Txt/Hyp term similarities

The rows are the txt words. The columns are hyp words.
Resource summary:
Acronym: AcronymLexicalResource
BasicWN: BasicWNLexicalResource
Country: CountryLexicalResource
Cyc: null
DekangLin: DekangLinLexicalResource
Google: null
InfoMap: InfoMapLexicalResource
NomBank: NomBankLexicalResource
Number: NumberLexicalResource
Ordinal: OrdinalLexicalResource
Preposition: PrepositionLexicalResource
Ravichandran: RavichandranLexicalResource
ResnikWN: ResnikWNLexicalResource
StringSim: StringSimLexicalResource

Inference ID: 1

Txt: Some students came to school by car.

Hyp: Some students came to school. (Yes.)

	Some DT	students NNS	came VBD	school NN	. .
Some:DT	0.00	20.00	20.00	20.00	10.00
students:NNS	20.00	0.00	15.00	0.75	20.00
came:VBD	20.00	15.00	0.00	12.45	17.90
school:NN	20.00	0.75	12.45	0.00	19.99
car:NN	20.00	8.95	13.49	7.06	19.69
.:.	10.00	20.00	17.90	19.99	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "car" of "came" dropped on aligned hyp word "came"; Location.mismatch: no clear info of matching: come(X, prep_to); Quant.contract: [some,some]; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 1.0000
Threshold: -3.3437

Inference ID: -1

Txt: Some students came to school by car.

Hyp: No students came to school. (Don't know.)

	No DT	students NNS	came VBD	school NN	. .
Some:DT	10.00	20.00	20.00	20.00	10.00
students:NNS	20.00	0.00	15.00	0.75	20.00
came:VBD	20.00	15.00	0.00	12.45	17.90
school:NN	20.00	0.75	12.45	0.00	19.99
car:NN	20.00	8.95	13.49	7.06	19.69
.:.	10.00	20.00	17.90	19.99	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -10.0000
Features matched: Adjunct.dropPosCxt: text adjunct "car" of "came" dropped on aligned hyp word "came"; Antonym.samePol: matching polarity with antonyms: No & Some; Location.mismatch: no clear info of matching: come(X, prep_to); Quant.oneNo: [some,no[
Hand-tuned score: -14.5000
Threshold: -3.3437

Inference ID: 2

Txt: No students came to school by car.

Hyp: Some students came to school. (Don't know.)

	Some DT	students NNS	came VBD	school NN	. .
No:DT	10.00	20.00	20.00	20.00	10.00
students:NNS	20.00	0.00	15.00	0.75	20.00
came:VBD	20.00	15.00	0.00	12.45	17.90
school:NN	20.00	0.75	12.45	0.00	19.99
car:NN	20.00	8.95	13.49	7.06	19.69
.:.	10.00	20.00	17.90	19.99	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -10.0000
Features matched: Adjunct.dropPosCxt: text adjunct "car" of "came" dropped on aligned hyp word "came"; Antonym.samePol: matching polarity with antonyms: Some & No; Location.mismatch: no clear info of matching: come(X, prep_to); Quant.oneNo: [no,some[
Hand-tuned score: -14.5000
Threshold: -3.3437

Inference ID: -2

Txt: No students came to school by car.

Hyp: No students came to school. (Don't know.)

	No DT	students NNS	came VBD	school NN	. .
No:DT	0.00	20.00	20.00	20.00	10.00
students:NNS	20.00	0.00	15.00	0.75	20.00
came:VBD	20.00	15.00	0.00	12.45	17.90
school:NN	20.00	0.75	12.45	0.00	19.99
car:NN	20.00	8.95	13.49	7.06	19.69
.:.	10.00	20.00	17.90	19.99	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "car" of "came" dropped on aligned hyp word "came"; Location.mismatch: no clear info of matching: come(X, prep_to); Quant.bothNo: [no,no]; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 1.0000
Threshold: -3.3437

Inference ID: 3

Txt: John drove legally.

Hyp: John drove. (Yes.)

	John NNP	drove VBD	. .
John:NNP	0.00	13.53	20.50
drove:VBD	13.53	0.00	18.77
legally:RB	15.46	19.96	19.03
.:.	20.50	18.77	0.00
NO_WORD	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "legally" of "drove" dropped on aligned hyp word "drove"; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 2.0000
Threshold: -3.3437

Inference ID: -3

Txt: John drove legally.

Hyp: John did not drive. (Don't know.)

	John NNP	did VBD	not RB	drive VB	. .
John:NNP	0.00	13.35	15.46	13.53	20.50
drove:VBD	13.53	8.93	19.96	0.50	18.77
legally:RB	15.46	17.86	9.96	19.50	19.03
.:.	20.50	17.99	20.00	19.58	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -10.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "drive": neg; NullPunisher.aux: did; NullPunisher.other: not
Hand-tuned score: -5.0500
Threshold: -3.3437

Inference ID: 4

Txt: John drove predictably.

Hyp: John drove. (Yes.)

	John NNP	drove VBD	. .
John:NNP	0.00	13.53	20.50
drove:VBD	13.53	0.00	18.77
predictably:RB	15.46	19.94	20.00
.:.	20.50	18.77	0.00
NO_WORD	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "predictably" of "drove" dropped on aligned hyp word "drove"; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 2.0000
Threshold: -3.3437

Inference ID: -4

Txt: John drove predictably.

Hyp: John did not drive. (Don't know.)

	John NNP	did VBD	not RB	drive VB	. .
John:NNP	0.00	13.35	15.46	13.53	20.50
drove:VBD	13.53	8.93	19.96	0.50	18.77
predictably:RB	15.46	19.17	9.96	19.68	20.00
.:.	20.50	17.99	20.00	19.58	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00

Inference ID: 5

Txt: Legally, John could drive.

Hyp: John drove. (Don't know.)

	John NNP	drove VBD	. .
Legally:RB	15.46	19.96	20.00
,:,	20.50	18.13	5.73
John:NNP	0.00	13.53	20.50
could:MD	20.46	19.96	10.00
drive:VB	13.53	0.50	19.58
.:.	20.50	18.77	0.00
NO_WORD	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -0.5000
Features matched: Adjunct.dropPosCxt: text adjunct "Legally" of "drive" dropped on aligned hyp word "drove"; Modal.dontKnow: possible -> actual; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 0.0000
Threshold: -3.3437

Inference ID: -5

Txt: Legally, John could drive.

Hyp: John did not drive. (Don't know.)

	John NNP	did VBD	not RB	drive VB	. .
Legally:RB	15.46	19.96	9.96	19.96	20.00
,:,	20.50	19.80	20.00	19.25	5.73
John:NNP	0.00	13.35	15.46	13.53	20.50
could:MD	20.46	17.84	19.96	19.96	10.00
drive:VB	13.53	6.26	19.96	0.00	19.58
.:.	20.50	17.99	20.00	19.58	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -10.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Modal.dontKnow: possible -> not actual; Polarity.hypNegMarker: "drive": neg; NullPunisher.other: not; NullPunisher.aux: did
Hand-tuned score: -7.0500
Threshold: -3.3437

Inference ID: 6

Txt: Predictably, John drove.

Hyp: John drove. (Yes.)

	John NNP	drove VBD	. .
Predictably:RB	15.46	19.96	20.00
,:,	20.50	18.13	5.73
John:NNP	0.00	13.53	20.50
drove:VBD	13.53	0.00	18.77
.:.	20.50	18.77	0.00
NO_WORD	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "Predictably" of "drove" dropped on aligned hyp word "drove"; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 2.0000
Threshold: -3.3437

Inference ID: -6

Txt: Predictably, John drove.

Hyp: John did not drive. (Don't know.)

	John NNP	did VBD	not RB	drive VB	. .
Predictably:RB	15.46	19.96	9.96	19.96	20.00
,:,	20.50	19.80	20.00	19.25	5.73
John:NNP	0.00	13.35	15.46	13.53	20.50
drove:VBD	13.53	8.93	19.96	0.50	18.77
.:.	20.50	17.99	20.00	19.58	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -10.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "drive": neg; NullPunisher.other: not; NullPunisher.aux: did
Hand-tuned score: -5.0500
Threshold: -3.3437

Inference ID: 7

Txt: The technician cooled the room.

Hyp: The technician lowered the temperature of the room. (Yes.)

	The DT	technician NN	lowered VBD	the DT	temperature NN	the DT	room NN	. .
The:DT	0.00	20.00	20.00	0.00	20.00	0.00	20.00	10.00
technician:NN	20.00	0.00	13.95	20.00	8.15	20.00	8.71	20.00
cooled:VBD	20.00	13.08	7.62	20.00	9.59	20.00	13.15	19.82
the:DT	0.00	20.00	20.00	0.00	20.00	0.00	20.00	10.00
room:NN	20.00	8.71	12.93	20.00	6.97	20.00	0.00	19.15
.:.	10.00	20.00	20.00	10.00	20.00	10.00	19.15	0.00
NO_WORD	1.00	10.00	10.00	1.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -16.5893
Features matched: RootEntailment.poorlyAlignedRoot: "lowered" aligned badly to "cooled"
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: -7

Txt: The technician cooled the room.

Hyp: The technician did not lower the temperature of the room. (Don't know.)

	The DT	technician NN	did VBD	not RB	lower VB	the DT	temperature NN	the DT	room NN	. .
The:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	0.00	20.00	10.00
technician:NN	20.00	0.00	12.84	14.96	13.95	20.00	8.15	20.00	8.71	20.00
cooled:VBD	20.00	13.08	7.53	19.96	7.62	20.00	9.59	20.00	13.15	19.82
the:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	0.00	20.00	10.00
room:NN	20.00	8.71	13.03	14.96	11.31	20.00	6.97	20.00	0.00	19.15
.:.	10.00	20.00	17.99	20.00	19.18	10.00	20.00	10.00	19.15	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	1.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -26.5893
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "lower": neg; NullPunisher.aux: did; NullPunisher.other: not; RootEntailment.poorlyAlignedRoot: "lower" aligned badly to "cooled"
Hand-tuned score: -7.0500
Threshold: -3.3437

Inference ID: 8

Txt: The technician raised the temperature of the room.

Hyp: The technician cooled the room. (Don't know.)

	The DT	technician NN	cooled VBD	the DT	room NN	. .
The:DT	0.00	20.00	20.00	0.00	20.00	10.00
technician:NN	20.00	0.00	13.08	20.00	8.71	20.00
raised:VBD	20.00	13.95	6.95	20.00	13.69	20.00
the:DT	0.00	20.00	20.00	0.00	20.00	10.00
temperature:NN	20.00	8.15	9.59	20.00	6.97	20.00
the:DT	0.00	20.00	20.00	0.00	20.00	10.00
room:NN	20.00	8.71	13.15	20.00	0.00	19.15
.:.	10.00	20.00	19.82	10.00	19.15	0.00
NO_WORD	1.00	10.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -8.9537
Features matched: RootEntailment.poorlyAlignedRoot: "cooled" aligned badly to "raised"; Structure.parentsMismatch: args have different parents, different relations: text "room" <-prep_of-- "temperature" vs. hyp "room" <-dobj-- "cooled", which aligned to text "raised"
Hand-tuned score: -4.0000
Threshold: -3.3437

Inference ID: -8

Txt: The technician raised the temperature of the room.

Hyp: The technician did not cool the room. (Yes.)

	The DT	technician NN	did VBD	not RB	cool VB	the DT	room NN	. .
The:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
technician:NN	20.00	0.00	12.84	14.96	13.08	20.00	8.71	20.00
raised:VBD	20.00	13.95	5.44	19.96	6.95	20.00	13.69	20.00
the:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
temperature:NN	20.00	8.15	12.53	14.96	9.59	20.00	6.97	20.00
the:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
room:NN	20.00	8.71	13.03	14.96	11.00	20.00	0.00	19.15
.:.	10.00	20.00	17.99	20.00	20.00	10.00	19.15	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -18.9537
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "cool": neg; NullPunisher.aux: did; NullPunisher.other: not; RootEntailment.poorlyAlignedRoot: "cool" aligned badly to "raised"; Structure.parentsMismatch: args have different parents, different relations: text "room" <-prep_of-- "temperature" vs. hyp "room" <-dobj-- "cool", which aligned to text "raised"
Hand-tuned score: -10.0500
Threshold: -3.3437

Inference ID: 9

Txt: The president visited Iraq in September.

Hyp: The president has gone to Iraq. (Yes.)

	The DT	president NN	has VBZ	gone VBN	Iraq NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.50	10.00
president:NN	20.00	0.00	14.34	12.72	9.84	20.00
visited:VBD	20.00	13.07	10.00	7.43	15.50	19.78
Iraq:NNP	20.50	9.84	13.02	14.84	0.00	20.50
September:NNP	20.50	10.50	14.19	12.73	15.00	20.50
.:.	10.00	20.00	20.00	19.35	20.50	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -10.4338
Features matched: Adjunct.dropPosCxt: text adjunct "September" of "Iraq" dropped on aligned hyp word "Iraq"; NullPunisher.aux: has; RootEntailment.poorlyAlignedRoot: "gone" aligned badly to "visited"; Structure.relMismatch: text "Iraq" is dobj of "visited" while hyp "Iraq" is prep_to of "gone" which aligned to text "visited"
Hand-tuned score: -1.5500
Threshold: -3.3437

Inference ID: -9

Txt: The president visited Iraq in September.

Hyp: The president has not gone to Iraq. (Don't know.)

	The DT	president NN	has VBZ	not RB	gone VBN	Iraq NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
president:NN	20.00	0.00	14.34	14.96	12.72	9.84	20.00
visited:VBD	20.00	13.07	10.00	19.96	7.43	15.50	19.78
Iraq:NNP	20.50	9.84	13.02	15.46	14.84	0.00	20.50
September:NNP	20.50	10.50	14.19	15.46	12.73	15.00	20.50
.:.	10.00	20.00	20.00	20.00	19.35	20.50	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -19.4338
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "gone": neg; NullPunisher.other: not; NullPunisher.aux: has; RootEntailment.poorlyAlignedRoot: "gone" aligned badly to "visited"; Structure.relMismatch: text "Iraq" is dobj of "visited" while hyp "Iraq" is prep_to of "gone" which aligned to text "visited"
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 10

Txt: Jones has visited Iraq.

Hyp: Jones visited Iraq in September. (Don't know.)

	Jones NNP	visited VBD	Iraq NNP	September NNP	. .
Jones:NNP	0.00	15.50	14.34	15.00	20.50
has:VBZ	14.84	10.00	13.02	14.19	20.00
visited:VBN	15.50	0.00	15.50	15.50	19.78
Iraq:NNP	14.34	15.50	0.00	15.00	20.50
.:.	20.50	19.78	20.50	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -10.0000
Features matched: Adjunct.addPosCxt: hyp added September[September-NNP]; Date.hypDateIns: hypothesis date insertion: September; NullPunisher.other: September
Hand-tuned score: -3.0000
Threshold: -3.3437

Inference ID: -10

Txt: Jones has visited Iraq.

Hyp: Jones did not visit Iraq in September. (Don't know.)

	Jones NNP	did VBD	not RB	visit VB	Iraq NNP	September NNP	. .
Jones:NNP	0.00	15.50	15.46	15.50	14.34	15.00	20.50
has:VBZ	14.84	7.53	19.96	10.00	13.02	14.19	20.00
visited:VBN	15.50	7.62	19.96	0.31	15.50	15.50	19.78
Iraq:NNP	14.34	15.50	15.46	15.50	0.00	15.00	20.50
.:.	20.50	17.99	20.00	20.00	20.50	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -20.3094
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Date.hypDateIns: hypothesis date insertion: September; Polarity.hypNegMarker: "visit": neg; NullPunisher.other: not; NullPunisher.aux: did; NullPunisher.other: September
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 11

Txt: Jones arrived in Paris in September last year.

Hyp: Jones arrived in Paris last year. (Yes.)

	Jones NNP	arrived VBD	Paris NNP	last JJ	year NN	. .
Jones:NNP	0.00	15.00	9.84	11.45	10.50	20.00
arrived:VBD	15.00	0.00	15.50	12.50	15.28	20.00
Paris:NNP	9.84	15.50	0.00	16.34	13.13	20.50
September:NNP	10.50	15.50	15.00	9.84	7.23	20.50
last:JJ	11.45	12.50	16.34	0.00	9.84	20.50
year:NN	10.50	15.28	13.13	9.84	0.00	17.60
.:.	20.00	20.00	20.50	20.50	17.60	0.00
NO_WORD	10.00	10.00	10.00	9.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "September" of "Paris" dropped on aligned hyp word "Paris"; Date.matchDatesByGraph: hyp/txt matching, by graph: year and children; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 3.0000
Threshold: -3.3437

Inference ID: -11

Txt: Jones arrived in Paris in September last year.

Hyp: Jones did not arrive in Paris last year. (Don't know.)

	Jones NNP	did VBD	not RB	arrive VB	Paris NNP	last JJ	year NN	. .
Jones:NNP	0.50	15.00	14.96	15.00	9.84	11.45	10.50	20.00
arrived:VBD	15.50	7.47	19.96	0.50	15.50	12.50	15.28	20.00
Paris:NNP	14.34	15.50	15.46	15.50	0.00	16.34	13.13	20.50
September:NNP	15.00	14.19	15.46	15.50	15.00	9.84	7.23	20.50
last:JJ	15.95	10.19	12.46	12.50	16.34	0.00	9.84	20.50
year:NN	15.00	14.19	15.46	15.50	13.13	9.84	0.00	17.60
.:.	20.50	17.99	20.00	20.00	20.50	20.50	17.60	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Date.matchDatesByGraph: hyp/txt matching, by graph: year and children; Polarity.hypNegMarker: "arrive": neg; NullPunisher.aux: did; NullPunisher.other: not
Hand-tuned score: -4.0500
Threshold: -3.3437

Inference ID: 12

Txt: Jones arrived in Paris in September last year.

Hyp: Jones arrived in Paris in September. (Don't know.)

	Jones NNP	arrived VBD	Paris NNP	September NNP	. .
Jones:NNP	0.00	15.00	9.84	10.50	20.00
arrived:VBD	15.00	0.00	15.50	15.50	20.00
Paris:NNP	9.84	15.50	0.00	15.00	20.50
September:NNP	10.50	15.50	15.00	0.00	20.50
last:JJ	11.45	12.50	16.34	9.84	20.50
year:NN	10.50	15.28	13.13	7.23	17.60
.:.	20.00	20.00	20.50	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Adjunct.dropPosCxt: text adjunct "year" of "arrived" dropped on aligned hyp word "arrived"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 09/01/1000; Structure.argsMismatch: args have different parents but same relations: text "September" <-prep_in-- "Paris vs. hyp "September" <-prep_in-- "arrived", which aligned to text "arrived"
Hand-tuned score: -0.5000
Threshold: -3.3437

Inference ID: -12

Txt: Jones arrived in Paris in September last year.

Hyp: Jones did not arrive in Paris in September. (Don't know.)

	Jones NNP	did VBD	not RB	arrive VB	Paris NNP	September NNP	. .
Jones:NNP	0.50	15.00	14.96	15.00	9.84	10.50	20.00
arrived:VBD	15.50	7.47	19.96	0.50	15.50	15.50	20.00
Paris:NNP	14.34	15.50	15.46	15.50	0.00	15.00	20.50
September:NNP	15.00	14.19	15.46	15.50	15.00	0.00	20.50
last:JJ	15.95	10.19	12.46	12.50	16.34	9.84	20.50
year:NN	15.00	14.19	15.46	15.50	13.13	7.23	17.60
.:.	20.50	17.99	20.00	20.00	20.50	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 09/01/1000; Polarity.hypNegMarker: "arrive": neg; NullPunisher.aux: did; NullPunisher.other: not
Hand-tuned score: -4.0500
Threshold: -3.3437

Inference ID: 13

Txt: Jones arrived on a Sunday in September.

Hyp: Jones arrived on a Sunday. (Yes.)

	Jones NNP	arrived VBD	a DT	Sunday NNP	. .
Jones:NNP	0.00	15.00	20.00	10.50	20.00
arrived:VBD	15.00	0.00	20.00	15.50	20.00
a:DT	20.00	20.00	0.00	20.50	10.00
Sunday:NNP	10.50	15.50	20.50	0.00	20.50
September:NNP	10.50	15.50	20.50	7.23	20.50
.:.	20.00	20.00	10.00	20.50	0.00
NO_WORD	10.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "September" of "arrived" dropped on aligned hyp word "arrived"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Quant.contract: [a,a]; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 4.0000
Threshold: -3.3437

Inference ID: -13

Txt: Jones arrived on a Sunday in September.

Hyp: Jones did not arrive on a Sunday. (Don't know.)

	Jones NNP	did VBD	not RB	arrive VB	a DT	Sunday NNP	. .
Jones:NNP	0.50	15.00	14.96	15.00	20.00	10.50	20.00
arrived:VBD	15.50	7.47	19.96	0.50	20.00	15.50	20.00
a:DT	20.50	20.00	20.00	20.00	0.00	20.50	10.00
Sunday:NNP	15.00	10.20	15.46	15.50	20.50	0.00	20.50
September:NNP	15.00	14.19	15.46	15.50	20.50	7.23	20.50
.:.	20.50	17.99	20.00	20.00	10.00	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Polarity.hypNegMarker: "arrive": neg; NullPunisher.other: not; NullPunisher.aux: did; Quant.contract: [a,a]
Hand-tuned score: -3.0500
Threshold: -3.3437

Inference ID: 14

Txt: Jones arrived on a Sunday in September.

Hyp: Jones arrived in September. (Yes.)

	Jones NNP	arrived VBD	September NNP	. .
Jones:NNP	0.00	15.00	10.50	20.00
arrived:VBD	15.00	0.00	15.50	20.00
a:DT	20.00	20.00	20.50	10.00
Sunday:NNP	10.50	15.50	7.23	20.50
September:NNP	10.50	15.50	0.00	20.50
.:.	20.00	20.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "Sunday" of "arrived" dropped on aligned hyp word "arrived"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 09/01/1000; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 3.0000
Threshold: -3.3437

Inference ID: -14

Txt: Jones arrived on a Sunday in September.

Hyp: Jones did not arrive in September. (Don't know.)

	Jones NNP	did VBD	not RB	arrive VB	September NNP	. .
Jones:NNP	0.50	15.00	14.96	15.00	10.50	20.00
arrived:VBD	15.50	7.47	19.96	0.50	15.50	20.00
a:DT	20.50	20.00	20.00	20.00	20.50	10.00
Sunday:NNP	15.00	10.20	15.46	15.50	7.23	20.50
September:NNP	15.00	14.19	15.46	15.50	0.00	20.50
.:.	20.50	17.99	20.00	20.00	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00

Inference ID: 15

Txt: The president left after the diplomat arrived.

Hyp: The diplomat arrived before the president left. (Yes.)

	The DT	diplomat NN	arrived VBD	before IN	the DT	president NN	left VBD	. .
The:DT	0.00	20.00	20.00	20.00	0.00	20.00	20.00	10.00
president:NN	20.00	3.94	13.72	20.00	20.00	0.00	13.35	20.00
left:VBD	20.00	14.34	6.03	20.00	20.00	13.35	0.00	19.46
after:IN	20.00	20.00	20.00	0.00	17.88	20.00	20.00	20.00
the:DT	0.00	20.00	20.00	20.00	0.00	20.00	20.00	10.00
diplomat:NN	20.00	0.00	13.41	20.00	20.00	3.94	14.34	19.87
arrived:VBD	20.00	13.41	0.00	20.00	20.00	13.72	6.03	20.00
.:.	10.00	19.87	20.00	20.00	10.00	20.00	19.46	0.00
NO_WORD	1.00	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -6.0000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "left vs. hyp "." <-punct-- "arrived", which aligned to text "arrived"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: -15

Txt: The president left after the diplomat arrived.

Hyp: The diplomat did not arrive before the president left. (Don't know.)

	The DT	diplomat NN	did VBD	not RB	arrive VB	before IN	the DT	president NN	left VBD	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.00	0.00	20.00	20.00	10.00
president:NN	20.00	3.94	15.00	14.96	14.47	20.00	20.00	0.00	13.35	20.00
left:VBD	20.00	14.34	7.37	19.96	9.62	20.00	20.00	13.35	0.00	19.46
after:IN	20.00	20.00	20.00	20.00	20.00	0.00	17.88	20.00	20.00	20.00
the:DT	0.00	20.00	20.00	20.00	20.00	20.00	0.00	20.00	20.00	10.00
diplomat:NN	20.00	0.00	15.00	14.96	13.56	20.00	20.00	3.94	14.34	19.87
arrived:VBD	20.00	13.41	7.47	19.96	0.50	20.00	20.00	13.72	6.03	20.00
.:.	10.00	19.87	17.99	20.00	20.00	20.00	10.00	20.00	19.46	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -16.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "arrive": neg; NullPunisher.other: not; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "left vs. hyp "." <-punct-- "arrive", which aligned to text "arrived"
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 16

Txt: No US congressman has visited Iraq since the war ended.

Hyp: Jones, a US Congressman, has visited Iraq after the war ended. (Don't know.)

Jones
NNP

,
,

a
DT

US_Congressman
NNP

,
,

has
VBZ

visited
VBN

Iraq
NNP

after
IN

the
DT

war
NN

ended
VBD

.
.

No:DT

20.50

10.00

20.50

10.00

20.00

20.50

20.00

10.00

20.00

10.00

US:NNP

14.34

20.50

5.00

20.50

13.02

15.50

5.34

20.50

10.50

13.02

20.50

congressman:NN

10.19

19.74

20.50

5.00

19.74

14.84

15.32

14.34

20.50

9.08

13.55

20.50

has:VBZ

14.84

20.00

14.26

20.00

0.00

10.00

13.02

20.00

15.00

7.52

20.00

visited:VBN

15.50

19.44

20.00

15.46

19.44

10.00

0.00

15.50

20.00

12.10

7.62

19.78

Iraq:NNP

14.34

20.50

12.67

20.50

13.02

15.50

0.00

20.50

10.50

13.02

20.50

since:IN

20.50

20.00

20.50

20.00

20.50

0.00

20.00

the:DT

20.50

10.00

20.50

10.00

20.00

20.50

17.88

0.00

20.00

10.00

war:NN

10.50

20.00

10.46

20.00

15.00

12.10

10.50

20.00

0.00

12.44

19.45

ended:VBD

9.59

18.30

20.00

14.26

18.30

7.52

7.62

13.02

20.00

12.44

0.00

20.00

.:.

20.50

5.73

10.00

20.50

5.73

20.00

19.78

20.50

20.00

10.00

19.45

20.00

0.00

NO_WORD

10.00

1.00

10.00

1.00

10.00

1.00

10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -33.4591
Features matched: Adjunct.dropPosCxt: text adjunct "US" of "congressman" dropped on aligned hyp word "US_Congressman"; NullPunisher.other: Jones; NullPunisher.article: a; Quant.oneNo: [no,a[
Hand-tuned score: -5.6000
Threshold: -3.3437

Inference ID: -16

Txt: No US congressman has visited Iraq since the war ended.

Hyp: Jones, a US Congressman, has not visited Iraq after the war ended. (Yes.)

Jones
NNP

,
,

a
DT

US_Congressman
NNP

,
,

has
VBZ

not
RB

visited
VBN

Iraq
NNP

after
IN

the
DT

war
NN

ended
VBD

.
.

No:DT

20.50

10.00

20.50

10.00

20.00

20.50

20.00

10.00

20.00

10.00

US:NNP

14.34

20.50

5.00

20.50

13.02

15.46

15.50

5.34

20.50

10.50

13.02

20.50

congressman:NN

10.19

19.74

20.50

5.00

19.74

14.84

15.46

15.32

14.34

20.50

9.08

13.55

20.50

has:VBZ

14.84

20.00

14.26

20.00

0.00

19.96

10.00

13.02

20.00

15.00

7.52

20.00

visited:VBN

15.50

19.44

20.00

15.46

19.44

10.00

19.96

0.00

15.50

20.00

12.10

7.62

19.78

Iraq:NNP

14.34

20.50

12.67

20.50

13.02

15.46

15.50

0.00

20.50

10.50

13.02

20.50

since:IN

20.50

20.00

20.50

20.00

20.50

0.00

20.00

the:DT

20.50

10.00

20.50

10.00

20.00

20.50

17.88

0.00

20.00

10.00

war:NN

10.50

20.00

10.46

20.00

15.00

14.96

12.10

10.50

20.00

0.00

12.44

19.45

ended:VBD

9.59

18.30

20.00

14.26

18.30

7.52

19.96

7.62

13.02

20.00

12.44

0.00

20.00

.:.

20.50

5.73

10.00

20.50

5.73

20.00

19.78

20.50

20.00

10.00

19.45

20.00

0.00

NO_WORD

10.00

1.00

10.00

1.00

9.00

10.00

1.00

10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -42.4591
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "visited": neg; NullPunisher.other: not; NullPunisher.other: Jones; NullPunisher.article: a; Quant.oneNo: [no,a[
Hand-tuned score: -12.1000
Threshold: -3.3437

Inference ID: 17

Txt: No US congressman has visited Iraq since the war.

Hyp: Jones, a US Congressman, visited Iraq before the war. (Don't know.)

	Jones NNP	, ,	a DT	US_Congressman NNP	, ,	visited VBD	Iraq NNP	the DT	war NN	. .
No:DT	20.50	10.00	10.00	20.50	10.00	20.00	20.50	10.00	20.00	10.00
US:NNP	14.34	20.50	20.50	5.00	20.50	15.50	5.34	20.50	10.50	20.50
congressman:NN	10.19	19.74	20.50	5.00	19.74	15.32	14.34	20.50	9.08	20.50
has:VBZ	14.84	20.00	20.00	14.26	20.00	10.00	13.02	20.00	15.00	20.00
visited:VBN	15.50	19.44	20.00	15.46	19.44	0.00	15.50	20.00	12.10	19.78
Iraq:NNP	14.34	20.50	20.50	12.67	20.50	15.50	0.00	20.50	10.50	20.50
the:DT	20.50	10.00	10.00	20.50	10.00	20.00	20.50	0.00	20.00	10.00
war:NN	10.50	20.00	20.00	10.46	20.00	12.10	10.50	20.00	0.00	19.45
.:.	20.50	5.73	10.00	20.50	5.73	19.78	20.50	10.00	19.45	0.00
NO_WORD	10.00	10.00	1.00	10.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -35.4591
Features matched: Adjunct.dropPosCxt: text adjunct "US" of "congressman" dropped on aligned hyp word "US_Congressman"; NullPunisher.article: a; NullPunisher.other: Jones; Quant.oneNo: [no,a[; Structure.parentsMismatch: args have different parents, different relations: text "war" <-prep_since-- "Iraq" vs. hyp "war" <-prep_before-- "visited", which aligned to text "visited"
Hand-tuned score: -8.6000
Threshold: -3.3437

Inference ID: -17

Txt: No US congressman has visited Iraq since the war.

Hyp: Jones, a US Congressman, did not visit Iraq before the war. (Don't know.)

Jones
NNP

,
,

a
DT

US_Congressman
NNP

,
,

did
VBD

not
RB

visit
VB

Iraq
NNP

the
DT

war
NN

.
.

No:DT

20.50

10.00

20.50

10.00

20.00

20.50

10.00

20.00

10.00

US:NNP

14.34

20.50

5.00

20.50

15.50

15.46

15.50

5.34

20.50

10.50

20.50

congressman:NN

10.19

19.74

20.50

5.00

19.74

14.41

15.46

15.50

14.34

20.50

9.08

20.50

has:VBZ

14.84

20.00

14.26

20.00

7.53

19.96

10.00

13.02

20.00

15.00

20.00

visited:VBN

15.50

19.44

20.00

15.46

19.44

7.62

19.96

0.31

15.50

20.00

12.10

19.78

Iraq:NNP

14.34

20.50

12.67

20.50

15.50

15.46

15.50

0.00

20.50

10.50

20.50

the:DT

20.50

10.00

20.50

10.00

20.00

20.50

0.00

20.00

10.00

war:NN

10.50

20.00

10.46

20.00

12.69

14.96

12.10

10.50

20.00

0.00

19.45

.:.

20.50

5.73

10.00

20.50

5.73

17.99

20.00

20.50

10.00

19.45

0.00

NO_WORD

10.00

1.00

10.00

1.00

9.00

10.00

1.00

10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -45.7685
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "visit": neg; NullPunisher.article: a; NullPunisher.other: not; NullPunisher.aux: did; NullPunisher.other: Jones; Quant.oneNo: [no,a[; Structure.parentsMismatch: args have different parents, different relations: text "war" <-prep_since-- "Iraq" vs. hyp "war" <-prep_before-- "visit", which aligned to text "visited"
Hand-tuned score: -15.1500
Threshold: -3.3437

Inference ID: 18

Txt: No US congressman visited Iraq until the war.

Hyp: Some US congressman visited Iraq before the war. (Don't know.)

	Some DT	US NNP	congressman NN	visited VBD	Iraq NNP	the DT	war NN	. .
No:DT	10.00	20.50	20.00	20.00	20.50	10.00	20.00	10.00
US:NNP	20.50	0.00	9.84	15.50	5.34	20.50	10.50	20.50
congressman:NN	20.00	9.84	0.00	14.82	9.84	20.00	8.58	20.00
visited:VBD	20.00	15.50	14.82	0.00	15.50	20.00	12.10	19.78
Iraq:NNP	20.50	5.34	9.84	15.50	0.00	20.50	10.50	20.50
the:DT	10.00	20.50	20.00	20.00	20.50	0.00	20.00	10.00
war:NN	20.00	10.50	8.58	12.10	10.50	20.00	0.00	19.45
.:.	10.00	20.50	20.00	19.78	20.50	10.00	19.45	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Antonym.samePol: matching polarity with antonyms: Some & No; Quant.oneNo: [no,some[; Structure.relMismatch: text "war" is prep_until of "visited" while hyp "war" is prep_before of "visited" which aligned to text "visited"
Hand-tuned score: -14.0000
Threshold: -3.3437

Inference ID: -18

Txt: No US congressman visited Iraq until the war.

Hyp: No US congressman visited Iraq before the war. (Yes.)

	No DT	US NNP	congressman NN	visited VBD	Iraq NNP	the DT	war NN	. .
No:DT	0.00	20.50	20.00	20.00	20.50	10.00	20.00	10.00
US:NNP	20.50	0.00	9.84	15.50	5.34	20.50	10.50	20.50
congressman:NN	20.00	9.84	0.00	14.82	9.84	20.00	8.58	20.00
visited:VBD	20.00	15.50	14.82	0.00	15.50	20.00	12.10	19.78
Iraq:NNP	20.50	5.34	9.84	15.50	0.00	20.50	10.50	20.50
the:DT	10.00	20.50	20.00	20.00	20.50	0.00	20.00	10.00
war:NN	20.00	10.50	8.58	12.10	10.50	20.00	0.00	19.45
.:.	10.00	20.50	20.00	19.78	20.50	10.00	19.45	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -1.0000
Features matched: Quant.bothNo: [no,no]; Structure.relMismatch: text "war" is prep_until of "visited" while hyp "war" is prep_before of "visited" which aligned to text "visited"
Hand-tuned score: 1.0000
Threshold: -3.3437

Inference ID: 19

Txt: Some students arrived at the school on Sunday.

Hyp: There were some students at the school on Sunday. (Yes.)

	There EX	were VBD	some DT	students NNS	the DT	school NN	Sunday NNP	. .
Some:DT	10.00	20.00	0.00	20.00	10.00	20.00	20.50	10.00
students:NNS	20.00	14.34	20.00	0.00	20.00	0.75	10.50	20.00
arrived:VBD	20.00	10.00	20.00	14.29	20.00	13.50	15.50	20.00
the:DT	10.00	20.00	10.00	20.00	0.00	20.00	20.50	10.00
school:NN	20.00	14.34	20.00	0.75	20.00	0.00	7.73	19.99
Sunday:NNP	20.50	15.50	20.50	10.50	20.50	7.73	0.00	20.50
.:.	10.00	20.00	10.00	20.00	10.00	19.99	20.50	0.00
NO_WORD	1.00	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -15.0000
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; NullPunisher.functionWord: There; Quant.contract: [some,some]; RootEntailment.poorlyAlignedRoot: "were" aligned badly to "arrived"
Hand-tuned score: 0.9000
Threshold: -3.3437

Inference ID: -19

Txt: Some students arrived at the school on Sunday.

Hyp: There were no students at the school on Sunday. (Don't know.)

	There EX	were VBD	no DT	students NNS	the DT	school NN	Sunday NNP	. .
Some:DT	10.00	20.00	10.00	20.00	10.00	20.00	20.50	10.00
students:NNS	20.00	14.34	20.00	0.00	20.00	0.75	10.50	20.00
arrived:VBD	20.00	10.00	20.00	14.29	20.00	13.50	15.50	20.00
the:DT	10.00	20.00	10.00	20.00	0.00	20.00	20.50	10.00
school:NN	20.00	14.34	20.00	0.75	20.00	0.00	7.73	19.99
Sunday:NNP	20.50	15.50	20.50	10.50	20.50	7.73	0.00	20.50
.:.	10.00	20.00	10.00	20.00	10.00	19.99	20.50	0.00
NO_WORD	1.00	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -25.0000
Features matched: Antonym.samePol: matching polarity with antonyms: no & Some; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Polarity.hypNegMarker: "no": no; NullPunisher.functionWord: There; Quant.oneNo: [some,no[; RootEntailment.poorlyAlignedRoot: "were" aligned badly to "arrived"
Hand-tuned score: -14.1000
Threshold: -3.3437

Inference ID: 20

Txt: No students arrived at the school on Sunday.

Hyp: There were some students at the school on Sunday. (Don't know.)

	There EX	were VBD	some DT	students NNS	the DT	school NN	Sunday NNP	. .
No:DT	10.00	20.00	10.00	20.00	10.00	20.00	20.50	10.00
students:NNS	20.00	14.34	20.00	0.00	20.00	0.75	10.50	20.00
arrived:VBD	20.00	10.00	20.00	14.29	20.00	13.50	15.50	20.00
the:DT	10.00	20.00	10.00	20.00	0.00	20.00	20.50	10.00
school:NN	20.00	14.34	20.00	0.75	20.00	0.00	7.73	19.99
Sunday:NNP	20.50	15.50	20.50	10.50	20.50	7.73	0.00	20.50
.:.	10.00	20.00	10.00	20.00	10.00	19.99	20.50	0.00
NO_WORD	1.00	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -25.0000
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; NullPunisher.functionWord: There; NullPunisher.other: some; Quant.oneNo: [no,some[; RootEntailment.poorlyAlignedRoot: "were" aligned badly to "arrived"
Hand-tuned score: -7.1000
Threshold: -3.3437

Inference ID: -20

Txt: No students arrived at the school on Sunday.

Hyp: There were no students at the school on Sunday. (Don't know.)

	There EX	were VBD	no DT	students NNS	the DT	school NN	Sunday NNP	. .
No:DT	10.00	20.00	0.00	20.00	10.00	20.00	20.50	10.00
students:NNS	20.00	14.34	20.00	0.00	20.00	0.75	10.50	20.00
arrived:VBD	20.00	10.00	20.00	14.29	20.00	13.50	15.50	20.00
the:DT	10.00	20.00	10.00	20.00	0.00	20.00	20.50	10.00
school:NN	20.00	14.34	20.00	0.75	20.00	0.00	7.73	19.99
Sunday:NNP	20.50	15.50	20.50	10.50	20.50	7.73	0.00	20.50
.:.	10.00	20.00	10.00	20.00	10.00	19.99	20.50	0.00
NO_WORD	1.00	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -15.0000
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Polarity.hypNegMarker: "no": no; NullPunisher.functionWord: There; Quant.bothNo: [no,no]; RootEntailment.poorlyAlignedRoot: "were" aligned badly to "arrived"
Hand-tuned score: 0.9000
Threshold: -3.3437

Inference ID: 21

Txt: There were no students at the school on Sunday.

Hyp: Some students arrived at the school on Sunday. (Don't know.)

	Some DT	students NNS	arrived VBD	the DT	school NN	Sunday NNP	. .
There:EX	10.00	20.00	20.00	10.00	20.00	20.50	10.00
were:VBD	20.00	14.34	10.00	20.00	14.34	15.50	20.00
no:DT	10.00	20.00	20.00	10.00	20.00	20.50	10.00
students:NNS	20.00	0.00	14.29	20.00	0.75	10.50	20.00
the:DT	10.00	20.00	20.00	0.00	20.00	20.50	10.00
school:NN	20.00	0.75	13.50	20.00	0.00	7.73	19.99
Sunday:NNP	20.50	10.50	15.50	20.50	7.73	0.00	20.50
.:.	10.00	20.00	20.00	10.00	19.99	20.50	0.00
NO_WORD	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -24.0000
Features matched: Antonym.samePol: matching polarity with antonyms: Some & no; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Polarity.txtNegMarker: "no": no; Quant.oneNo: [no,some[; RootEntailment.poorlyAlignedRoot: "arrived" aligned badly to "were"; Structure.argsMismatch: args have different parents but same relations: text "school" <-prep_at-- "students vs. hyp "school" <-prep_at-- "arrived", which aligned to text "were" args have different parents but same relations: text "Sunday" <-prep_on-- "school vs. hyp "Sunday" <-prep_on-- "arrived", which aligned to text "were"
Hand-tuned score: -17.0000
Threshold: -3.3437

Inference ID: -21

Txt: There were no students at the school on Sunday.

Hyp: No students arrived at the school on Sunday. (Yes.)

	No DT	students NNS	arrived VBD	the DT	school NN	Sunday NNP	. .
There:EX	10.00	20.00	20.00	10.00	20.00	20.50	10.00
were:VBD	20.00	14.34	10.00	20.00	14.34	15.50	20.00
no:DT	0.00	20.00	20.00	10.00	20.00	20.50	10.00
students:NNS	20.00	0.00	14.29	20.00	0.75	10.50	20.00
the:DT	10.00	20.00	20.00	0.00	20.00	20.50	10.00
school:NN	20.00	0.75	13.50	20.00	0.00	7.73	19.99
Sunday:NNP	20.50	10.50	15.50	20.50	7.73	0.00	20.50
.:.	10.00	20.00	20.00	10.00	19.99	20.50	0.00
NO_WORD	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -14.0000
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Polarity.txtNegMarker: "no": no; Quant.bothNo: [no,no]; RootEntailment.poorlyAlignedRoot: "arrived" aligned badly to "were"; Structure.argsMismatch: args have different parents but same relations: text "school" <-prep_at-- "students vs. hyp "school" <-prep_at-- "arrived", which aligned to text "were" args have different parents but same relations: text "Sunday" <-prep_on-- "school vs. hyp "Sunday" <-prep_on-- "arrived", which aligned to text "were"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: 22

Txt: The diplomat left Baghdad last week.

Hyp: The diplomat has been to Baghdad. (Yes.)

	The DT	diplomat NN	has VBZ	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.34	9.84	19.87
left:VBD	20.00	14.34	7.52	9.34	11.79	19.46
Baghdad:NNP	20.50	9.84	13.02	14.84	0.00	20.50
last:JJ	20.50	11.45	11.19	10.83	16.34	20.50
week:NN	20.50	10.50	14.19	15.50	15.00	17.43
.:.	10.00	19.87	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -12.3420
Features matched: Adjunct.dropPosCxt: text adjunct "week" of "left" dropped on aligned hyp word "been"; NullPunisher.aux: has; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "left"; Structure.relMismatch: text "Baghdad" is dobj of "left" while hyp "Baghdad" is prep_to of "been" which aligned to text "left"
Hand-tuned score: -1.5500
Threshold: -3.3437

Inference ID: -22

Txt: The diplomat left Baghdad last week.

Hyp: The diplomat has not been to Baghdad. (Don't know.)

	The DT	diplomat NN	has VBZ	not RB	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.96	14.34	9.84	19.87
left:VBD	20.00	14.34	7.52	19.96	9.34	11.79	19.46
Baghdad:NNP	20.50	9.84	13.02	15.46	14.84	0.00	20.50
last:JJ	20.50	11.45	11.19	12.46	10.83	16.34	20.50
week:NN	20.50	10.50	14.19	15.46	15.50	15.00	17.43
.:.	10.00	19.87	20.00	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -21.3420
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "been": neg; NullPunisher.other: not; NullPunisher.aux: has; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "left"; Structure.relMismatch: text "Baghdad" is dobj of "left" while hyp "Baghdad" is prep_to of "been" which aligned to text "left"
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 23

Txt: The diplomat will arrive in Baghdad next week.

Hyp: The diplomat has been to Baghdad. (Don't know.)

	The DT	diplomat NN	has VBZ	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.34	9.84	19.87
will:MD	10.00	20.00	18.69	20.00	20.50	10.00
arrive:VB	20.00	13.56	10.00	10.00	15.50	20.00
Baghdad:NNP	20.50	9.84	13.02	14.84	0.00	20.50
next:JJ	20.00	11.96	11.96	11.96	12.46	20.00
week:NN	20.00	10.00	13.69	15.00	10.50	16.93
.:.	10.00	19.87	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -12.0000
Features matched: Adjunct.dropPosCxt: text adjunct "week" of "arrive" dropped on aligned hyp word "been"; NullPunisher.aux: has; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "arrive"; Structure.relMismatch: text "Baghdad" is prep_in of "arrive" while hyp "Baghdad" is prep_to of "been" which aligned to text "arrive"
Hand-tuned score: -1.5500
Threshold: -3.3437

Inference ID: -23

Txt: The diplomat will arrive in Baghdad next week.

Hyp: The diplomat has not been to Baghdad. (Don't know.)

	The DT	diplomat NN	has VBZ	not RB	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.96	14.34	9.84	19.87
will:MD	10.00	20.00	18.69	19.96	20.00	20.50	10.00
arrive:VB	20.00	13.56	10.00	19.96	10.00	15.50	20.00
Baghdad:NNP	20.50	9.84	13.02	15.46	14.84	0.00	20.50
next:JJ	20.00	11.96	11.96	11.96	11.96	12.46	20.00
week:NN	20.00	10.00	13.69	14.96	15.00	10.50	16.93
.:.	10.00	19.87	20.00	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -21.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "been": neg; NullPunisher.aux: has; NullPunisher.other: not; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "arrive"; Structure.relMismatch: text "Baghdad" is prep_in of "arrive" while hyp "Baghdad" is prep_to of "been" which aligned to text "arrive"
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 24

Txt: The president knows that the diplomat left Baghdad.

Hyp: The diplomat has been to Baghdad. (Yes.)

	The DT	diplomat NN	has VBZ	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.50	10.00
president:NN	20.00	3.94	14.34	14.34	9.84	20.00
knows:VBZ	20.00	13.88	10.00	8.07	15.50	20.00
that:IN	20.00	20.00	20.00	20.00	20.50	20.00
the:DT	0.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.34	9.84	19.87
left:VBD	20.00	14.34	7.52	9.34	11.79	19.46
Baghdad:NNP	20.50	9.84	13.02	14.84	0.00	20.50
.:.	10.00	19.87	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -13.0669
Features matched: NullPunisher.aux: has; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "knows"; Structure.argsMismatch: args have different parents but same relations: text "diplomat" <-nsubj-- "left vs. hyp "diplomat" <-nsubj-- "been", which aligned to text "knows" args have different parents, different relations: text "Baghdad" <-dobj-- "left" vs. hyp "Baghdad" <-prep_to-- "been", which aligned to text "knows"
Hand-tuned score: -4.0500
Threshold: -3.3437

Inference ID: -24

Txt: The president knows that the diplomat left Baghdad.

Hyp: The diplomat has not been to Baghdad. (Don't know.)

	The DT	diplomat NN	has VBZ	not RB	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
president:NN	20.00	3.94	14.34	14.96	14.34	9.84	20.00
knows:VBZ	20.00	13.88	10.00	19.96	8.07	15.50	20.00
that:IN	20.00	20.00	20.00	20.00	20.00	20.50	20.00
the:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.96	14.34	9.84	19.87
left:VBD	20.00	14.34	7.52	19.96	9.34	11.79	19.46
Baghdad:NNP	20.50	9.84	13.02	15.46	14.84	0.00	20.50
.:.	10.00	19.87	20.00	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -22.0669
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "been": neg; NullPunisher.aux: has; NullPunisher.other: not; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "knows"; Structure.argsMismatch: args have different parents but same relations: text "diplomat" <-nsubj-- "left vs. hyp "diplomat" <-nsubj-- "been", which aligned to text "knows" args have different parents, different relations: text "Baghdad" <-dobj-- "left" vs. hyp "Baghdad" <-prep_to-- "been", which aligned to text "knows"
Hand-tuned score: -10.0500
Threshold: -3.3437

Inference ID: 25

Txt: The president hasn't gone to Iraq since the diplomat left Baghdad.

Hyp: The diplomat has been to Baghdad. (Yes.)

	The DT	diplomat NN	has VBZ	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.50	10.00
president:NN	20.00	3.94	14.34	14.34	9.84	20.00
has:VBZ	20.00	14.34	0.00	9.34	13.02	20.00
n't:RB	20.00	14.17	19.96	19.96	15.46	17.90
gone:VBN	20.00	13.08	8.69	6.07	14.84	19.35
Iraq:NNP	20.50	9.84	13.02	14.84	2.00	20.50
since:IN	20.00	20.00	20.00	20.00	20.50	20.00
the:DT	0.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.34	9.84	19.87
left:VBD	20.00	14.34	7.52	9.34	11.79	19.46
Baghdad:NNP	20.50	9.84	13.02	14.84	0.00	20.50
.:.	10.00	19.87	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -10.0708
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.txtNegMarker: "gone": neg; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "gone"; Structure.argsMismatch: args have different parents but same relations: text "diplomat" <-nsubj-- "left vs. hyp "diplomat" <-nsubj-- "been", which aligned to text "gone" args have different parents, different relations: text "Baghdad" <-dobj-- "left" vs. hyp "Baghdad" <-prep_to-- "been", which aligned to text "gone"
Hand-tuned score: -9.0000
Threshold: -3.3437

Inference ID: -25

Txt: The president hasn't gone to Iraq since the diplomat left Baghdad.

Hyp: The diplomat has not been to Baghdad. (Don't know.)

	The DT	diplomat NN	has VBZ	not RB	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
president:NN	20.00	3.94	14.34	14.96	14.34	9.84	20.00
has:VBZ	20.00	14.34	0.00	19.96	9.34	13.02	20.00
n't:RB	20.00	14.17	19.96	0.50	19.96	15.46	17.90
gone:VBN	20.00	13.08	8.69	19.96	6.07	14.84	19.35
Iraq:NNP	20.50	9.84	13.02	15.46	14.84	2.00	20.50
since:IN	20.00	20.00	20.00	20.00	20.00	20.50	20.00
the:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.96	14.34	9.84	19.87
left:VBD	20.00	14.34	7.52	19.96	9.34	11.79	19.46
Baghdad:NNP	20.50	9.84	13.02	15.46	14.84	0.00	20.50
.:.	10.00	19.87	20.00	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -10.5708
Features matched: Adjunct.dropNegCxt: text adjunct "Iraq" of "gone" dropped on aligned hyp word "been"; Polarity.hypNegMarker: "been": neg; Polarity.txtNegMarker: "gone": neg; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "gone"; Structure.argsMismatch: args have different parents but same relations: text "diplomat" <-nsubj-- "left vs. hyp "diplomat" <-nsubj-- "been", which aligned to text "gone" args have different parents, different relations: text "Baghdad" <-dobj-- "left" vs. hyp "Baghdad" <-prep_to-- "been", which aligned to text "gone" ; Polarity.txtNegMarker&PolarityhypNegMarker:
Hand-tuned score: -7.0000
Threshold: -3.3437

Inference ID: 26

Txt: The president hasn't gone to Iraq since the diplomat left Baghdad.

Hyp: The president has been to Iraq. (Don't know.)

	The DT	president NN	has VBZ	been VBN	Iraq NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.50	10.00
president:NN	20.00	0.00	14.34	14.34	9.84	20.00
has:VBZ	20.00	14.34	0.00	9.34	13.02	20.00
n't:RB	20.00	14.96	19.96	19.96	15.46	17.90
gone:VBN	20.00	12.72	8.69	6.07	14.84	19.35
Iraq:NNP	20.50	9.84	13.02	14.84	0.00	20.50
since:IN	20.00	20.00	20.00	20.00	20.50	20.00
the:DT	0.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	3.94	14.34	14.34	9.84	19.87
left:VBD	20.00	13.35	7.52	9.34	12.61	19.46
Baghdad:NNP	20.50	9.84	13.02	14.84	2.00	20.50
.:.	10.00	20.00	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -6.0708
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.txtNegMarker: "gone": neg; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "gone"
Hand-tuned score: -6.0000
Threshold: -3.3437

Inference ID: -26

Txt: The president hasn't gone to Iraq since the diplomat left Baghdad.

Hyp: The president has not been to Iraq. (Don't know.)

	The DT	president NN	has VBZ	not RB	been VBN	Iraq NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
president:NN	20.00	0.00	14.34	14.96	14.34	9.84	20.00
has:VBZ	20.00	14.34	0.00	19.96	9.34	13.02	20.00
n't:RB	20.00	14.96	19.96	0.50	19.96	15.46	17.90
gone:VBN	20.00	12.72	8.69	19.96	6.07	14.84	19.35
Iraq:NNP	20.50	9.84	13.02	15.46	14.84	0.00	20.50
since:IN	20.00	20.00	20.00	20.00	20.00	20.50	20.00
the:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	3.94	14.34	14.96	14.34	9.84	19.87
left:VBD	20.00	13.35	7.52	19.96	9.34	12.61	19.46
Baghdad:NNP	20.50	9.84	13.02	15.46	14.84	2.00	20.50
.:.	10.00	20.00	20.00	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -6.5708
Features matched: Polarity.hypNegMarker: "been": neg; Polarity.txtNegMarker: "gone": neg; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "gone"; Polarity.txtNegMarker&PolarityhypNegMarker:
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: 27

Txt: The diplomat didn't manage to leave Baghdad.

Hyp: The diplomat has been to Baghdad. (Yes.)

	The DT	diplomat NN	has VBZ	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.34	9.84	19.87
did:VBD	20.00	15.00	7.53	6.07	15.50	17.99
n't:RB	20.00	14.17	19.96	19.96	15.46	17.90
manage:VB	20.00	15.00	10.00	8.07	15.50	19.98
to:TO	10.00	20.00	20.00	20.00	20.50	10.00
leave:VB	20.00	15.00	8.69	7.74	15.50	19.32
Baghdad:NNP	20.50	9.84	13.02	14.84	0.00	20.50
.:.	10.00	19.87	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -11.0669
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.txtNegMarker: "manage": neg; NullPunisher.aux: has; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "manage"; Structure.parentsMismatch: args have different parents, different relations: text "Baghdad" <-dobj-- "leave" vs. hyp "Baghdad" <-prep_to-- "been", which aligned to text "manage"
Hand-tuned score: -9.0500
Threshold: -3.3437

Inference ID: -27

Txt: The diplomat didn't manage to leave Baghdad.

Hyp: The diplomat has not been to Baghdad. (Don't know.)

	The DT	diplomat NN	has VBZ	not RB	been VBN	Baghdad NNP	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
diplomat:NN	20.00	0.00	14.34	14.96	14.34	9.84	19.87
did:VBD	20.00	15.00	7.53	19.96	6.07	15.50	17.99
n't:RB	20.00	14.17	19.96	0.50	19.96	15.46	17.90
manage:VB	20.00	15.00	10.00	19.96	8.07	15.50	19.98
to:TO	10.00	20.00	20.00	20.00	20.00	20.50	10.00
leave:VB	20.00	15.00	8.69	19.96	7.74	15.50	19.32
Baghdad:NNP	20.50	9.84	13.02	15.46	14.84	0.00	20.50
.:.	10.00	19.87	20.00	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.5669
Features matched: Polarity.hypNegMarker: "been": neg; Polarity.txtNegMarker: "manage": neg; NullPunisher.aux: has; RootEntailment.poorlyAlignedRoot: "been" aligned badly to "manage"; Structure.parentsMismatch: args have different parents, different relations: text "Baghdad" <-dobj-- "leave" vs. hyp "Baghdad" <-prep_to-- "been", which aligned to text "manage" ; Polarity.txtNegMarker&PolarityhypNegMarker:
Hand-tuned score: -4.0500
Threshold: -3.3437

Inference ID: 28

Txt: The diplomat hasn't managed to leave Baghdad.

Hyp: The diplomat is in Baghdad now. (Yes.)

	The DT	diplomat NN	is VBZ	Baghdad NNP	now RB	. .
The:DT	0.00	20.00	20.00	20.50	20.00	10.00
diplomat:NN	20.00	0.00	14.34	9.84	15.00	19.87
has:VBZ	20.00	14.34	8.64	13.02	18.69	20.00
n't:RB	20.00	14.17	19.96	15.46	9.96	17.90
managed:VBN	20.00	15.00	8.07	15.50	20.00	20.00
to:TO	10.00	20.00	20.00	20.50	20.00	10.00
leave:VB	20.00	15.00	7.74	15.50	18.69	19.32
Baghdad:NNP	20.50	9.84	14.84	0.00	15.50	20.50
.:.	10.00	19.87	20.00	20.50	20.00	0.00
NO_WORD	1.00	10.00	10.00	10.00	9.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -19.0669
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.txtNegMarker: "managed": neg; NullPunisher.other: now; RootEntailment.poorlyAlignedRoot: "is" aligned badly to "managed"; Structure.parentsMismatch: args have different parents, different relations: text "Baghdad" <-dobj-- "leave" vs. hyp "Baghdad" <-prep_in-- "is", which aligned to text "managed"
Hand-tuned score: -10.0000
Threshold: -3.3437

Inference ID: -28

Txt: The diplomat hasn't managed to leave Baghdad.

Hyp: The diplomat is not in Baghdad now. (Don't know.)

	The DT	diplomat NN	is VBZ	not RB	Baghdad NNP	now RB	. .
The:DT	0.00	20.00	20.00	20.00	20.50	20.00	10.00
diplomat:NN	20.00	0.00	14.34	14.96	9.84	15.00	19.87
has:VBZ	20.00	14.34	8.64	19.96	13.02	18.69	20.00
n't:RB	20.00	14.17	19.96	0.50	15.46	9.96	17.90
managed:VBN	20.00	15.00	8.07	19.96	15.50	20.00	20.00
to:TO	10.00	20.00	20.00	20.00	20.50	20.00	10.00
leave:VB	20.00	15.00	7.74	19.96	15.50	18.69	19.32
Baghdad:NNP	20.50	9.84	14.84	15.46	0.00	15.50	20.50
.:.	10.00	19.87	20.00	20.00	20.50	20.00	0.00
NO_WORD	1.00	10.00	10.00	9.00	10.00	9.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -19.5669
Features matched: Adjunct.addNegCxt: hyp added now[now-RB]; Polarity.hypNegMarker: "is": neg; Polarity.txtNegMarker: "managed": neg; NullPunisher.other: now; RootEntailment.poorlyAlignedRoot: "is" aligned badly to "managed"; Structure.parentsMismatch: args have different parents, different relations: text "Baghdad" <-dobj-- "leave" vs. hyp "Baghdad" <-prep_in-- "is", which aligned to text "managed" ; Polarity.txtNegMarker&PolarityhypNegMarker:
Hand-tuned score: -4.0000
Threshold: -3.3437

Inference ID: 29

Txt: The room was full of intelligent women.

Hyp: The room was full of women. (Yes.)

	The DT	room NN	was VBD	full JJ	women NNS	. .
The:DT	0.00	20.00	20.00	20.00	20.00	10.00
room:NN	20.00	0.00	14.34	10.93	8.13	19.15
was:VBD	20.00	14.34	0.00	12.00	14.34	20.00
full:JJ	20.00	10.93	12.00	0.00	11.15	17.26
intelligent:JJ	20.00	11.96	11.96	9.96	9.83	19.37
women:NNS	20.00	8.13	14.34	11.15	0.00	19.64
.:.	10.00	19.15	20.00	17.26	19.64	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "intelligent" of "women" dropped on aligned hyp word "women"; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 2.0000
Threshold: -3.3437

Inference ID: -29

Txt: The room was full of intelligent women.

Hyp: The room was not full of women. (Don't know.)

	The DT	room NN	was VBD	not RB	full JJ	women NNS	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.00	10.00
room:NN	20.00	0.00	14.34	14.96	10.93	8.13	19.15
was:VBD	20.00	14.34	0.00	19.96	12.00	14.34	20.00
full:JJ	20.00	10.93	12.00	11.96	0.00	11.15	17.26
intelligent:JJ	20.00	11.96	11.96	11.96	9.96	9.83	19.37
women:NNS	20.00	8.13	14.34	14.96	11.15	0.00	19.64
.:.	10.00	19.15	20.00	20.00	17.26	19.64	0.00
NO_WORD	1.00	10.00	1.00	9.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -9.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "full": neg; NullPunisher.other: not
Hand-tuned score: -5.0000
Threshold: -3.3437

Inference ID: 30

Txt: The room was full of women.

Hyp: The room was full of intelligent women. (Don't know.)

	The DT	room NN	was VBD	full JJ	intelligent JJ	women NNS	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.00	10.00
room:NN	20.00	0.00	14.34	10.93	11.96	8.13	19.15
was:VBD	20.00	14.34	0.00	12.00	11.96	14.34	20.00
full:JJ	20.00	10.93	12.00	0.00	9.96	11.15	17.26
women:NNS	20.00	8.13	14.34	11.15	9.83	0.00	19.64
.:.	10.00	19.15	20.00	17.26	19.37	19.64	0.00
NO_WORD	1.00	10.00	1.00	9.00	9.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -9.0000
Features matched: Adjunct.addPosCxt: hyp added intelligent[intelligent-JJ]; NullPunisher.other: intelligent
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: -30

Txt: The room was full of women.

Hyp: The room was not full of intelligent women. (Don't know.)

	The DT	room NN	was VBD	not RB	full JJ	intelligent JJ	women NNS	. .
The:DT	0.00	20.00	20.00	20.00	20.00	20.00	20.00	10.00
room:NN	20.00	0.00	14.34	14.96	10.93	11.96	8.13	19.15
was:VBD	20.00	14.34	0.00	19.96	12.00	11.96	14.34	20.00
full:JJ	20.00	10.93	12.00	11.96	0.00	9.96	11.15	17.26
women:NNS	20.00	8.13	14.34	14.96	11.15	9.83	0.00	19.64
.:.	10.00	19.15	20.00	20.00	17.26	19.37	19.64	0.00
NO_WORD	1.00	10.00	1.00	9.00	9.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -18.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "full": neg; NullPunisher.other: not; NullPunisher.other: intelligent
Hand-tuned score: -6.0000
Threshold: -3.3437

Inference ID: 31

Txt: Children are not admitted to the theatre.

Hyp: Small children are admitted to the theatre. (Don't know.)

	Small JJ	children NNS	are VBP	admitted VBN	the DT	theater NN	. .
Children:NNP	11.34	0.00	15.00	15.00	20.00	8.95	20.00
are:VBP	10.69	15.00	0.00	10.00	20.00	15.00	20.00
not:RB	11.96	14.96	19.96	19.96	20.00	14.96	20.00
admitted:VBN	12.00	12.85	10.00	0.00	20.00	15.00	19.33
the:DT	20.00	20.00	20.00	20.00	0.00	20.00	10.00
theater:NN	11.34	8.95	15.00	15.00	20.00	0.00	20.00
.:.	20.00	19.49	20.00	19.33	10.00	20.00	0.00
NO_WORD	9.00	10.00	1.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -9.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.txtNegMarker: "admitted": neg; NullPunisher.other: Small
Hand-tuned score: -5.0000
Threshold: -3.3437

Inference ID: -31

Txt: Children are not admitted to the theatre.

Hyp: Small children are not admitted to the theatre. (Yes.)

	Small JJ	children NNS	are VBP	not RB	admitted VBN	the DT	theater NN	. .
Children:NNP	11.34	0.00	15.00	14.96	15.00	20.00	8.95	20.00
are:VBP	10.69	15.00	0.00	19.96	10.00	20.00	15.00	20.00
not:RB	11.96	14.96	19.96	0.00	19.96	20.00	14.96	20.00
admitted:VBN	12.00	12.85	10.00	19.96	0.00	20.00	15.00	19.33
the:DT	20.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
theater:NN	11.34	8.95	15.00	14.96	15.00	20.00	0.00	20.00
.:.	20.00	19.49	20.00	20.00	19.33	10.00	20.00	0.00
NO_WORD	9.00	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -9.0000
Features matched: Adjunct.addNegCxt: hyp added Small[Small-JJ]; Polarity.hypNegMarker: "admitted": neg; Polarity.txtNegMarker: "admitted": neg; NullPunisher.other: Small; Polarity.txtNegMarker&PolarityhypNegMarker:
Hand-tuned score: 1.0000
Threshold: -3.3437

Inference ID: 32

Txt: Small children are not admitted to the theatre.

Hyp: Children are admitted to the theatre. (Don't know.)

	Children NNP	are VBP	admitted VBN	the DT	theater NN	. .
Small:JJ	11.34	10.69	12.00	20.00	11.34	20.00
children:NNS	0.00	15.00	12.85	20.00	8.95	19.49
are:VBP	15.00	0.00	10.00	20.00	15.00	20.00
not:RB	14.96	19.96	19.96	20.00	14.96	20.00
admitted:VBN	15.00	10.00	0.00	20.00	15.00	19.33
the:DT	20.00	20.00	20.00	0.00	20.00	10.00
theater:NN	8.95	15.00	15.00	20.00	0.00	20.00
.:.	20.00	20.00	19.33	10.00	20.00	0.00
NO_WORD	10.00	1.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.txtNegMarker: "admitted": neg
Hand-tuned score: -4.0000
Threshold: -3.3437

Inference ID: -32

Txt: Small children are not admitted to the theatre.

Hyp: Children are not admitted to the theatre. (Don't know.)

	Children NNP	are VBP	not RB	admitted VBN	the DT	theater NN	. .
Small:JJ	11.34	10.69	11.96	12.00	20.00	11.34	20.00
children:NNS	0.00	15.00	14.96	12.85	20.00	8.95	19.49
are:VBP	15.00	0.00	19.96	10.00	20.00	15.00	20.00
not:RB	14.96	19.96	0.00	19.96	20.00	14.96	20.00
admitted:VBN	15.00	10.00	19.96	0.00	20.00	15.00	19.33
the:DT	20.00	20.00	20.00	20.00	0.00	20.00	10.00
theater:NN	8.95	15.00	14.96	15.00	20.00	0.00	20.00
.:.	20.00	20.00	20.00	19.33	10.00	20.00	0.00
NO_WORD	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropNegCxt: text adjunct "Small" of "children" dropped on aligned hyp word "Children"; Polarity.hypNegMarker: "admitted": neg; Polarity.txtNegMarker: "admitted": neg; Polarity.txtNegMarker&PolarityhypNegMarker:
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: 33

Txt: All companies have to file annual reports.

Hyp: All Fortune 500 companies have to file annual reports. (Yes.)

	All DT	Fortune JJ	500 CD	companies NNS	have VBP	to TO	file VB	annual JJ	reports NNS	. .
All:DT	0.00	20.00	20.50	20.00	20.00	10.00	20.00	20.00	20.00	10.00
companies:NNS	20.00	9.44	19.02	0.00	12.80	20.00	13.13	10.11	7.80	19.68
have:VBP	20.00	12.00	20.50	12.80	0.00	20.00	7.02	10.11	12.80	20.00
to:TO	10.00	20.00	20.50	20.00	20.00	0.00	20.00	20.00	20.00	10.00
file:VB	20.00	12.00	19.19	13.13	7.02	20.00	0.00	10.03	12.37	20.00
annual:JJ	20.00	10.00	19.41	10.11	10.11	20.00	10.03	0.00	10.23	20.00
reports:NNS	20.00	12.00	19.19	7.80	12.80	20.00	12.37	10.23	0.00	19.70
.:.	10.00	20.00	19.65	19.68	20.00	10.00	20.00	20.00	19.70	0.00
NO_WORD	10.00	9.00	10.00	10.00	10.00	10.00	10.00	9.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -19.0000
Features matched: Adjunct.addAllCxt: all cxt -- hyp adds 500[500-CD];, hyp added 500[500-CD]; Modal.weakYes: necessary -> necessary; NullPunisher.other: 500; NullPunisher.other: Fortune; Quant.contract: [all,all]
Hand-tuned score: 4.0000
Threshold: -3.3437

Inference ID: -33

Txt: All companies have to file annual reports.

Hyp: Not all Fortune 500 companies have to file annual reports. (Don't know.)

	Not RB	all DT	Fortune JJ	500 CD	companies NNS	have VBP	to TO	file VB	annual JJ	reports NNS	. .
All:DT	20.00	0.00	20.00	20.50	20.00	20.00	10.00	20.00	20.00	20.00	10.00
companies:NNS	14.96	20.00	9.44	19.02	0.00	12.80	20.00	13.13	10.11	7.80	19.68
have:VBP	19.96	20.00	12.00	20.50	12.80	0.00	20.00	7.02	10.11	12.80	20.00
to:TO	20.00	10.00	20.00	20.50	20.00	20.00	0.00	20.00	20.00	20.00	10.00
file:VB	19.96	20.00	12.00	19.19	13.13	7.02	20.00	0.00	10.03	12.37	20.00
annual:JJ	11.96	20.00	10.00	19.41	10.11	10.11	20.00	10.03	0.00	10.23	20.00
reports:NNS	14.96	20.00	12.00	19.19	7.80	12.80	20.00	12.37	10.23	0.00	19.70
.:.	20.00	10.00	20.00	19.65	19.68	20.00	10.00	20.00	20.00	19.70	0.00
NO_WORD	9.00	10.00	9.00	10.00	10.00	10.00	10.00	10.00	9.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -28.0000
Features matched: Adjunct.addAllCxt: all cxt -- hyp adds 500[500-CD];, hyp added 500[500-CD]; Modal.weakYes: necessary -> necessary; NullPunisher.other: Fortune; NullPunisher.other: Not; NullPunisher.other: 500; Quant.contract: [all,all]
Hand-tuned score: 3.0000
Threshold: -3.3437

Inference ID: 34

Txt: All Fortune 500 companies have to file annual reports.

Hyp: All companies have to file annual reports. (Don't know.)

	All DT	companies NNS	have VBP	to TO	file VB	annual JJ	reports NNS	. .
All:DT	0.00	20.00	20.00	10.00	20.00	20.00	20.00	10.00
Fortune:JJ	20.00	9.44	12.00	20.00	12.00	10.00	12.00	20.00
500:CD	20.50	19.02	20.50	20.50	19.19	19.41	19.19	19.65
companies:NNS	20.00	0.00	12.80	20.00	13.13	10.11	7.80	19.68
have:VBP	20.00	12.80	0.00	20.00	7.02	10.11	12.80	20.00
to:TO	10.00	20.00	20.00	0.00	20.00	20.00	20.00	10.00
file:VB	20.00	13.13	7.02	20.00	0.00	10.03	12.37	20.00
annual:JJ	20.00	10.11	10.11	20.00	10.03	0.00	10.23	20.00
reports:NNS	20.00	7.80	12.80	20.00	12.37	10.23	0.00	19.70
.:.	10.00	19.68	20.00	10.00	20.00	20.00	19.70	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	9.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropAllCxt: all cxt -- hyp drops adjunct 500 of companies aligned to hyp companies, text adjunct "500" of "companies" dropped on aligned hyp word "companies"; Modal.weakYes: necessary -> necessary; Quant.contract: [all,all]
Hand-tuned score: 0.0000
Threshold: -3.3437

Inference ID: -34

Txt: All Fortune 500 companies have to file annual reports.

Hyp: Not all companies have to file annual reports. (Don't know.)

	Not RB	all DT	companies NNS	have VBP	to TO	file VB	annual JJ	reports NNS	. .
All:DT	20.00	0.00	20.00	20.00	10.00	20.00	20.00	20.00	10.00
Fortune:JJ	11.96	20.00	9.44	12.00	20.00	12.00	10.00	12.00	20.00
500:CD	20.46	20.50	19.02	20.50	20.50	19.19	19.41	19.19	19.65
companies:NNS	14.96	20.00	0.00	12.80	20.00	13.13	10.11	7.80	19.68
have:VBP	19.96	20.00	12.80	0.00	20.00	7.02	10.11	12.80	20.00
to:TO	20.00	10.00	20.00	20.00	0.00	20.00	20.00	20.00	10.00
file:VB	19.96	20.00	13.13	7.02	20.00	0.00	10.03	12.37	20.00
annual:JJ	11.96	20.00	10.11	10.11	20.00	10.03	0.00	10.23	20.00
reports:NNS	14.96	20.00	7.80	12.80	20.00	12.37	10.23	0.00	19.70
.:.	20.00	10.00	19.68	20.00	10.00	20.00	20.00	19.70	0.00
NO_WORD	9.00	10.00	10.00	10.00	10.00	10.00	9.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -9.0000
Features matched: Adjunct.dropAllCxt: all cxt -- hyp drops adjunct 500 of companies aligned to hyp companies, text adjunct "500" of "companies" dropped on aligned hyp word "companies", hyp added Not[Not-RB]; Modal.weakYes: necessary -> necessary; NullPunisher.other: Not; Quant.contract: [all,all]
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: 35

Txt: All companies have to file annual reports to the sec.

Hyp: All companies have to file annual reports. (Yes.)

	All DT	companies NNS	have VBP	to TO	file VB	annual JJ	reports NNS	. .
All:DT	0.00	20.00	20.00	10.00	20.00	20.00	20.00	10.00
companies:NNS	20.00	0.00	12.80	20.00	13.13	10.11	7.80	19.68
have:VBP	20.00	12.80	0.00	20.00	7.02	10.11	12.80	20.00
to:TO	10.00	20.00	20.00	0.00	20.00	20.00	20.00	10.00
file:VB	20.00	13.13	7.02	20.00	0.00	10.03	12.37	20.00
annual:JJ	20.00	10.11	10.11	20.00	10.03	0.00	10.23	20.00
reports:NNS	20.00	7.80	12.80	20.00	12.37	10.23	0.00	19.70
the:DT	10.00	20.00	20.00	10.00	20.00	20.00	20.00	10.00
sec:NN	20.00	6.69	15.00	20.00	12.11	12.00	7.76	19.27
.:.	10.00	19.68	20.00	10.00	20.00	20.00	19.70	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	9.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: 0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "sec" of "file" dropped on aligned hyp word "file"; Modal.weakYes: necessary -> necessary; Quant.contract: [all,all]; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 4.0000
Threshold: -3.3437

Inference ID: -35

Txt: All companies have to file annual reports to the sec.

Hyp: Not all companies have to file annual reports. (Don't know.)

	Not RB	all DT	companies NNS	have VBP	to TO	file VB	annual JJ	reports NNS	. .
All:DT	20.00	0.00	20.00	20.00	10.00	20.00	20.00	20.00	10.00
companies:NNS	14.96	20.00	0.00	12.80	20.00	13.13	10.11	7.80	19.68
have:VBP	19.96	20.00	12.80	0.00	20.00	7.02	10.11	12.80	20.00
to:TO	20.00	10.00	20.00	20.00	0.00	20.00	20.00	20.00	10.00
file:VB	19.96	20.00	13.13	7.02	20.00	0.00	10.03	12.37	20.00
annual:JJ	11.96	20.00	10.11	10.11	20.00	10.03	0.00	10.23	20.00
reports:NNS	14.96	20.00	7.80	12.80	20.00	12.37	10.23	0.00	19.70
the:DT	20.00	10.00	20.00	20.00	10.00	20.00	20.00	20.00	10.00
sec:NN	14.96	20.00	6.69	15.00	20.00	12.11	12.00	7.76	19.27
.:.	20.00	10.00	19.68	20.00	10.00	20.00	20.00	19.70	0.00
NO_WORD	9.00	10.00	10.00	10.00	10.00	10.00	9.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -9.0000
Features matched: Adjunct.addAllCxt: all cxt -- hyp adds Not[Not-RB];, text adjunct "sec" of "file" dropped on aligned hyp word "file", hyp added Not[Not-RB]; Modal.weakYes: necessary -> necessary; NullPunisher.other: Not; Quant.contract: [all,all]
Hand-tuned score: 5.0000
Threshold: -3.3437

Inference ID: 36

Txt: All companies have to file annual reports.

Hyp: All companies have to file annual reports to the sec. (Don't know.)

	All DT	companies NNS	have VBP	to TO	file VB	annual JJ	reports NNS	the DT	sec NN	. .
All:DT	0.00	20.00	20.00	10.00	20.00	20.00	20.00	10.00	20.00	10.00
companies:NNS	20.00	0.00	12.80	20.00	13.13	10.11	7.80	20.00	6.69	19.68
have:VBP	20.00	12.80	0.00	20.00	7.02	10.11	12.80	20.00	15.00	20.00
to:TO	10.00	20.00	20.00	0.00	20.00	20.00	20.00	10.00	20.00	10.00
file:VB	20.00	13.13	7.02	20.00	0.00	10.03	12.37	20.00	12.11	20.00
annual:JJ	20.00	10.11	10.11	20.00	10.03	0.00	10.23	20.00	12.00	20.00
reports:NNS	20.00	7.80	12.80	20.00	12.37	10.23	0.00	20.00	7.76	19.70
.:.	10.00	19.68	20.00	10.00	20.00	20.00	19.70	10.00	19.27	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	9.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -9.6929
Features matched: Modal.weakYes: necessary -> necessary; NullPunisher.article: the; Quant.contract: [all,all]; Quant.contract: [all,the]
Hand-tuned score: 3.9000
Threshold: -3.3437

Inference ID: -36

Txt: All companies have to file annual reports.

Hyp: Not all companies have to file annual reports to the sec. (Don't know.)

	Not RB	all DT	companies NNS	have VBP	to TO	file VB	annual JJ	reports NNS	the DT	sec NN	. .
All:DT	20.00	0.00	20.00	20.00	10.00	20.00	20.00	20.00	10.00	20.00	10.00
companies:NNS	14.96	20.00	0.00	12.80	20.00	13.13	10.11	7.80	20.00	6.69	19.68
have:VBP	19.96	20.00	12.80	0.00	20.00	7.02	10.11	12.80	20.00	15.00	20.00
to:TO	20.00	10.00	20.00	20.00	0.00	20.00	20.00	20.00	10.00	20.00	10.00
file:VB	19.96	20.00	13.13	7.02	20.00	0.00	10.03	12.37	20.00	12.11	20.00
annual:JJ	11.96	20.00	10.11	10.11	20.00	10.03	0.00	10.23	20.00	12.00	20.00
reports:NNS	14.96	20.00	7.80	12.80	20.00	12.37	10.23	0.00	20.00	7.76	19.70
.:.	20.00	10.00	19.68	20.00	10.00	20.00	20.00	19.70	10.00	19.27	0.00
NO_WORD	9.00	10.00	10.00	10.00	10.00	10.00	9.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -18.6929
Features matched: Adjunct.addAllCxt: all cxt -- hyp adds Not[Not-RB];, hyp added Not[Not-RB]; Modal.weakYes: necessary -> necessary; NullPunisher.article: the; NullPunisher.other: Not; Quant.contract: [all,all]; Quant.contract: [all,the]
Hand-tuned score: 5.9000
Threshold: -3.3437

Inference ID: 37

Txt: No delegates finished the report.

Hyp: Some delegates finished the report on time. (Don't know.)

	Some DT	delegates NNS	finished VBD	the DT	report NN	on_time IN	. .
No:DT	10.00	20.00	20.00	10.00	20.00	20.00	10.00
delegates:NNS	20.00	0.00	14.34	20.00	9.57	20.00	20.00
finished:VBD	20.00	14.34	0.00	20.00	11.89	20.00	18.93
the:DT	10.00	20.00	20.00	0.00	20.00	20.00	10.00
report:NN	20.00	9.57	11.89	20.00	0.00	20.00	19.87
.:.	10.00	20.00	18.93	10.00	19.87	20.00	0.00
NO_WORD	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -20.0000
Features matched: NullPunisher.other: Some; NullPunisher.other: on_time; Quant.oneNo: [no,some[
Hand-tuned score: -7.0000
Threshold: -3.3437

Inference ID: -37

Txt: No delegates finished the report.

Hyp: No delegates finish the report on time. (Yes.)

	No DT	delegates NNS	finish VBP	the DT	report NN	on_time IN	. .
No:DT	0.00	20.00	20.00	10.00	20.00	20.00	10.00
delegates:NNS	20.00	0.00	13.85	20.00	9.57	20.00	20.00
finished:VBD	20.00	14.34	0.50	20.00	11.89	20.00	18.93
the:DT	10.00	20.00	20.00	0.00	20.00	20.00	10.00
report:NN	20.00	9.57	11.89	20.00	0.00	20.00	19.87
.:.	10.00	20.00	18.26	10.00	19.87	20.00	0.00
NO_WORD	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -10.5000
Features matched: NullPunisher.other: on_time; Quant.bothNo: [no,no]
Hand-tuned score: 1.0000
Threshold: -3.3437

Inference ID: 38

Txt: The US troops stayed in Iraq although the war was over.

Hyp: The war was over. (Yes.)

	The DT	war NN	was VBD	over RP	. .
The:DT	0.00	20.00	20.00	10.00	10.00
US:NNP	20.50	10.50	11.83	20.50	20.50
troops:NNS	20.00	5.07	15.00	20.00	20.00
stayed:VBD	20.00	12.44	9.34	18.69	18.18
Iraq:NNP	20.50	10.50	11.83	20.50	20.50
although:IN	20.00	20.00	20.00	20.00	20.00
the:DT	0.00	20.00	20.00	10.00	10.00
war:NN	20.00	0.00	15.00	20.00	19.45
was:VBD	20.00	15.00	0.00	20.00	20.00
over:RP	10.00	20.00	20.00	0.00	10.00
.:.	10.00	19.45	20.00	10.00	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "stayed vs. hyp "." <-punct-- "over", which aligned to text "over"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: -38

Txt: The US troops stayed in Iraq although the war was over.

Hyp: The war was not over. (Don't know.)

	The DT	war NN	was VBD	not RB	over RP	. .
The:DT	0.00	20.00	20.00	20.00	10.00	10.00
US:NNP	20.50	10.50	11.83	15.46	20.50	20.50
troops:NNS	20.00	5.07	15.00	14.96	20.00	20.00
stayed:VBD	20.00	12.44	9.34	19.96	18.69	18.18
Iraq:NNP	20.50	10.50	11.83	15.46	20.50	20.50
although:IN	20.00	20.00	20.00	20.00	20.00	20.00
the:DT	0.00	20.00	20.00	20.00	10.00	10.00
war:NN	20.00	0.00	15.00	14.96	20.00	19.45
was:VBD	20.00	15.00	0.00	19.96	20.00	20.00
over:RP	10.00	20.00	20.00	19.96	0.00	10.00
.:.	10.00	19.45	20.00	20.00	10.00	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "over": neg; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "stayed vs. hyp "." <-punct-- "over", which aligned to text "over"
Hand-tuned score: -8.0000
Threshold: -3.3437

Inference ID: 39

Txt: Since it was cold, he closed the window.

Hyp: It was cold. (Yes.)

	It PRP	was VBD	cold JJ	. .
Since:IN	20.00	20.00	20.00	20.00
it:PRP	0.00	15.00	15.00	20.00
was:VBD	15.00	0.00	11.34	20.00
cold:JJ	15.00	11.34	0.00	19.61
,:,	20.00	20.00	20.00	5.73
he:PRP	10.00	15.00	15.00	20.00
closed:VBD	15.00	10.00	9.84	19.49
the:DT	20.00	20.00	20.00	10.00
window:NN	12.00	12.52	9.28	19.62
.:.	20.00	20.00	19.61	0.00
NO_WORD	10.00	1.00	9.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "closed vs. hyp "." <-punct-- "cold", which aligned to text "cold"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: -39

Txt: Since it was cold, he closed the window.

Hyp: It was not cold. (Don't know.)

	It PRP	was VBD	not RB	cold JJ	. .
Since:IN	20.00	20.00	20.00	20.00	20.00
it:PRP	0.00	15.00	20.00	15.00	20.00
was:VBD	15.00	0.00	19.96	11.34	20.00
cold:JJ	15.00	11.34	11.96	0.00	19.61
,:,	20.00	20.00	20.00	20.00	5.73
he:PRP	10.00	15.00	20.00	15.00	20.00
closed:VBD	15.00	10.00	19.96	9.84	19.49
the:DT	20.00	20.00	20.00	20.00	10.00
window:NN	12.00	12.52	14.96	9.28	19.62
.:.	20.00	20.00	20.00	19.61	0.00
NO_WORD	10.00	1.00	9.00	9.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "cold": neg; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "closed vs. hyp "." <-punct-- "cold", which aligned to text "cold"
Hand-tuned score: -8.0000
Threshold: -3.3437

Inference ID: 40

Txt: John didn't visit us after he returned from Spain.

Hyp: John returned from Spain. (Yes.)

	John NNP	returned VBD	Spain NNP	. .
John:NNP	0.00	12.27	14.34	20.50
did:VBD	13.35	6.77	15.50	17.99
n't:RB	15.46	19.96	15.46	17.90
visit:VB	15.50	7.10	15.50	20.00
us:PRP	12.50	15.00	12.50	20.00
after:IN	20.50	20.00	20.50	20.00
he:PRP	12.50	15.00	12.50	20.00
returned:VBD	12.27	0.00	14.84	19.41
Spain:NNP	14.34	14.84	0.00	20.50
.:.	20.50	19.41	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -4.0000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "visit vs. hyp "John" <-nsubj-- "returned", which aligned to text "returned" args have different parents but same relations: text "." <-punct-- "visit vs. hyp "." <-punct-- "returned", which aligned to text "returned"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: -40

Txt: John didn't visit us after he returned from Spain.

Hyp: John did not return from Spain. (Don't know.)

	John NNP	did VBD	not RB	return VB	Spain NNP	. .
John:NNP	0.00	13.35	15.46	12.27	14.34	20.50
did:VBD	13.35	0.00	19.96	5.85	15.50	17.99
n't:RB	15.46	13.27	0.50	17.74	15.46	17.90
visit:VB	15.50	7.62	19.96	7.10	15.50	20.00
us:PRP	12.50	15.00	20.00	15.00	12.50	20.00
after:IN	20.50	20.00	20.00	20.00	20.50	20.00
he:PRP	12.50	15.00	20.00	15.00	12.50	20.00
returned:VBD	12.27	6.77	19.96	0.31	14.84	19.41
Spain:NNP	14.34	15.50	15.46	14.84	0.00	20.50
.:.	20.50	17.99	20.00	19.01	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -7.8094
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "return": neg; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "visit vs. hyp "John" <-nsubj-- "return", which aligned to text "returned" args have different parents but same relations: text "n't" <-neg-- "visit vs. hyp "not" <-neg-- "return", which aligned to text "returned" args have different parents but same relations: text "." <-punct-- "visit vs. hyp "." <-punct-- "return", which aligned to text "returned"
Hand-tuned score: -7.0500
Threshold: -3.3437

Inference ID: 41

Txt: Hanssen, who sold FBI secrets to the Russians, could face the death penalty.

Hyp: Hanssen sold FBI secrets to the Russians. (Yes.)

	Hanssen NNP	sold VBD	FBI NNP	secrets NNS	the DT	Russians NNPS	. .
Hanssen:NNP	0.00	15.46	14.96	10.46	20.50	14.96	20.50
,:,	20.50	19.81	20.50	20.00	10.00	20.50	5.73
who:WP	12.50	15.00	12.50	12.00	20.00	12.50	20.00
sold:VBD	15.46	0.00	15.50	13.55	20.00	15.50	19.42
FBI:NNP	14.96	15.50	0.00	10.50	20.50	15.00	20.50
secrets:NNS	10.46	13.55	10.50	0.00	20.00	8.35	20.00
the:DT	20.50	20.00	20.50	20.00	0.00	20.50	10.00
Russians:NNPS	14.96	15.50	15.00	8.35	20.50	0.00	20.50
,:,	20.50	19.81	20.50	20.00	10.00	20.50	5.73
could:MD	20.46	19.96	20.46	19.96	10.00	20.46	10.00
face:VB	15.46	8.07	15.50	12.44	20.00	13.35	17.99
the:DT	20.50	20.00	20.50	20.00	0.00	20.50	10.00
death_penalty:NN	10.46	12.10	10.50	8.72	20.00	9.84	20.00
.:.	20.50	19.42	20.50	20.00	10.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "Hanssen" <-nsubj-- "face vs. hyp "Hanssen" <-nsubj-- "sold", which aligned to text "sold" args have different parents but same relations: text "." <-punct-- "face vs. hyp "." <-punct-- "sold", which aligned to text "sold"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: -41

Txt: Hanssen, who sold FBI secrets to the Russians, could face the death penalty.

Hyp: Hanssen did not sell FBI secrets to the Russians. (Don't know.)

	Hanssen NNP	did VBD	not RB	sell VB	FBI NNP	secrets NNS	the DT	Russians NNPS	. .
Hanssen:NNP	0.00	15.46	15.46	15.46	14.96	10.46	20.50	14.96	20.50
,:,	20.50	19.80	20.00	19.98	20.50	20.00	10.00	20.50	5.73
who:WP	12.50	15.00	20.00	15.00	12.50	12.00	20.00	12.50	20.00
sold:VBD	15.46	7.69	19.96	0.50	15.50	13.55	20.00	15.50	19.42
FBI:NNP	14.96	15.50	15.46	15.50	0.00	10.50	20.50	15.00	20.50
secrets:NNS	10.46	12.85	14.96	14.18	10.50	0.00	20.00	8.35	20.00
the:DT	20.50	20.00	20.00	20.00	20.50	20.00	0.00	20.50	10.00
Russians:NNPS	14.96	13.35	15.46	15.50	15.00	8.35	20.50	0.00	20.50
,:,	20.50	19.80	20.00	19.98	20.50	20.00	10.00	20.50	5.73
could:MD	20.46	17.84	19.96	19.96	20.46	19.96	10.00	20.46	10.00
face:VB	15.46	4.55	19.96	8.07	15.50	12.44	20.00	13.35	17.99
the:DT	20.50	20.00	20.00	20.00	20.50	20.00	0.00	20.50	10.00
death_penalty:NN	10.46	12.69	14.96	12.10	10.50	8.72	20.00	9.84	20.00
.:.	20.50	17.99	20.00	19.05	20.50	20.00	10.00	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -12.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "sell": neg; NullPunisher.aux: did; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "Hanssen" <-nsubj-- "face vs. hyp "Hanssen" <-nsubj-- "sell", which aligned to text "sold" args have different parents but same relations: text "." <-punct-- "face vs. hyp "." <-punct-- "sell", which aligned to text "sold"
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 42

Txt: The New York Times reported that Hanssen, who sold fbi secrets to the Russians, could face the death penalty.

Hyp: Hanssen sold fbi secrets to the Russians. (Yes.)

	Hanssen NNP	sold VBD	fbi NN	secrets NNS	the DT	Russians NNPS	. .
The:DT	20.50	20.00	20.00	20.00	0.00	20.50	10.00
New_York_Times:NNPS	14.96	14.68	9.41	9.84	20.50	14.34	20.50
reported:VBD	15.46	7.69	12.96	11.05	20.00	13.35	19.71
that:IN	20.50	20.00	20.00	20.00	20.00	20.50	20.00
Hanssen:NNP	0.00	15.46	10.46	10.46	20.50	14.96	20.50
,:,	20.50	19.81	20.00	20.00	10.00	20.50	5.73
who:WP	12.50	15.00	12.00	12.00	20.00	12.50	20.00
sold:VBD	15.46	0.00	14.77	13.55	20.00	15.50	19.42
fbi:NN	10.46	14.77	0.00	7.33	20.00	10.50	19.70
secrets:NNS	10.46	13.55	7.33	0.00	20.00	8.35	20.00
the:DT	20.50	20.00	20.00	20.00	0.00	20.50	10.00
Russians:NNPS	14.96	15.50	10.50	8.35	20.50	0.00	20.50
,:,	20.50	19.81	20.00	20.00	10.00	20.50	5.73
could:MD	20.46	19.96	19.96	19.96	10.00	20.46	10.00
face:VB	15.46	8.07	15.00	12.44	20.00	13.35	17.99
the:DT	20.50	20.00	20.00	20.00	0.00	20.50	10.00
death_penalty:NN	10.46	12.10	10.00	8.72	20.00	9.84	20.00
.:.	20.50	19.42	19.70	20.00	10.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "Hanssen" <-nsubj-- "face vs. hyp "Hanssen" <-nsubj-- "sold", which aligned to text "sold" args have different parents but same relations: text "." <-punct-- "reported vs. hyp "." <-punct-- "sold", which aligned to text "sold"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: -42

Txt: The New York Times reported that Hanssen, who sold fbi secrets to the Russians, could face the death penalty.

Hyp: Hanssen did not sell fbi secrets to the Russians. (Don't know.)

	Hanssen NNP	did VBD	not RB	sell VB	fbi NN	secrets NNS	the DT	Russians NNPS	. .
The:DT	20.50	20.00	20.00	20.00	20.00	20.00	0.00	20.50	10.00
New_York_Times:NNPS	14.96	14.84	15.46	14.68	9.41	9.84	20.50	14.34	20.50
reported:VBD	15.46	7.69	19.96	7.69	12.96	11.05	20.00	13.35	19.71
that:IN	20.50	20.00	20.00	20.00	20.00	20.00	20.00	20.50	20.00
Hanssen:NNP	0.00	15.46	15.46	15.46	10.46	10.46	20.50	14.96	20.50
,:,	20.50	19.80	20.00	19.98	20.00	20.00	10.00	20.50	5.73
who:WP	12.50	15.00	20.00	15.00	12.00	12.00	20.00	12.50	20.00
sold:VBD	15.46	7.69	19.96	0.50	14.77	13.55	20.00	15.50	19.42
fbi:NN	10.46	13.20	14.96	15.00	0.00	7.33	20.00	10.50	19.70
secrets:NNS	10.46	12.85	14.96	14.18	7.33	0.00	20.00	8.35	20.00
the:DT	20.50	20.00	20.00	20.00	20.00	20.00	0.00	20.50	10.00
Russians:NNPS	14.96	13.35	15.46	15.50	10.50	8.35	20.50	0.00	20.50
,:,	20.50	19.80	20.00	19.98	20.00	20.00	10.00	20.50	5.73
could:MD	20.46	17.84	19.96	19.96	19.96	19.96	10.00	20.46	10.00
face:VB	15.46	4.55	19.96	8.07	15.00	12.44	20.00	13.35	17.99
the:DT	20.50	20.00	20.00	20.00	20.00	20.00	0.00	20.50	10.00
death_penalty:NN	10.46	12.69	14.96	12.10	10.00	8.72	20.00	9.84	20.00
.:.	20.50	17.99	20.00	19.05	19.70	20.00	10.00	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -12.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "sell": neg; NullPunisher.other: not; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "Hanssen" <-nsubj-- "face vs. hyp "Hanssen" <-nsubj-- "sell", which aligned to text "sold" args have different parents but same relations: text "." <-punct-- "reported vs. hyp "." <-punct-- "sell", which aligned to text "sold"
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 43

Txt: The New York Times reported that Hanssen sold fbi secrets to the Russians and could face the death penalty.

Hyp: Hanssen sold fbi secrets to the Russians. (Don't know.)

	Hanssen NNP	sold VBD	fbi NN	secrets NNS	the DT	Russians NNPS	. .
The:DT	20.50	20.00	20.00	20.00	0.00	20.50	10.00
New_York_Times:NNPS	14.96	14.68	9.41	9.84	20.50	14.34	20.50
reported:VBD	15.46	7.69	12.96	11.05	20.00	13.35	19.71
that:IN	20.50	20.00	20.00	20.00	20.00	20.50	20.00
Hanssen:NNP	0.00	15.46	10.46	10.46	20.50	14.96	20.50
sold:VBD	15.46	0.00	14.77	13.55	20.00	15.50	19.42
fbi:NN	10.46	14.77	0.00	7.33	20.00	10.50	19.70
secrets:NNS	10.46	13.55	7.33	0.00	20.00	8.35	20.00
the:DT	20.50	20.00	20.00	20.00	0.00	20.50	10.00
Russians:NNPS	14.96	15.50	10.50	8.35	20.50	0.00	20.50
could:MD	20.46	19.96	19.96	19.96	10.00	20.46	10.00
face:VB	15.46	8.07	15.00	12.44	20.00	13.35	17.99
the:DT	20.50	20.00	20.00	20.00	0.00	20.50	10.00
death_penalty:NN	10.46	12.10	10.00	8.72	20.00	9.84	20.00
.:.	20.50	19.42	19.70	20.00	10.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.unknownPassage: non factive text -- unknown: reported-VBD; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "reported vs. hyp "." <-punct-- "sold", which aligned to text "sold"
Hand-tuned score: -1.5000
Threshold: -3.3437

Inference ID: -43

Txt: The New York Times reported that Hanssen sold fbi secrets to the Russians and could face the death penalty.

Hyp: Hanssen did not sell fbi secrets to the Russians. (Don't know.)

	Hanssen NNP	did VBD	not RB	sell VB	fbi NN	secrets NNS	the DT	Russians NNPS	. .
The:DT	20.50	20.00	20.00	20.00	20.00	20.00	0.00	20.50	10.00
New_York_Times:NNPS	14.96	14.84	15.46	14.68	9.41	9.84	20.50	14.34	20.50
reported:VBD	15.46	7.69	19.96	7.69	12.96	11.05	20.00	13.35	19.71
that:IN	20.50	20.00	20.00	20.00	20.00	20.00	20.00	20.50	20.00
Hanssen:NNP	0.00	15.46	15.46	15.46	10.46	10.46	20.50	14.96	20.50
sold:VBD	15.46	7.69	19.96	0.50	14.77	13.55	20.00	15.50	19.42
fbi:NN	10.46	13.20	14.96	15.00	0.00	7.33	20.00	10.50	19.70
secrets:NNS	10.46	12.85	14.96	14.18	7.33	0.00	20.00	8.35	20.00
the:DT	20.50	20.00	20.00	20.00	20.00	20.00	0.00	20.50	10.00
Russians:NNPS	14.96	13.35	15.46	15.50	10.50	8.35	20.50	0.00	20.50
could:MD	20.46	17.84	19.96	19.96	19.96	19.96	10.00	20.46	10.00
face:VB	15.46	4.55	19.96	8.07	15.00	12.44	20.00	13.35	17.99
the:DT	20.50	20.00	20.00	20.00	20.00	20.00	0.00	20.50	10.00
death_penalty:NN	10.46	12.69	14.96	12.10	10.00	8.72	20.00	9.84	20.00
.:.	20.50	17.99	20.00	19.05	19.70	20.00	10.00	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -12.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.unknownPassage: non factive text -- unknown: reported-VBD; Polarity.hypNegMarker: "sell": neg; NullPunisher.other: not; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "reported vs. hyp "." <-punct-- "sell", which aligned to text "sold"
Hand-tuned score: -7.5500
Threshold: -3.3437

Inference ID: 44

Txt: Bush said that it was Khan who sold centrifuges to North Korea.

Hyp: Centrifuges were sold to North Korea. (Yes.)

	Centrifuges NNS	were VBD	sold VBN	North_Korea NNP	. .
Bush:NNP	9.45	14.84	12.74	12.11	20.50
said:VBD	15.00	6.24	7.80	15.50	18.58
that:IN	20.00	20.00	20.00	20.50	20.00
it:PRP	12.00	15.00	15.00	12.50	20.00
was:VBD	14.34	0.50	10.00	11.83	20.00
Khan:NNP	8.53	14.84	15.50	14.02	20.50
who:WP	12.00	15.00	15.00	12.50	20.00
sold:VBD	15.00	7.80	0.00	15.50	19.42
centrifuges:NNS	0.00	14.34	14.23	9.84	19.93
North_Korea:NNP	9.84	14.84	15.50	0.00	20.50
.:.	20.00	20.00	19.42	20.50	0.00
NO_WORD	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -3.0000
Features matched: NullPunisher.aux: were; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "said vs. hyp "." <-punct-- "sold", which aligned to text "sold"
Hand-tuned score: -2.0500
Threshold: -3.3437

Inference ID: -44

Txt: Bush said that it was Khan who sold centrifuges to North Korea.

Hyp: Centrifuges were not sold to North Korea. (Don't know.)

	Centrifuges NNS	were VBD	not RB	sold VBN	North_Korea NNP	. .
Bush:NNP	9.45	14.84	15.46	12.74	12.11	20.50
said:VBD	15.00	6.24	19.96	7.80	15.50	18.58
that:IN	20.00	20.00	20.00	20.00	20.50	20.00
it:PRP	12.00	15.00	20.00	15.00	12.50	20.00
was:VBD	14.34	0.50	19.96	10.00	11.83	20.00
Khan:NNP	8.53	14.84	15.46	15.50	14.02	20.50
who:WP	12.00	15.00	20.00	15.00	12.50	20.00
sold:VBD	15.00	7.80	19.96	0.00	15.50	19.42
centrifuges:NNS	0.00	14.34	14.96	14.23	9.84	19.93
North_Korea:NNP	9.84	14.84	15.46	15.50	0.00	20.50
.:.	20.00	20.00	20.00	19.42	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -12.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "sold": neg; NullPunisher.aux: were; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "said vs. hyp "." <-punct-- "sold", which aligned to text "sold"
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 45

Txt: Bush said that Khan sold centrifuges to North Korea.

Hyp: Centrifuges were sold to North Korea. (Don't know.)

	Centrifuges NNS	were VBD	sold VBN	North_Korea NNP	. .
Bush:NNP	9.45	14.84	12.74	12.11	20.50
said:VBD	15.00	6.24	7.80	15.50	18.58
that:IN	20.00	20.00	20.00	20.50	20.00
Khan:NNP	8.53	14.84	15.50	14.02	20.50
sold:VBD	15.00	7.80	0.00	15.50	19.42
centrifuges:NNS	0.00	14.34	14.23	9.84	19.93
North_Korea:NNP	9.84	14.84	15.50	0.00	20.50
.:.	20.00	20.00	19.42	20.50	0.00
NO_WORD	10.00	1.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -3.0000
Features matched: Factive.unknownPassage: non factive text -- unknown: said-VBD; NullPunisher.aux: were; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "said vs. hyp "." <-punct-- "sold", which aligned to text "sold"
Hand-tuned score: -1.5500
Threshold: -3.3437

Inference ID: -45

Txt: Bush said that Khan sold centrifuges to North Korea.

Hyp: Centrifuges were not sold to North Korea. (Don't know.)

	Centrifuges NNS	were VBD	not RB	sold VBN	North_Korea NNP	. .
Bush:NNP	9.45	14.84	15.46	12.74	12.11	20.50
said:VBD	15.00	6.24	19.96	7.80	15.50	18.58
that:IN	20.00	20.00	20.00	20.00	20.50	20.00
Khan:NNP	8.53	14.84	15.46	15.50	14.02	20.50
sold:VBD	15.00	7.80	19.96	0.00	15.50	19.42
centrifuges:NNS	0.00	14.34	14.96	14.23	9.84	19.93
North_Korea:NNP	9.84	14.84	15.46	15.50	0.00	20.50
.:.	20.00	20.00	20.00	19.42	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -12.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.unknownPassage: non factive text -- unknown: said-VBD; Polarity.hypNegMarker: "sold": neg; NullPunisher.aux: were; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "said vs. hyp "." <-punct-- "sold", which aligned to text "sold"
Hand-tuned score: -7.5500
Threshold: -3.3437

Inference ID: 46

Txt: What we found in Iraq was rusted shrapnel.

Hyp: We found something in Iraq. (Yes.)

	We PRP	found VBD	something NN	Iraq NNP	. .
What:WP	10.00	15.00	12.00	12.50	20.00
we:PRP	0.00	15.00	12.00	12.50	20.00
found:VBD	15.00	0.00	15.00	15.50	19.57
Iraq:NNP	12.50	15.50	9.84	0.00	20.50
was:VBD	15.00	10.00	14.34	11.83	20.00
rusted:VBN	15.00	9.02	14.34	14.84	20.00
shrapnel:JJ	15.00	8.64	11.34	11.84	20.00
.:.	20.00	19.57	20.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -12.0000
Features matched: NullPunisher.other: something; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "rusted vs. hyp "." <-punct-- "found", which aligned to text "found"
Hand-tuned score: -3.0000
Threshold: -3.3437

Inference ID: -46

Txt: What we found in Iraq was rusted shrapnel.

Hyp: We found nothing in Iraq. (Don't know.)

	We PRP	found VBD	nothing NN	Iraq NNP	. .
What:WP	10.00	15.00	12.00	12.50	20.00
we:PRP	0.00	15.00	12.00	12.50	20.00
found:VBD	15.00	0.00	15.00	15.50	19.57
Iraq:NNP	12.50	15.50	9.84	0.00	20.50
was:VBD	15.00	10.00	14.34	11.83	20.00
rusted:VBN	15.00	9.02	14.34	14.84	20.00
shrapnel:JJ	15.00	8.64	11.34	11.84	20.00
.:.	20.00	19.57	20.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -12.0000
Features matched: NullPunisher.other: nothing; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "rusted vs. hyp "." <-punct-- "found", which aligned to text "found"
Hand-tuned score: -3.0000
Threshold: -3.3437

Inference ID: 47

Txt: The fact that Bin Laden was in Tora Bora lead to the suspicion that the Afghan campaign was mismanaged.

Hyp: Bin Laden was in Tora Bora. (Yes.)

	Bin_Laden NNP	was VBD	Tora_Bora NNP	. .
The:DT	20.50	20.00	20.50	10.00
fact:NN	9.42	15.00	10.46	17.53
that:IN	20.50	20.00	20.50	20.00
Bin_Laden:NNP	0.00	14.84	14.96	20.50
was:VBD	14.84	0.00	15.46	20.00
Tora_Bora:NNP	14.96	15.46	0.00	20.50
lead:VBP	13.55	7.52	15.46	19.02
the:DT	20.50	20.00	20.50	10.00
suspicion:NN	9.84	15.00	10.46	19.99
that:IN	20.50	20.00	20.50	20.00
the:DT	20.50	20.00	20.50	10.00
Afghan:JJ	15.05	11.84	16.96	20.50
campaign:NN	10.50	15.00	10.46	19.85
was:VBD	14.84	0.00	15.46	20.00
mismanaged:VBN	15.50	10.00	15.46	20.00
.:.	20.50	20.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.factivePassage: factive entails : fact-NN; Location.mismatch: no clear info of matching: be(X, prep_in); Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "lead vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -3.0000
Threshold: -3.3437

Inference ID: -47

Txt: The fact that Bin Laden was in Tora Bora lead to the suspicion that the Afghan campaign was mismanaged.

Hyp: Bin Laden was not in Tora Bora. (Don't know.)

	Bin_Laden NNP	was VBD	not RB	Tora_Bora NNP	. .
The:DT	20.50	20.00	20.00	20.50	10.00
fact:NN	9.42	15.00	14.96	10.46	17.53
that:IN	20.50	20.00	20.00	20.50	20.00
Bin_Laden:NNP	0.00	14.84	15.46	14.96	20.50
was:VBD	14.84	0.00	19.96	15.46	20.00
Tora_Bora:NNP	14.96	15.46	15.46	0.00	20.50
lead:VBP	13.55	7.52	19.96	15.46	19.02
the:DT	20.50	20.00	20.00	20.50	10.00
suspicion:NN	9.84	15.00	14.96	10.46	19.99
that:IN	20.50	20.00	20.00	20.50	20.00
the:DT	20.50	20.00	20.00	20.50	10.00
Afghan:JJ	15.05	11.84	12.46	16.96	20.50
campaign:NN	10.50	15.00	14.96	10.46	19.85
was:VBD	14.84	0.00	19.96	15.46	20.00
mismanaged:VBN	15.50	10.00	19.96	15.46	20.00
.:.	20.50	20.00	20.00	20.50	0.00
NO_WORD	10.00	10.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.factivePassage: factive entails : fact-NN; Polarity.hypNegMarker: "was": neg; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "lead vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -7.0000
Threshold: -3.3437

Inference ID: 48

Txt: The fact that Bin Laden was in Tora Bora lead to the suspicion that the Afghan campaign was mismanaged.

Hyp: The Afghan campaign was mismanaged. (Don't know.)

	The DT	Afghan JJ	campaign NN	was VBD	mismanaged VBN	. .
The:DT	0.00	20.50	20.00	20.00	20.00	10.00
fact:NN	20.00	10.35	8.94	15.00	14.66	17.53
that:IN	20.00	20.50	20.00	20.00	20.00	20.00
Bin_Laden:NNP	20.50	15.05	10.50	14.84	15.50	20.50
was:VBD	20.00	11.84	15.00	0.00	10.00	20.00
Tora_Bora:NNP	20.50	16.96	10.46	15.46	15.46	20.50
lead:VBP	20.00	10.35	12.72	7.52	6.73	19.02
the:DT	0.00	20.50	20.00	20.00	20.00	10.00
suspicion:NN	20.00	11.19	8.40	15.00	12.80	19.99
that:IN	20.00	20.50	20.00	20.00	20.00	20.00
the:DT	0.00	20.50	20.00	20.00	20.00	10.00
Afghan:JJ	20.50	0.00	12.50	11.84	12.50	20.50
campaign:NN	20.00	12.50	0.00	15.00	14.12	19.85
was:VBD	20.00	11.84	15.00	0.00	10.00	20.00
mismanaged:VBN	20.00	12.50	14.12	10.00	0.00	20.00
.:.	10.00	20.50	19.85	20.00	20.00	0.00
NO_WORD	1.00	9.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.inPositiveEmbedding: embedded positive text; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "lead vs. hyp "." <-punct-- "mismanaged", which aligned to text "mismanaged"
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: -48

Txt: The fact that Bin Laden was in Tora Bora lead to the suspicion that the Afghan campaign was mismanaged.

Hyp: The Afghan campaign was not mismanaged. (Don't know.)

	The DT	Afghan JJ	campaign NN	was VBD	not RB	mismanaged VBN	. .
The:DT	0.00	20.50	20.00	20.00	20.00	20.00	10.00
fact:NN	20.00	10.35	8.94	15.00	14.96	14.66	17.53
that:IN	20.00	20.50	20.00	20.00	20.00	20.00	20.00
Bin_Laden:NNP	20.50	15.05	10.50	14.84	15.46	15.50	20.50
was:VBD	20.00	11.84	15.00	0.00	19.96	10.00	20.00
Tora_Bora:NNP	20.50	16.96	10.46	15.46	15.46	15.46	20.50
lead:VBP	20.00	10.35	12.72	7.52	19.96	6.73	19.02
the:DT	0.00	20.50	20.00	20.00	20.00	20.00	10.00
suspicion:NN	20.00	11.19	8.40	15.00	14.96	12.80	19.99
that:IN	20.00	20.50	20.00	20.00	20.00	20.00	20.00
the:DT	0.00	20.50	20.00	20.00	20.00	20.00	10.00
Afghan:JJ	20.50	0.00	12.50	11.84	12.46	12.50	20.50
campaign:NN	20.00	12.50	0.00	15.00	14.96	14.12	19.85
was:VBD	20.00	11.84	15.00	0.00	19.96	10.00	20.00
mismanaged:VBN	20.00	12.50	14.12	10.00	19.96	0.00	20.00
.:.	10.00	20.50	19.85	20.00	20.00	20.00	0.00
NO_WORD	1.00	9.00	10.00	1.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.inPositiveEmbedding: embedded positive text; Polarity.hypNegMarker: "mismanaged": neg; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "lead vs. hyp "." <-punct-- "mismanaged", which aligned to text "mismanaged"
Hand-tuned score: -7.0000
Threshold: -3.3437

Inference ID: 49

Txt: The paper concluded that the election had been rigged.

Hyp: The election was rigged. (Don't know.)

	The DT	election NN	was VBD	rigged VBN	. .
The:DT	0.00	20.00	20.00	20.00	10.00
paper:NN	20.00	8.35	14.34	12.12	18.64
concluded:VBD	20.00	15.00	10.00	10.00	19.24
that:IN	20.00	20.00	20.00	20.00	20.00
the:DT	0.00	20.00	20.00	20.00	10.00
election:NN	20.00	0.00	15.00	11.41	20.00
had:VBD	20.00	15.00	9.34	5.73	20.00
been:VBN	20.00	15.00	0.50	7.80	20.00
rigged:VBN	20.00	11.41	9.34	0.00	20.00
.:.	10.00	20.00	20.00	20.00	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.5000
Features matched: Factive.unknownPassage: non factive text -- unknown: concluded-VBD; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "concluded vs. hyp "." <-punct-- "rigged", which aligned to text "rigged"
Hand-tuned score: -1.5000
Threshold: -3.3437

Inference ID: -49

Txt: The paper concluded that the election had been rigged.

Hyp: The election was not rigged. (Don't know.)

	The DT	election NN	was VBD	not RB	rigged VBN	. .
The:DT	0.00	20.00	20.00	20.00	20.00	10.00
paper:NN	20.00	8.35	14.34	14.96	12.12	18.64
concluded:VBD	20.00	15.00	10.00	19.96	10.00	19.24
that:IN	20.00	20.00	20.00	20.00	20.00	20.00
the:DT	0.00	20.00	20.00	20.00	20.00	10.00
election:NN	20.00	0.00	15.00	14.96	11.41	20.00
had:VBD	20.00	15.00	9.34	19.96	5.73	20.00
been:VBN	20.00	15.00	0.50	19.96	7.80	20.00
rigged:VBN	20.00	11.41	9.34	19.96	0.00	20.00
.:.	10.00	20.00	20.00	20.00	20.00	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.unknownPassage: non factive text -- unknown: concluded-VBD; Polarity.hypNegMarker: "rigged": neg; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "concluded vs. hyp "." <-punct-- "rigged", which aligned to text "rigged"
Hand-tuned score: -7.5000
Threshold: -3.3437

Inference ID: 50

Txt: Ames was, as the press reported, a successful spy.

Hyp: Ames was a successful spy. (Yes.)

	Ames NNP	was VBD	a DT	successful JJ	spy NN	. .
Ames:NNP	0.00	15.46	20.50	12.46	10.46	20.50
was:VBD	15.46	0.00	20.00	11.96	14.34	20.00
,:,	20.50	20.00	10.00	19.58	20.00	5.73
the:DT	20.50	20.00	10.00	20.00	20.00	10.00
press:NN	10.46	14.34	20.00	11.96	8.50	19.26
reported:VBN	15.46	10.00	20.00	11.96	14.05	19.71
,:,	20.50	20.00	10.00	19.58	20.00	5.73
a:DT	20.50	20.00	0.00	20.00	20.00	10.00
successful:JJ	12.46	11.96	20.00	0.00	11.78	18.38
spy:NN	10.46	14.34	20.00	11.78	0.00	20.00
.:.	20.50	20.00	10.00	18.38	20.00	0.00
NO_WORD	10.00	1.00	1.00	9.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -5.0000
Features matched: Factive.unknownPassage: non factive text -- unknown: reported-VBN; NullPunisher.aux: was; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "reported vs. hyp "." <-punct-- "spy", which aligned to text "spy" args have different parents, different relations: text "Ames" <-nsubjpass-- "reported" vs. hyp "Ames" <-nsubj-- "spy", which aligned to text "spy"
Hand-tuned score: -0.5500
Threshold: -3.3437

Inference ID: -50

Txt: Ames was, as the press reported, a successful spy.

Hyp: Ames was not a successful spy. (Don't know.)

	Ames NNP	was VBD	not RB	a DT	successful JJ	spy NN	. .
Ames:NNP	0.00	15.46	15.46	20.50	12.46	10.46	20.50
was:VBD	15.46	0.00	19.96	20.00	11.96	14.34	20.00
,:,	20.50	20.00	20.00	10.00	19.58	20.00	5.73
the:DT	20.50	20.00	20.00	10.00	20.00	20.00	10.00
press:NN	10.46	14.34	14.96	20.00	11.96	8.50	19.26
reported:VBN	15.46	10.00	19.96	20.00	11.96	14.05	19.71
,:,	20.50	20.00	20.00	10.00	19.58	20.00	5.73
a:DT	20.50	20.00	20.00	0.00	20.00	20.00	10.00
successful:JJ	12.46	11.96	11.96	20.00	0.00	11.78	18.38
spy:NN	10.46	14.34	14.96	20.00	11.78	0.00	20.00
.:.	20.50	20.00	20.00	10.00	18.38	20.00	0.00
NO_WORD	10.00	1.00	9.00	1.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -14.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.unknownPassage: non factive text -- unknown: reported-VBN; Polarity.hypNegMarker: "spy": neg; NullPunisher.aux: was; NullPunisher.other: not; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "reported vs. hyp "." <-punct-- "spy", which aligned to text "spy" args have different parents, different relations: text "Ames" <-nsubjpass-- "reported" vs. hyp "Ames" <-nsubj-- "spy", which aligned to text "spy"
Hand-tuned score: -6.5500
Threshold: -3.3437

Inference ID: 51

Txt: The press reported that Ames was a successful spy.

Hyp: Ames was a successful spy. (Don't know.)

	Ames NNP	was VBD	a DT	successful JJ	spy NN	. .
The:DT	20.50	20.00	10.00	20.00	20.00	10.00
press:NN	10.46	14.34	20.00	11.96	8.50	19.26
reported:VBD	15.46	10.00	20.00	11.96	14.05	19.71
that:IN	20.50	20.00	20.00	20.00	20.00	20.00
Ames:NNP	0.00	15.46	20.50	12.46	10.46	20.50
was:VBD	15.46	0.00	20.00	11.96	14.34	20.00
a:DT	20.50	20.00	0.00	20.00	20.00	10.00
successful:JJ	12.46	11.96	20.00	0.00	11.78	18.38
spy:NN	10.46	14.34	20.00	11.78	0.00	20.00
.:.	20.50	20.00	10.00	18.38	20.00	0.00
NO_WORD	10.00	1.00	1.00	9.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.unknownPassage: non factive text -- unknown: reported-VBD; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "reported vs. hyp "." <-punct-- "spy", which aligned to text "spy"
Hand-tuned score: -0.5000
Threshold: -3.3437

Inference ID: -51

Txt: The press reported that Ames was a successful spy.

Hyp: Ames was not a successful spy. (Don't know.)

	Ames NNP	was VBD	not RB	a DT	successful JJ	spy NN	. .
The:DT	20.50	20.00	20.00	10.00	20.00	20.00	10.00
press:NN	10.46	14.34	14.96	20.00	11.96	8.50	19.26
reported:VBD	15.46	10.00	19.96	20.00	11.96	14.05	19.71
that:IN	20.50	20.00	20.00	20.00	20.00	20.00	20.00
Ames:NNP	0.00	15.46	15.46	20.50	12.46	10.46	20.50
was:VBD	15.46	0.00	19.96	20.00	11.96	14.34	20.00
a:DT	20.50	20.00	20.00	0.00	20.00	20.00	10.00
successful:JJ	12.46	11.96	11.96	20.00	0.00	11.78	18.38
spy:NN	10.46	14.34	14.96	20.00	11.78	0.00	20.00
.:.	20.50	20.00	20.00	10.00	18.38	20.00	0.00
NO_WORD	10.00	1.00	9.00	1.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.unknownPassage: non factive text -- unknown: reported-VBD; Polarity.hypNegMarker: "spy": neg; NullPunisher.other: not; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "reported vs. hyp "." <-punct-- "spy", which aligned to text "spy"
Hand-tuned score: -6.5000
Threshold: -3.3437

Inference ID: 52

Txt: The US forgot that the Afghans speak several different languages.

Hyp: The Afghans speak several different languages. (Yes.)

	The DT	Afghans NNPS	speak VBP	several JJ	different JJ	languages NNS	. .
The:DT	0.00	20.50	20.00	20.00	20.00	20.00	10.00
US:NNP	20.50	14.34	15.50	12.46	12.46	10.50	20.50
forgot:VBD	20.00	15.50	9.43	11.96	11.96	15.00	19.56
that:IN	20.00	20.50	20.00	20.00	20.00	20.00	20.00
the:DT	0.00	20.50	20.00	20.00	20.00	20.00	10.00
Afghans:NNPS	20.50	0.00	15.50	12.46	12.46	5.87	20.50
speak:VBP	20.00	15.50	0.00	11.96	11.39	12.82	18.41
several:JJ	20.00	12.46	11.96	0.00	9.96	11.96	20.00
different:JJ	20.00	12.46	11.39	9.96	0.00	8.76	17.27
languages:NNS	20.00	5.87	12.82	11.96	8.76	0.00	19.86
.:.	10.00	20.50	18.41	20.00	17.27	19.86	0.00
NO_WORD	1.00	10.00	10.00	9.00	9.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.negativeStatement: non factive text : forgot-VBD; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "forgot vs. hyp "." <-punct-- "speak", which aligned to text "speak"
Hand-tuned score: -7.0000
Threshold: -3.3437

Inference ID: -52

Txt: The US forgot that the Afghans speak several different languages.

Hyp: The Afghans do not speak several different languages. (Don't know.)

	The DT	Afghans NNPS	do VBP	not RB	speak VB	several JJ	different JJ	languages NNS	. .
The:DT	0.00	20.50	20.00	20.00	20.00	20.00	20.00	20.00	10.00
US:NNP	20.50	14.34	15.50	15.46	15.50	12.46	12.46	10.50	20.50
forgot:VBD	20.00	15.50	8.48	19.96	9.43	11.96	11.96	15.00	19.56
that:IN	20.00	20.50	20.00	20.00	20.00	20.00	20.00	20.00	20.00
the:DT	0.00	20.50	20.00	20.00	20.00	20.00	20.00	20.00	10.00
Afghans:NNPS	20.50	0.00	13.35	15.46	15.50	12.46	12.46	5.87	20.50
speak:VBP	20.00	15.50	5.23	19.96	0.00	11.96	11.39	12.82	18.41
several:JJ	20.00	12.46	11.96	11.96	11.96	0.00	9.96	11.96	20.00
different:JJ	20.00	12.46	10.27	11.96	11.39	9.96	0.00	8.76	17.27
languages:NNS	20.00	5.87	11.24	14.96	12.82	11.96	8.76	0.00	19.86
.:.	10.00	20.50	18.81	20.00	18.41	20.00	17.27	19.86	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	9.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -12.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.negativeStatement: non factive text : forgot-VBD; Polarity.hypNegMarker: "speak": neg; NullPunisher.aux: do; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "forgot vs. hyp "." <-punct-- "speak", which aligned to text "speak"
Hand-tuned score: -13.0500
Threshold: -3.3437

Inference ID: 53

Txt: Bush realized that the US Army had to be transformed to meet new threats.

Hyp: The US Army had to be transformed to meet new threats. (Yes.)

	The DT	US_Army NNP	had VBD	to TO	be VB	transformed VBN	to TO	meet VB	new JJ	threats NNS	. .
Bush:NNP	20.00	8.63	13.05	20.00	14.34	15.00	20.00	12.02	11.96	8.05	20.00
realized:VBD	20.00	15.50	6.84	20.00	10.00	7.20	20.00	7.24	11.96	14.16	17.47
that:IN	20.00	20.50	20.00	20.00	20.00	20.00	20.00	20.00	20.00	20.00	20.00
the:DT	0.00	20.50	20.00	10.00	20.00	20.00	10.00	20.00	20.00	20.00	10.00
US_Army:NNP	20.50	0.00	15.17	20.50	15.17	15.50	20.50	15.50	12.46	10.17	20.50
had:VBD	20.00	15.17	0.00	20.00	7.80	7.61	20.00	3.72	11.96	13.05	20.00
to:TO	10.00	20.50	20.00	0.00	20.00	20.00	0.00	20.00	20.00	20.00	10.00
be:VB	20.00	15.17	7.80	20.00	0.00	10.00	20.00	2.00	11.96	14.34	20.00
transformed:VBN	20.00	15.50	7.61	20.00	10.00	0.00	20.00	7.61	10.33	14.61	20.00
to:TO	10.00	20.50	20.00	0.00	20.00	20.00	0.00	20.00	20.00	20.00	10.00
meet:VB	20.00	15.50	3.72	20.00	6.07	7.61	20.00	0.00	11.24	14.50	19.52
new:JJ	20.00	12.46	11.96	20.00	11.96	10.33	20.00	11.24	0.00	11.96	20.00
threats:NNS	20.00	10.17	13.05	20.00	14.34	14.61	20.00	14.50	11.96	0.00	19.03
.:.	10.00	20.50	20.00	10.00	20.00	20.00	10.00	19.52	20.00	19.03	0.00
NO_WORD	1.00	10.00	10.00	10.00	1.00	10.00	10.00	10.00	9.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.factivePassage: factive entails : realized-VBD; Modal.weakYes: necessary -> necessary; Structure.argsMismatch: args have different parents but same relations: text "US_Army" <-xsubj-- "transformed vs. hyp "US_Army" <-nsubj-- "had", which aligned to text "had" args have different parents but same relations: text "." <-punct-- "realized vs. hyp "." <-punct-- "had", which aligned to text "had"
Hand-tuned score: 0.0000
Threshold: -3.3437

Inference ID: -53

Txt: Bush realized that the US Army had to be transformed to meet new threats.

Hyp: The US Army did not have to be transformed to meet new threats. (Don't know.)

The
DT

US_Army
NNP

did
VBD

not
RB

have
VB

to
TO

be
VB

transformed
VBN

to
TO

meet
VB

new
JJ

threats
NNS

.
.

Bush:NNP

20.00

8.63

15.00

14.96

13.05

20.00

14.34

15.00

20.00

12.02

11.96

8.05

20.00

realized:VBD

20.00

15.50

7.32

19.96

6.84

20.00

10.00

7.20

20.00

7.24

11.96

14.16

17.47

that:IN

20.00

20.50

20.00

the:DT

0.00

20.50

20.00

10.00

20.00

10.00

20.00

10.00

US_Army:NNP

20.50

0.00

15.50

15.46

15.17

20.50

15.17

15.50

20.50

15.50

12.46

10.17

20.50

had:VBD

20.00

15.17

7.32

19.96

0.50

20.00

7.80

7.61

20.00

3.72

11.96

13.05

20.00

to:TO

10.00

20.50

20.00

0.00

20.00

0.00

20.00

10.00

be:VB

20.00

15.17

6.07

19.96

7.80

20.00

0.00

10.00

20.00

2.00

11.96

14.34

20.00

transformed:VBN

20.00

15.50

7.62

19.96

7.61

20.00

10.00

0.00

20.00

7.61

10.33

14.61

20.00

to:TO

10.00

20.50

20.00

0.00

20.00

0.00

20.00

10.00

meet:VB

20.00

15.50

5.11

19.96

3.72

20.00

6.07

7.61

20.00

0.00

11.24

14.50

19.52

new:JJ

20.00

12.46

11.96

20.00

11.96

10.33

20.00

11.24

0.00

11.96

20.00

threats:NNS

20.00

10.17

12.85

14.96

13.05

20.00

14.34

14.61

20.00

14.50

11.96

0.00

19.03

.:.

10.00

20.50

17.99

20.00

10.00

20.00

10.00

19.52

20.00

19.03

0.00

NO_WORD

1.00

10.00

1.00

9.00

10.00

1.00

10.00

9.00

10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -12.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.factivePassage: factive entails : realized-VBD; Modal.no: necessary -> not necessary; Polarity.hypNegMarker: "have": neg; NullPunisher.other: not; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "US_Army" <-xsubj-- "transformed vs. hyp "US_Army" <-nsubj-- "have", which aligned to text "had" args have different parents but same relations: text "." <-punct-- "realized vs. hyp "." <-punct-- "have", which aligned to text "had"
Hand-tuned score: -13.0500
Threshold: -3.3437

Inference ID: 54

Txt: Bush didn't realize that Afghanistan is land-locked.

Hyp: Afghanistan is land-locked. (Yes.)

	Afghanistan NNP	is VBZ	land NN	- :	locked VBN	. .
Bush:NNP	7.61	14.34	7.11	20.00	8.87	20.00
did:VBD	15.50	6.07	12.62	20.00	7.32	17.99
n't:RB	15.46	19.96	14.96	20.00	19.96	17.90
realize:VB	15.50	10.00	14.42	20.00	7.32	17.34
that:IN	20.50	20.00	20.00	20.00	20.00	20.00
Afghanistan:NNP	0.00	14.84	5.84	20.50	14.84	20.50
is:VBZ	14.84	0.00	14.34	20.00	9.34	20.00
land:NN	2.50	14.34	0.00	20.00	12.65	18.77
-::	20.50	20.00	20.00	0.00	20.00	10.00
locked:VBN	14.84	9.34	12.65	20.00	0.00	19.17
.:.	20.50	20.00	18.77	10.00	19.17	0.00
NO_WORD	10.00	1.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.factivePassage: factive entails : realize-VB; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "realize vs. hyp "." <-punct-- "land", which aligned to text "land"
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: -54

Txt: Bush didn't realize that Afghanistan is land-locked.

Hyp: Afghanistan is not land-locked. (Don't know.)

	Afghanistan NNP	is VBZ	not RB	land NN	- :	locked VBN	. .
Bush:NNP	7.61	14.34	14.96	7.11	20.00	8.87	20.00
did:VBD	15.50	6.07	19.96	12.62	20.00	7.32	17.99
n't:RB	15.46	19.96	0.50	14.96	20.00	19.96	17.90
realize:VB	15.50	10.00	19.96	14.42	20.00	7.32	17.34
that:IN	20.50	20.00	20.00	20.00	20.00	20.00	20.00
Afghanistan:NNP	0.00	14.84	15.46	5.84	20.50	14.84	20.50
is:VBZ	14.84	0.00	19.96	14.34	20.00	9.34	20.00
land:NN	2.50	14.34	14.96	0.00	20.00	12.65	18.77
-::	20.50	20.00	20.00	20.00	0.00	20.00	10.00
locked:VBN	14.84	9.34	19.96	12.65	20.00	0.00	19.17
.:.	20.50	20.00	20.00	18.77	10.00	19.17	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -8.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.factivePassage: factive entails : realize-VB; Polarity.hypNegMarker: "land": neg; Structure.argsMismatch: args have different parents but same relations: text "n't" <-neg-- "realize vs. hyp "not" <-neg-- "land", which aligned to text "land" args have different parents but same relations: text "." <-punct-- "realize vs. hyp "." <-punct-- "land", which aligned to text "land" text "locked" is amod of "land" while hyp "locked" is partmod of "land" which aligned to text "land"
Hand-tuned score: -6.0000
Threshold: -3.3437

Inference ID: 55

Txt: There is a belief that the US will invade Syria.

Hyp: The US will invade Syria. (Don't know.)

	The DT	US NNP	will MD	invade VB	Syria NNP	. .
There:EX	10.00	20.50	10.00	20.00	20.50	10.00
is:VBZ	20.00	14.84	20.00	6.70	14.84	20.00
a:DT	10.00	20.50	10.00	20.00	20.50	10.00
belief:NN	20.00	10.50	17.47	14.83	10.50	18.82
that:IN	20.00	20.50	20.00	20.00	20.50	20.00
the:DT	0.00	20.50	10.00	20.00	20.50	10.00
US:NNP	20.50	0.00	20.50	15.50	5.34	20.50
will:MD	10.00	20.50	0.00	20.00	20.50	10.00
invade:VB	20.00	15.50	20.00	0.00	15.50	20.00
Syria:NNP	20.50	5.34	20.50	15.50	0.00	20.50
.:.	10.00	20.50	10.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.unknownPassage: non factive text -- unknown: belief-NN; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "is vs. hyp "." <-punct-- "invade", which aligned to text "invade"
Hand-tuned score: -1.5000
Threshold: -3.3437

Inference ID: -55

Txt: There is a belief that the US will invade Syria.

Hyp: The US will not invade Syria. (Don't know.)

	The DT	US NNP	will MD	not RB	invade VB	Syria NNP	. .
There:EX	10.00	20.50	10.00	20.00	20.00	20.50	10.00
is:VBZ	20.00	14.84	20.00	19.96	6.70	14.84	20.00
a:DT	10.00	20.50	10.00	20.00	20.00	20.50	10.00
belief:NN	20.00	10.50	17.47	14.96	14.83	10.50	18.82
that:IN	20.00	20.50	20.00	20.00	20.00	20.50	20.00
the:DT	0.00	20.50	10.00	20.00	20.00	20.50	10.00
US:NNP	20.50	0.00	20.50	15.46	15.50	5.34	20.50
will:MD	10.00	20.50	0.00	19.96	20.00	20.50	10.00
invade:VB	20.00	15.50	20.00	19.96	0.00	15.50	20.00
Syria:NNP	20.50	5.34	20.50	15.46	15.50	0.00	20.50
.:.	10.00	20.50	10.00	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	10.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.unknownPassage: non factive text -- unknown: belief-NN; Polarity.hypNegMarker: "invade": neg; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "is vs. hyp "." <-punct-- "invade", which aligned to text "invade"
Hand-tuned score: -7.5000
Threshold: -3.3437

Inference ID: 56

Txt: It is not surprising that Bush has the lead in Ohio.

Hyp: Bush has the lead in Ohio. (Yes.)

	Bush NNP	has VBZ	the DT	lead NN	Ohio NNP	. .
It:PRP	12.50	15.00	20.00	12.00	12.50	20.00
is:VBZ	14.84	8.64	20.00	9.39	14.84	20.00
not:RB	15.46	19.96	20.00	14.96	15.46	20.00
surprising:JJ	12.50	12.00	20.00	9.70	12.50	19.84
that:IN	20.50	20.00	20.00	20.00	20.50	20.00
Bush:NNP	0.00	13.02	20.50	8.02	12.11	20.50
has:VBZ	13.02	0.00	20.00	7.65	13.02	20.00
the:DT	20.50	20.00	0.00	20.00	20.50	10.00
lead:NN	8.02	7.65	20.00	0.00	8.02	19.02
Ohio:NNP	12.11	13.02	20.50	8.02	0.00	20.50
.:.	20.50	20.00	10.00	19.02	20.50	0.00
NO_WORD	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.factivePassage: factive entails : surprising-JJ; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "surprising vs. hyp "." <-punct-- "has", which aligned to text "has"
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: -56

Txt: It is not surprising that Bush has the lead in Ohio.

Hyp: Bush does not have the lead in Ohio. (Don't know.)

	Bush NNP	does VBZ	not RB	have VB	the DT	lead NN	Ohio NNP	. .
It:PRP	12.50	15.00	20.00	15.00	20.00	12.00	12.50	20.00
is:VBZ	14.84	9.34	19.96	7.80	20.00	9.39	14.84	20.00
not:RB	15.46	19.96	0.00	19.96	20.00	14.96	15.46	20.00
surprising:JJ	12.50	11.87	11.96	10.07	20.00	9.70	12.50	19.84
that:IN	20.50	20.00	20.00	20.00	20.00	20.00	20.50	20.00
Bush:NNP	0.00	13.61	15.46	13.55	20.50	8.02	12.11	20.50
has:VBZ	13.02	9.34	19.96	0.50	20.00	7.65	13.02	20.00
the:DT	20.50	18.65	20.00	20.00	0.00	20.00	20.50	10.00
lead:NN	8.02	13.11	14.96	10.68	20.00	0.00	8.02	19.02
Ohio:NNP	12.11	14.84	15.46	14.84	20.50	8.02	0.00	20.50
.:.	20.50	20.00	20.00	20.00	10.00	19.02	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -5.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.factivePassage: factive entails : surprising-JJ; Polarity.hypNegMarker: "have": neg; NullPunisher.aux: does; Structure.argsMismatch: args have different parents but same relations: text "not" <-neg-- "surprising vs. hyp "not" <-neg-- "have", which aligned to text "has" args have different parents but same relations: text "." <-punct-- "surprising vs. hyp "." <-punct-- "have", which aligned to text "has"
Hand-tuned score: -6.0500
Threshold: -3.3437

Inference ID: 57

Txt: It is not likely that Bush has the lead in Ohio.

Hyp: Bush has the lead in Ohio. (Don't know.)

	Bush NNP	has VBZ	the DT	lead NN	Ohio NNP	. .
It:PRP	12.50	15.00	20.00	12.00	12.50	20.00
is:VBZ	14.84	8.64	20.00	9.39	14.84	20.00
not:RB	15.46	19.96	20.00	14.96	15.46	20.00
likely:JJ	12.46	11.96	20.00	10.90	12.46	19.92
that:IN	20.50	20.00	20.00	20.00	20.50	20.00
Bush:NNP	0.00	13.02	20.50	8.02	12.11	20.50
has:VBZ	13.02	0.00	20.00	7.65	13.02	20.00
the:DT	20.50	20.00	0.00	20.00	20.50	10.00
lead:NN	8.02	7.65	20.00	0.00	8.02	19.02
Ohio:NNP	12.11	13.02	20.50	8.02	0.00	20.50
.:.	20.50	20.00	10.00	19.02	20.50	0.00
NO_WORD	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.unknownPassage: non factive text -- unknown: likely-JJ; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "likely vs. hyp "." <-punct-- "has", which aligned to text "has"
Hand-tuned score: -1.5000
Threshold: -3.3437

Inference ID: -57

Txt: It is not likely that Bush has the lead in Ohio.

Hyp: Bush does not have the lead in Ohio. (Don't know.)

	Bush NNP	does VBZ	not RB	have VB	the DT	lead NN	Ohio NNP	. .
It:PRP	12.50	15.00	20.00	15.00	20.00	12.00	12.50	20.00
is:VBZ	14.84	9.34	19.96	7.80	20.00	9.39	14.84	20.00
not:RB	15.46	19.96	0.00	19.96	20.00	14.96	15.46	20.00
likely:JJ	12.46	9.43	11.96	11.96	20.00	10.90	12.46	19.92
that:IN	20.50	20.00	20.00	20.00	20.00	20.00	20.50	20.00
Bush:NNP	0.00	13.61	15.46	13.55	20.50	8.02	12.11	20.50
has:VBZ	13.02	9.34	19.96	0.50	20.00	7.65	13.02	20.00
the:DT	20.50	18.65	20.00	20.00	0.00	20.00	20.50	10.00
lead:NN	8.02	13.11	14.96	10.68	20.00	0.00	8.02	19.02
Ohio:NNP	12.11	14.84	15.46	14.84	20.50	8.02	0.00	20.50
.:.	20.50	20.00	20.00	20.00	10.00	19.02	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -5.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.unknownPassage: non factive text -- unknown: likely-JJ; Polarity.hypNegMarker: "have": neg; NullPunisher.aux: does; Structure.argsMismatch: args have different parents but same relations: text "not" <-neg-- "likely vs. hyp "not" <-neg-- "have", which aligned to text "has" args have different parents but same relations: text "." <-punct-- "likely vs. hyp "." <-punct-- "have", which aligned to text "has"
Hand-tuned score: -6.5500
Threshold: -3.3437

Inference ID: 58

Txt: Kerry knew that Edwards would accept the nomination.

Hyp: Kerry knew whether Edwards would accept the nomination. (Yes.)

	Kerry NNP	knew VBD	whether IN	Edwards NNP	would MD	accept VB	the DT	nomination NN	. .
Kerry:NNP	0.00	15.46	20.50	9.07	20.46	15.46	20.50	10.46	20.50
knew:VBD	15.46	0.00	20.00	15.50	19.96	5.35	20.00	14.92	17.19
that:IN	20.50	20.00	10.00	20.50	20.00	20.00	20.00	20.00	20.00
Edwards:NNP	9.07	15.50	20.50	0.00	20.46	15.50	20.50	10.50	20.50
would:MD	20.46	19.96	20.00	20.46	0.00	19.96	10.00	19.96	10.00
accept:VB	15.46	5.35	20.00	15.50	19.96	0.00	20.00	15.00	18.61
the:DT	20.50	20.00	20.00	20.50	10.00	20.00	0.00	20.00	10.00
nomination:NN	10.46	14.92	20.00	10.50	19.96	15.00	20.00	0.00	19.99
.:.	20.50	17.19	20.00	20.50	10.00	18.61	10.00	19.99	0.00
NO_WORD	10.00	10.00	1.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -1.0000
Features matched: NullPunisher.functionWord: whether
Hand-tuned score: 0.9000
Threshold: -3.3437

Inference ID: -58

Txt: Kerry knew that Edwards would accept the nomination.

Hyp: Kerry did not know whether Edwards would accept the nomination. (Don't know.)

	Kerry NNP	did VBD	not RB	know VB	whether IN	Edwards NNP	would MD	accept VB	the DT	nomination NN	. .
Kerry:NNP	0.00	15.46	15.46	15.46	20.50	9.07	20.46	15.46	20.50	10.46	20.50
knew:VBD	15.46	4.04	19.96	0.50	20.00	15.50	19.96	5.35	20.00	14.92	17.19
that:IN	20.50	20.00	20.00	20.00	10.00	20.50	20.00	20.00	20.00	20.00	20.00
Edwards:NNP	9.07	15.50	15.46	15.50	20.50	0.00	20.46	15.50	20.50	10.50	20.50
would:MD	20.46	18.57	19.96	19.96	20.00	20.46	0.00	19.96	10.00	19.96	10.00
accept:VB	15.46	7.47	19.96	1.00	20.00	15.50	19.96	0.00	20.00	15.00	18.61
the:DT	20.50	20.00	20.00	20.00	20.00	20.50	10.00	20.00	0.00	20.00	10.00
nomination:NN	10.46	14.36	14.96	14.84	20.00	10.50	19.96	15.00	20.00	0.00	19.99
.:.	20.50	17.99	20.00	17.93	20.00	20.50	10.00	18.61	10.00	19.99	0.00
NO_WORD	10.00	1.00	9.00	10.00	1.00	10.00	10.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "know": neg; NullPunisher.other: not; NullPunisher.functionWord: whether; NullPunisher.aux: did
Hand-tuned score: -5.1500
Threshold: -3.3437

Inference ID: 59

Txt: Tom knows that Naples is in Campania.

Hyp: Tom knows where Naples is. (Yes.)

	Tom NNP	knows VBZ	where WRB	Naples NNP	is VBZ	. .
Tom:NNP	0.00	15.00	19.96	9.84	14.34	20.00
knows:VBZ	15.00	0.00	19.96	15.50	8.07	20.00
that:IN	20.00	20.00	18.69	20.50	20.00	20.00
Naples:NNP	9.84	15.50	20.46	0.00	14.84	20.50
is:VBZ	14.34	8.07	19.96	14.84	0.00	20.00
Campania:NNP	9.84	15.50	20.46	2.00	14.84	20.50
.:.	20.00	20.00	10.00	20.50	20.00	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -10.0000
Features matched: Adjunct.addPosCxt: hyp added where[where-WRB]; Adjunct.dropPosCxt: text adjunct "Campania" of "is" dropped on aligned hyp word "is"; NullPunisher.other: where
Hand-tuned score: -0.5000
Threshold: -3.3437

Inference ID: -59

Txt: Tom knows that Naples is in Campania.

Hyp: Tom does not know where Naples is. (Don't know.)

	Tom NNP	does VBZ	not RB	know VB	where WRB	Naples NNP	is VBZ	. .
Tom:NNP	0.00	10.17	14.96	15.00	19.96	9.84	14.34	20.00
knows:VBZ	15.00	2.16	19.96	0.50	19.96	15.50	8.07	20.00
that:IN	20.00	20.00	20.00	20.00	18.69	20.50	20.00	20.00
Naples:NNP	9.84	14.84	15.46	15.50	20.46	0.00	14.84	20.50
is:VBZ	14.34	9.34	19.96	8.07	19.96	14.84	0.00	20.00
Campania:NNP	9.84	14.84	15.46	15.50	20.46	2.00	14.84	20.50
.:.	20.00	20.00	20.00	17.93	10.00	20.50	20.00	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -20.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "know": neg; NullPunisher.aux: does; NullPunisher.other: not; NullPunisher.other: where
Hand-tuned score: -6.0500
Threshold: -3.3437

Inference ID: 60

Txt: We met in September during the feast.

Hyp: The feast took place in September. (Yes.)

	The DT	feast NN	took_place VBD	September NNP	. .
We:PRP	20.00	12.00	15.00	12.50	20.00
met:VBD	20.00	10.15	8.51	15.50	19.15
September:NNP	20.50	10.50	14.84	0.00	20.50
the:DT	0.00	20.00	20.00	20.50	10.00
feast:NN	20.00	0.00	13.28	10.50	20.00
.:.	10.00	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -10.5097
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 09/01/1000; RootEntailment.poorlyAlignedRoot: "took_place" aligned badly to "met"; Structure.relMismatch: text "feast" is prep_during of "met" while hyp "feast" is nsubj of "took_place" which aligned to text "met"
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: -60

Txt: We met in September during the feast.

Hyp: The feast did not take place in September. (Don't know.)

	The DT	feast NN	did VBD	not RB	take_place VB	September NNP	. .
We:PRP	20.00	12.00	15.00	20.00	15.00	12.50	20.00
met:VBD	20.00	10.15	5.11	19.96	8.51	15.50	19.15
September:NNP	20.50	10.50	14.19	15.46	14.84	0.00	20.50
the:DT	0.00	20.00	20.00	20.00	20.00	20.50	10.00
feast:NN	20.00	0.00	9.07	14.96	13.28	10.50	20.00
.:.	10.00	20.00	17.99	20.00	20.00	20.50	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -20.5097
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 09/01/1000; Polarity.hypNegMarker: "take_place": neg; NullPunisher.other: not; NullPunisher.aux: did; RootEntailment.poorlyAlignedRoot: "take_place" aligned badly to "met"; Structure.relMismatch: text "feast" is prep_during of "met" while hyp "feast" is nsubj of "take_place" which aligned to text "met"
Hand-tuned score: -7.0500
Threshold: -3.3437

Inference ID: 61

Txt: It is false that Bin Laden was seen in Tora Bora.

Hyp: Bin Laden was seen in Tora Bora. (Don't know.)

	Bin_Laden NNP	was VBD	seen VBN	Tora_Bora NNP	. .
It:PRP	12.50	15.00	15.00	12.50	20.00
is:VBZ	14.84	0.50	7.74	15.46	20.00
false:JJ	12.46	11.96	11.96	12.46	18.76
that:IN	20.50	20.00	20.00	20.50	20.00
Bin_Laden:NNP	0.00	14.84	14.84	14.96	20.50
was:VBD	14.84	0.00	7.11	15.46	20.00
seen:VBN	14.84	7.11	0.00	15.46	18.17
Tora_Bora:NNP	14.96	15.46	15.46	0.00	20.50
.:.	20.50	20.00	18.17	20.50	0.00
NO_WORD	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.negativeStatement: non factive text : false-JJ; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "false vs. hyp "." <-punct-- "seen", which aligned to text "seen"
Hand-tuned score: -7.0000
Threshold: -3.3437

Inference ID: -61

Txt: It is false that Bin Laden was seen in Tora Bora.

Hyp: Bin Laden was not seen in Tora Bora. (Yes.)

	Bin_Laden NNP	was VBD	not RB	seen VBN	Tora_Bora NNP	. .
It:PRP	12.50	15.00	20.00	15.00	12.50	20.00
is:VBZ	14.84	0.50	19.96	7.74	15.46	20.00
false:JJ	12.46	11.96	11.96	11.96	12.46	18.76
that:IN	20.50	20.00	20.00	20.00	20.50	20.00
Bin_Laden:NNP	0.00	14.84	15.46	14.84	14.96	20.50
was:VBD	14.84	0.00	19.96	7.11	15.46	20.00
seen:VBN	14.84	7.11	19.96	0.00	15.46	18.17
Tora_Bora:NNP	14.96	15.46	15.46	15.46	0.00	20.50
.:.	20.50	20.00	20.00	18.17	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.negativeStatement: non factive text : false-JJ; Polarity.hypNegMarker: "seen": neg; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "false vs. hyp "." <-punct-- "seen", which aligned to text "seen"
Hand-tuned score: -13.0000
Threshold: -3.3437

Inference ID: 62

Txt: It follows that Bin Laden was in Tora Bora.

Hyp: Bin Laden was in Tora Bora. (Yes.)

	Bin_Laden NNP	was VBD	Tora_Bora NNP	. .
It:PRP	12.50	15.00	12.50	20.00
follows:VBZ	15.50	10.00	15.46	17.41
that:IN	20.50	20.00	20.50	20.00
Bin_Laden:NNP	0.00	14.84	14.96	20.50
was:VBD	14.84	0.00	15.46	20.00
Tora_Bora:NNP	14.96	15.46	0.00	20.50
.:.	20.50	20.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.factivePassage: factive entails : follows-VBZ; Location.mismatch: no clear info of matching: be(X, prep_in); Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "follows vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -3.0000
Threshold: -3.3437

Inference ID: -62

Txt: It follows that Bin Laden was in Tora Bora.

Hyp: Bin Laden was not in Tora Bora. (Don't know.)

	Bin_Laden NNP	was VBD	not RB	Tora_Bora NNP	. .
It:PRP	12.50	15.00	20.00	12.50	20.00
follows:VBZ	15.50	10.00	19.96	15.46	17.41
that:IN	20.50	20.00	20.00	20.50	20.00
Bin_Laden:NNP	0.00	14.84	15.46	14.96	20.50
was:VBD	14.84	0.00	19.96	15.46	20.00
Tora_Bora:NNP	14.96	15.46	15.46	0.00	20.50
.:.	20.50	20.00	20.00	20.50	0.00
NO_WORD	10.00	10.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.factivePassage: factive entails : follows-VBZ; Polarity.hypNegMarker: "was": neg; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "follows vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -7.0000
Threshold: -3.3437

Inference ID: 63

Txt: It is likely that Bin Laden was in Tora Bora.

Hyp: Bin Laden was in Tora Bora. (Don't know.)

	Bin_Laden NNP	was VBD	Tora_Bora NNP	. .
It:PRP	12.50	15.00	12.50	20.00
is:VBZ	14.84	0.50	15.46	20.00
likely:JJ	12.46	11.96	12.46	19.92
that:IN	20.50	20.00	20.50	20.00
Bin_Laden:NNP	0.00	14.84	14.96	20.50
was:VBD	14.84	0.00	15.46	20.00
Tora_Bora:NNP	14.96	15.46	0.00	20.50
.:.	20.50	20.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Factive.unknownPassage: non factive text -- unknown: likely-JJ; Location.mismatch: no clear info of matching: be(X, prep_in); Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "likely vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -3.5000
Threshold: -3.3437

Inference ID: -63

Txt: It is likely that Bin Laden was in Tora Bora.

Hyp: Bin Laden was not in Tora Bora. (Don't know.)

	Bin_Laden NNP	was VBD	not RB	Tora_Bora NNP	. .
It:PRP	12.50	15.00	20.00	12.50	20.00
is:VBZ	14.84	0.50	19.96	15.46	20.00
likely:JJ	12.46	11.96	11.96	12.46	19.92
that:IN	20.50	20.00	20.00	20.50	20.00
Bin_Laden:NNP	0.00	14.84	15.46	14.96	20.50
was:VBD	14.84	0.00	19.96	15.46	20.00
Tora_Bora:NNP	14.96	15.46	15.46	0.00	20.50
.:.	20.50	20.00	20.00	20.50	0.00
NO_WORD	10.00	10.00	9.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.unknownPassage: non factive text -- unknown: likely-JJ; Polarity.hypNegMarker: "was": neg; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "likely vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -7.5000
Threshold: -3.3437

Inference ID: 64

Txt: Tony Hall left Amman on Sunday.

Hyp: Tony Hall was in Amman on Sunday. (Yes.)

	Tony_Hall NNP	was VBD	Amman NNP	Sunday NNP	. .
Tony_Hall:NNP	0.00	15.17	14.67	14.96	20.50
left:VBD	15.17	7.11	11.79	15.50	19.46
Amman:NNP	14.67	11.83	0.00	15.00	20.50
Sunday:NNP	14.96	15.50	15.00	0.00	20.50
.:.	20.50	20.00	20.50	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -9.1114
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Location.mismatch: no clear info of matching: be(X, prep_in); RootEntailment.poorlyAlignedRoot: "was" aligned badly to "left"; Structure.relMismatch: text "Amman" is dobj of "left" while hyp "Amman" is prep_in of "was" which aligned to text "left"
Hand-tuned score: -3.0000
Threshold: -3.3437

Inference ID: -64

Txt: Tony Hall left Amman on Sunday.

Hyp: Tony Hall was not in Amman on Sunday. (Don't know.)

	Tony_Hall NNP	was VBD	not RB	Amman NNP	Sunday NNP	. .
Tony_Hall:NNP	0.00	15.17	15.46	14.67	14.96	20.50
left:VBD	15.17	7.11	19.96	11.79	15.50	19.46
Amman:NNP	14.67	11.83	15.46	0.00	15.00	20.50
Sunday:NNP	14.96	15.50	15.46	15.00	0.00	20.50
.:.	20.50	20.00	20.00	20.50	20.50	0.00
NO_WORD	10.00	10.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -18.1114
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Polarity.hypNegMarker: "was": neg; NullPunisher.other: not; RootEntailment.poorlyAlignedRoot: "was" aligned badly to "left"; Structure.relMismatch: text "Amman" is dobj of "left" while hyp "Amman" is prep_in of "was" which aligned to text "left"
Hand-tuned score: -7.0000
Threshold: -3.3437

Inference ID: 65

Txt: Tony Hall left Amman on Sunday.

Hyp: Tony Hall was in Amman on Saturday. (Don't know.)

	Tony_Hall NNP	was VBD	Amman NNP	Saturday NNP	. .
Tony_Hall:NNP	0.00	15.17	14.67	14.96	20.50
left:VBD	15.17	7.11	11.79	15.50	19.46
Amman:NNP	14.67	11.83	0.00	15.00	20.50
Sunday:NNP	14.96	15.50	15.00	4.13	20.50
.:.	20.50	20.00	20.50	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -13.2437
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Location.mismatch: no clear info of matching: be(X, prep_in); Numeric.mismatch: date Saturday != Sunday; RootEntailment.poorlyAlignedRoot: "was" aligned badly to "left"; Structure.relMismatch: text "Amman" is dobj of "left" while hyp "Amman" is prep_in of "was" which aligned to text "left"
Hand-tuned score: -9.0000
Threshold: -3.3437

Inference ID: -65

Txt: Tony Hall left Amman on Sunday.

Hyp: Tony Hall was not in Amman on Saturday. (Don't know.)

	Tony_Hall NNP	was VBD	not RB	Amman NNP	Saturday NNP	. .
Tony_Hall:NNP	0.00	15.17	15.46	14.67	14.96	20.50
left:VBD	15.17	7.11	19.96	11.79	15.50	19.46
Amman:NNP	14.67	11.83	15.46	0.00	15.00	20.50
Sunday:NNP	14.96	15.50	15.46	15.00	4.13	20.50
.:.	20.50	20.00	20.00	20.50	20.50	0.00
NO_WORD	10.00	10.00	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -22.2437
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; Polarity.hypNegMarker: "was": neg; NullPunisher.other: not; Numeric.mismatch: date Saturday != Sunday; RootEntailment.poorlyAlignedRoot: "was" aligned badly to "left"; Structure.relMismatch: text "Amman" is dobj of "left" while hyp "Amman" is prep_in of "was" which aligned to text "left"
Hand-tuned score: -13.0000
Threshold: -3.3437

Inference ID: 66

Txt: Khan sold 10 centrifuges to North Korea.

Hyp: North Korea bought 10 centrifuges. (Yes.)

	North_Korea NNP	bought VBD	10 CD	centrifuges NNS	. .
Khan:NNP	14.02	15.50	25.00	8.53	20.50
sold:VBD	15.50	2.96	20.00	14.23	19.42
10:CD	24.34	19.52	0.00	20.50	19.16
centrifuges:NNS	9.84	15.00	20.50	0.00	19.93
North_Korea:NNP	0.00	15.50	24.34	9.84	20.50
.:.	20.50	19.32	19.16	19.93	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -4.9562
Features matched: Structure.relMismatch: text "North_Korea" is prep_to of "sold" while hyp "North_Korea" is nsubj of "bought" which aligned to text "sold"
Hand-tuned score: 0.0000
Threshold: -3.3437

Inference ID: -66

Txt: Khan sold 10 centrifuges to North Korea.

Hyp: North Korea did not buy 10 centrifuges. (Don't know.)

	North_Korea NNP	did VBD	not RB	buy VB	10 CD	centrifuges NNS	. .
Khan:NNP	14.02	15.50	15.46	15.50	25.00	8.53	20.50
sold:VBD	15.50	7.69	19.96	6.51	20.00	14.23	19.42
10:CD	24.34	19.19	20.46	20.03	0.00	20.50	19.16
centrifuges:NNS	9.84	15.00	14.96	14.88	20.50	0.00	19.93
North_Korea:NNP	0.00	14.52	15.46	15.50	24.34	9.84	20.50
.:.	20.50	17.99	20.00	20.00	19.16	19.93	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -18.5110
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "buy": neg; NullPunisher.other: not; NullPunisher.aux: did; RootEntailment.poorlyAlignedRoot: "buy" aligned badly to "sold"; Structure.relMismatch: text "North_Korea" is prep_to of "sold" while hyp "North_Korea" is nsubj of "buy" which aligned to text "sold"
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 67

Txt: The US invasion of Afghanistan prevented Al-Qaida from attacking Ryad in 2002.

Hyp: Al-Qaida attacked Ryad in 2002. (Don't know.)

	Al-Qaida NNP	attacked VBD	Ryad NNP	2002 CD	. .
The:DT	20.50	20.00	20.00	20.50	10.00
US:NNP	10.00	15.50	10.46	24.96	20.50
invasion:NN	10.50	10.39	9.96	20.46	20.00
Afghanistan:NNP	10.00	15.50	10.46	24.96	20.50
prevented:VBD	15.50	6.64	14.96	20.37	18.96
Al-Qaida:NNP	0.50	15.00	9.96	20.46	20.00
from:IN	20.50	20.00	20.00	20.50	20.00
attacking:VBG	15.50	0.50	14.96	20.26	19.81
Ryad:NNP	9.96	15.46	0.50	24.96	20.50
2002:CD	24.96	19.46	20.46	0.00	20.50
.:.	20.50	20.00	20.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -5.5000
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/2002; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "prevented vs. hyp "." <-punct-- "attacked", which aligned to text "attacking" args have different parents, different relations: text "Al-Qaida" <-dobj-- "prevented" vs. hyp "Al-Qaida" <-nsubj-- "attacked", which aligned to text "attacking"
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: -67

Txt: The US invasion of Afghanistan prevented Al-Qaida from attacking Ryad in 2002.

Hyp: Al-Qaida did not attack Ryad in 2002. (Yes.)

	Al-Qaida NNP	did VBD	not RB	attack VB	Ryad NNP	2002 CD	. .
The:DT	20.00	20.00	20.00	20.00	20.00	20.50	10.00
US:NNP	10.50	15.50	15.46	15.50	10.46	24.96	20.50
invasion:NN	10.00	12.69	14.96	10.06	9.96	20.46	20.00
Afghanistan:NNP	10.50	15.50	15.46	15.50	10.46	24.96	20.50
prevented:VBD	15.00	9.29	19.96	6.37	14.96	20.37	18.96
Al-Qaida:NNP	0.00	15.00	14.96	15.00	9.96	20.46	20.00
from:IN	20.00	20.00	20.00	20.00	20.00	20.50	20.00
attacking:VBG	15.00	7.62	19.96	0.50	14.96	20.26	19.81
Ryad:NNP	10.46	15.46	15.46	15.46	0.50	24.96	20.50
2002:CD	20.46	20.46	20.46	20.44	20.46	0.00	20.50
.:.	20.00	17.99	20.00	20.00	20.00	20.50	0.00
NO_WORD	10.00	1.00	9.00	10.00	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -15.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/2002; Polarity.hypNegMarker: "attack": neg; NullPunisher.other: not; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "prevented vs. hyp "." <-punct-- "attack", which aligned to text "attacking" args have different parents, different relations: text "Al-Qaida" <-dobj-- "prevented" vs. hyp "Al-Qaida" <-nsubj-- "attack", which aligned to text "attacking"
Hand-tuned score: -7.0500
Threshold: -3.3437

Inference ID: 68

Txt: The administration managed to track down the perpetrators.

Hyp: The administration tracked down the perpetrators. (Yes.)

	The DT	administration NN	tracked_down VBD	the DT	perpetrators NNS	. .
The:DT	0.00	20.00	20.00	0.00	20.00	10.00
administration:NN	20.00	0.00	13.86	20.00	9.76	19.88
managed:VBD	20.00	13.37	10.00	20.00	15.00	20.00
to:TO	10.00	20.00	20.00	10.00	20.00	10.00
track_down:VB	20.00	13.86	0.00	20.00	14.02	20.00
the:DT	0.00	20.00	20.00	0.00	20.00	10.00
perpetrators:NNS	20.00	9.76	14.02	20.00	0.00	19.30
.:.	10.00	19.88	20.00	10.00	19.30	0.00
NO_WORD	1.00	10.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -4.0000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "administration" <-nsubj-- "managed vs. hyp "administration" <-nsubj-- "tracked_down", which aligned to text "track_down" args have different parents but same relations: text "." <-punct-- "managed vs. hyp "." <-punct-- "tracked_down", which aligned to text "track_down"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: -68

Txt: The administration managed to track down the perpetrators.

Hyp: The administration did not track down the perpetrators. (Don't know.)

	The DT	administration NN	did VBD	not RB	track_down VB	the DT	perpetrators NNS	. .
The:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
administration:NN	20.00	0.00	12.69	14.96	13.86	20.00	9.76	19.88
managed:VBD	20.00	13.37	1.52	19.96	10.00	20.00	15.00	20.00
to:TO	10.00	20.00	20.00	20.00	20.00	10.00	20.00	10.00
track_down:VB	20.00	13.86	7.72	19.96	0.00	20.00	14.02	20.00
the:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
perpetrators:NNS	20.00	9.76	14.73	14.96	14.02	20.00	0.00	19.30
.:.	10.00	19.88	17.99	20.00	20.00	10.00	19.30	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -14.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "track_down": neg; NullPunisher.other: not; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "administration" <-nsubj-- "managed vs. hyp "administration" <-nsubj-- "track_down", which aligned to text "track_down" args have different parents but same relations: text "." <-punct-- "managed vs. hyp "." <-punct-- "track_down", which aligned to text "track_down"
Hand-tuned score: -8.0500
Threshold: -3.3437

Inference ID: 69

Txt: The administration didn't manage to track down the perpetrators.

Hyp: The administration tracked down the perpetrators. (Don't know.)

	The DT	administration NN	tracked_down VBD	the DT	perpetrators NNS	. .
The:DT	0.00	20.00	20.00	0.00	20.00	10.00
administration:NN	20.00	0.00	13.86	20.00	9.76	19.88
did:VBD	20.00	12.69	7.72	20.00	14.73	17.99
n't:RB	20.00	14.96	19.96	20.00	13.39	17.90
manage:VB	20.00	15.00	10.00	20.00	14.77	19.98
to:TO	10.00	20.00	20.00	10.00	20.00	10.00
track_down:VB	20.00	13.86	0.00	20.00	14.02	20.00
the:DT	0.00	20.00	20.00	0.00	20.00	10.00
perpetrators:NNS	20.00	9.76	14.02	20.00	0.00	19.30
.:.	10.00	19.88	20.00	10.00	19.30	0.00
NO_WORD	1.00	10.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -4.0000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "administration" <-nsubj-- "manage vs. hyp "administration" <-nsubj-- "tracked_down", which aligned to text "track_down" args have different parents but same relations: text "." <-punct-- "manage vs. hyp "." <-punct-- "tracked_down", which aligned to text "track_down"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: -69

Txt: The administration didn't manage to track down the perpetrators.

Hyp: The administration did not track down the perpetrators. (Yes.)

	The DT	administration NN	did VBD	not RB	track_down VB	the DT	perpetrators NNS	. .
The:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
administration:NN	20.00	0.00	12.69	14.96	13.86	20.00	9.76	19.88
did:VBD	20.00	12.69	0.00	19.96	7.72	20.00	14.73	17.99
n't:RB	20.00	14.96	13.27	0.50	19.96	20.00	13.39	17.90
manage:VB	20.00	15.00	1.52	19.96	10.00	20.00	14.77	19.98
to:TO	10.00	20.00	20.00	20.00	20.00	10.00	20.00	10.00
track_down:VB	20.00	13.86	7.72	19.96	0.00	20.00	14.02	20.00
the:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
perpetrators:NNS	20.00	9.76	14.73	14.96	14.02	20.00	0.00	19.30
.:.	10.00	19.88	17.99	20.00	20.00	10.00	19.30	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -7.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "track_down": neg; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "administration" <-nsubj-- "manage vs. hyp "administration" <-nsubj-- "track_down", which aligned to text "track_down" args have different parents but same relations: text "n't" <-neg-- "manage vs. hyp "not" <-neg-- "track_down", which aligned to text "track_down" args have different parents but same relations: text "." <-punct-- "manage vs. hyp "." <-punct-- "track_down", which aligned to text "track_down"
Hand-tuned score: -7.0500
Threshold: -3.3437

Inference ID: 70

Txt: Bush didn't have the time to read the report.

Hyp: Bush read the report. (Don't know.)

	Bush NNP	read VBP	the DT	report NN	. .
Bush:NNP	0.00	13.95	20.00	10.00	20.00
did:VBD	15.00	6.81	20.00	12.69	17.99
n't:RB	14.96	18.98	20.00	14.01	17.90
have:VB	13.05	1.00	20.00	12.80	20.00
the:DT	20.00	20.00	0.00	20.00	10.00
time:NN	10.00	12.32	20.00	6.89	17.52
to:TO	20.00	20.00	10.00	20.00	10.00
read:VB	13.95	0.00	20.00	11.87	18.96
the:DT	20.00	20.00	0.00	20.00	10.00
report:NN	10.00	11.87	20.00	0.00	19.87
.:.	20.00	18.96	10.00	19.87	0.00
NO_WORD	10.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -4.0000
Features matched: Factive.inNegatedEmbedding: embedded negative text; Structure.argsMismatch: args have different parents but same relations: text "Bush" <-nsubj-- "have vs. hyp "Bush" <-nsubj-- "read", which aligned to text "read" args have different parents but same relations: text "." <-punct-- "have vs. hyp "." <-punct-- "read", which aligned to text "read"
Hand-tuned score: -7.0000
Threshold: -3.3437

Inference ID: -70

Txt: Bush didn't have the time to read the report.

Hyp: Bush did not read the report. (Yes.)

	Bush NNP	did VBD	not RB	read VB	the DT	report NN	. .
Bush:NNP	0.00	15.00	14.96	13.95	20.00	10.00	20.00
did:VBD	15.00	0.00	19.96	6.81	20.00	12.69	17.99
n't:RB	14.96	13.27	0.50	18.98	20.00	14.01	17.90
have:VB	13.05	7.32	19.96	1.00	20.00	12.80	20.00
the:DT	20.00	20.00	20.00	20.00	0.00	20.00	10.00
time:NN	10.00	11.26	14.96	12.32	20.00	6.89	17.52
to:TO	20.00	20.00	20.00	20.00	10.00	20.00	10.00
read:VB	13.95	6.81	19.96	0.00	20.00	11.87	18.96
the:DT	20.00	20.00	20.00	20.00	0.00	20.00	10.00
report:NN	10.00	12.69	14.96	11.87	20.00	0.00	19.87
.:.	20.00	17.99	20.00	18.96	10.00	19.87	0.00
NO_WORD	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -7.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.inNegatedEmbedding: embedded negative text; Polarity.hypNegMarker: "read": neg; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "Bush" <-nsubj-- "have vs. hyp "Bush" <-nsubj-- "read", which aligned to text "read" args have different parents but same relations: text "n't" <-neg-- "have vs. hyp "not" <-neg-- "read", which aligned to text "read" args have different parents but same relations: text "." <-punct-- "have vs. hyp "." <-punct-- "read", which aligned to text "read"
Hand-tuned score: -12.0500
Threshold: -3.3437

Inference ID: 71

Txt: Bush had the time to read the report.

Hyp: Bush read the report. (Yes.)

	Bush NNP	read VBP	the DT	report NN	. .
Bush:NNP	0.00	13.95	20.00	10.00	20.00
had:VBD	13.05	5.95	20.00	12.80	20.00
the:DT	20.00	20.00	0.00	20.00	10.00
time:NN	10.00	12.32	20.00	6.89	17.52
to:TO	20.00	20.00	10.00	20.00	10.00
read:VB	13.95	0.00	20.00	11.87	18.96
the:DT	20.00	20.00	0.00	20.00	10.00
report:NN	10.00	11.87	20.00	0.00	19.87
.:.	20.00	18.96	10.00	19.87	0.00
NO_WORD	10.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -4.0000
Features matched: Factive.inPositiveEmbedding: embedded positive text; Structure.argsMismatch: args have different parents but same relations: text "Bush" <-nsubj-- "had vs. hyp "Bush" <-nsubj-- "read", which aligned to text "read" args have different parents but same relations: text "." <-punct-- "had vs. hyp "." <-punct-- "read", which aligned to text "read"
Hand-tuned score: -1.0000
Threshold: -3.3437

Inference ID: -71

Txt: Bush had the time to read the report.

Hyp: Bush did not read the report. (Don't know.)

	Bush NNP	did VBD	not RB	read VB	the DT	report NN	. .
Bush:NNP	0.00	15.00	14.96	13.95	20.00	10.00	20.00
had:VBD	13.05	7.32	19.96	5.95	20.00	12.80	20.00
the:DT	20.00	20.00	20.00	20.00	0.00	20.00	10.00
time:NN	10.00	11.26	14.96	12.32	20.00	6.89	17.52
to:TO	20.00	20.00	20.00	20.00	10.00	20.00	10.00
read:VB	13.95	6.81	19.96	0.00	20.00	11.87	18.96
the:DT	20.00	20.00	20.00	20.00	0.00	20.00	10.00
report:NN	10.00	12.69	14.96	11.87	20.00	0.00	19.87
.:.	20.00	17.99	20.00	18.96	10.00	19.87	0.00
NO_WORD	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -14.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Factive.inPositiveEmbedding: embedded positive text; Polarity.hypNegMarker: "read": neg; NullPunisher.aux: did; NullPunisher.other: not; Structure.argsMismatch: args have different parents but same relations: text "Bush" <-nsubj-- "had vs. hyp "Bush" <-nsubj-- "read", which aligned to text "read" args have different parents but same relations: text "." <-punct-- "had vs. hyp "." <-punct-- "read", which aligned to text "read"
Hand-tuned score: -7.0500
Threshold: -3.3437

Inference ID: 72

Txt: The president wasn't able to attend the meeting.

Hyp: The president attended the meeting. (Don't know.)

	The DT	president NN	attended VBD	the DT	meeting NN	. .
The:DT	0.00	20.00	20.00	0.00	20.00	10.00
president:NN	20.00	0.00	14.56	20.00	8.35	20.00
was:VBD	20.00	14.34	10.00	20.00	12.52	20.00
n't:RB	20.00	14.96	19.96	20.00	14.96	17.90
able:JJ	20.00	11.96	11.96	20.00	11.96	17.24
to:TO	10.00	20.00	20.00	10.00	20.00	10.00
attend:VB	20.00	14.16	0.50	20.00	11.65	19.67
the:DT	0.00	20.00	20.00	0.00	20.00	10.00
meeting:NN	20.00	8.35	11.39	20.00	0.00	19.92
.:.	10.00	20.00	19.97	10.00	19.92	0.00
NO_WORD	1.00	10.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -4.5000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "president" <-nsubj-- "able vs. hyp "president" <-nsubj-- "attended", which aligned to text "attend" args have different parents but same relations: text "." <-punct-- "able vs. hyp "." <-punct-- "attended", which aligned to text "attend"
Hand-tuned score: -2.0000
Threshold: -3.3437

Inference ID: -72

Txt: The president wasn't able to attend the meeting.

Hyp: The president did not attend the meeting. (Yes.)

	The DT	president NN	did VBD	not RB	attend VB	the DT	meeting NN	. .
The:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
president:NN	20.00	0.00	15.00	14.96	14.16	20.00	8.35	20.00
was:VBD	20.00	14.34	10.00	19.96	10.00	20.00	12.52	20.00
n't:RB	20.00	14.96	13.27	0.50	18.46	20.00	14.96	17.90
able:JJ	20.00	11.96	11.55	11.96	10.38	20.00	11.96	17.24
to:TO	10.00	20.00	20.00	20.00	20.00	10.00	20.00	10.00
attend:VB	20.00	14.16	8.17	19.96	0.00	20.00	11.65	19.67
the:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
meeting:NN	20.00	8.35	12.69	14.96	11.65	20.00	0.00	19.92
.:.	10.00	20.00	17.99	20.00	19.67	10.00	19.92	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -7.5000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "attend": neg; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "president" <-nsubj-- "able vs. hyp "president" <-nsubj-- "attend", which aligned to text "attend" args have different parents but same relations: text "n't" <-neg-- "able vs. hyp "not" <-neg-- "attend", which aligned to text "attend" args have different parents but same relations: text "." <-punct-- "able vs. hyp "." <-punct-- "attend", which aligned to text "attend"
Hand-tuned score: -7.0500
Threshold: -3.3437

Inference ID: 73

Txt: The president was able to attend to meeting.

Hyp: The president attended the meeting. (Yes.)

	The DT	president NN	attended VBD	the DT	meeting NN	. .
The:DT	0.00	20.00	20.00	0.00	20.00	10.00
president:NN	20.00	0.00	14.56	20.00	8.35	20.00
was:VBD	20.00	14.34	10.00	20.00	12.52	20.00
able:JJ	20.00	11.96	11.96	20.00	11.96	17.24
to:TO	10.00	20.00	20.00	10.00	20.00	10.00
attend:VB	20.00	14.16	0.50	20.00	11.65	19.67
meeting:NN	20.00	8.35	11.39	20.00	0.00	19.92
.:.	10.00	20.00	19.97	10.00	19.92	0.00
NO_WORD	1.00	10.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -7.5000
Features matched: NullPunisher.article: the; Structure.argsMismatch: args have different parents but same relations: text "president" <-nsubj-- "able vs. hyp "president" <-nsubj-- "attended", which aligned to text "attend" args have different parents but same relations: text "." <-punct-- "able vs. hyp "." <-punct-- "attended", which aligned to text "attend" text "meeting" is prep_to of "attend" while hyp "meeting" is dobj of "attended" which aligned to text "attend"
Hand-tuned score: -2.1000
Threshold: -3.3437

Inference ID: -73

Txt: The president was able to attend to meeting.

Hyp: The president did not attend the meeting. (Don't know.)

	The DT	president NN	did VBD	not RB	attend VB	the DT	meeting NN	. .
The:DT	0.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00
president:NN	20.00	0.00	15.00	14.96	14.16	20.00	8.35	20.00
was:VBD	20.00	14.34	10.00	19.96	10.00	20.00	12.52	20.00
able:JJ	20.00	11.96	11.55	11.96	10.38	20.00	11.96	17.24
to:TO	10.00	20.00	20.00	20.00	20.00	10.00	20.00	10.00
attend:VB	20.00	14.16	8.17	19.96	0.00	20.00	11.65	19.67
meeting:NN	20.00	8.35	12.69	14.96	11.65	20.00	0.00	19.92
.:.	10.00	20.00	17.99	20.00	19.67	10.00	19.92	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -17.0000
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "attend": neg; NullPunisher.aux: did; NullPunisher.other: not; NullPunisher.article: the; Structure.argsMismatch: args have different parents but same relations: text "president" <-nsubj-- "able vs. hyp "president" <-nsubj-- "attend", which aligned to text "attend" args have different parents but same relations: text "." <-punct-- "able vs. hyp "." <-punct-- "attend", which aligned to text "attend" text "meeting" is prep_to of "attend" while hyp "meeting" is dobj of "attend" which aligned to text "attend"
Hand-tuned score: -8.1500
Threshold: -3.3437

Inference ID: 74

Txt: Many soldiers were killed in the ambush.

Hyp: All soldiers were killed in the ambush. (Don't know.)

	All DT	soldiers NNS	were VBD	killed VBN	the DT	ambush NN	. .
Many:JJ	20.00	11.96	11.96	11.96	20.00	11.96	20.00
soldiers:NNS	20.00	0.00	14.34	9.33	20.00	4.63	20.00
were:VBD	20.00	14.34	0.00	8.33	20.00	15.00	20.00
killed:VBN	20.00	9.33	8.33	0.00	20.00	9.69	20.00
the:DT	10.00	20.00	20.00	20.00	0.00	20.00	10.00
ambush:NN	20.00	4.63	15.00	9.69	20.00	0.00	20.00
.:.	10.00	20.00	20.00	20.00	10.00	20.00	0.00
NO_WORD	10.00	10.00	1.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -10.0000
Features matched: Adjunct.dropPosCxt: text adjunct "Many" of "soldiers" dropped on aligned hyp word "soldiers"; NullPunisher.other: All; Quant.expand: [many,all]
Hand-tuned score: -6.5000
Threshold: -3.3437

Inference ID: -74

Txt: Many soldiers were killed in the ambush.

Hyp: Not all soldiers were killed in the ambush. (Yes.)

	Not RB	all DT	soldiers NNS	were VBD	killed VBN	the DT	ambush NN	. .
Many:JJ	11.96	20.00	11.96	11.96	11.96	20.00	11.96	20.00
soldiers:NNS	14.96	20.00	0.00	14.34	9.33	20.00	4.63	20.00
were:VBD	19.96	20.00	14.34	0.00	8.33	20.00	15.00	20.00
killed:VBN	19.96	20.00	9.33	8.33	0.00	20.00	9.69	20.00
the:DT	20.00	10.00	20.00	20.00	20.00	0.00	20.00	10.00
ambush:NN	14.96	20.00	4.63	15.00	9.69	20.00	0.00	20.00
.:.	20.00	10.00	20.00	20.00	20.00	10.00	20.00	0.00
NO_WORD	9.00	10.00	10.00	1.00	10.00	1.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -19.0000
Features matched: Adjunct.addPosCxt: hyp added Not[Not-RB]; Adjunct.dropPosCxt: text adjunct "Many" of "soldiers" dropped on aligned hyp word "soldiers"; NullPunisher.other: Not; NullPunisher.other: all; Quant.expand: [many,all]
Hand-tuned score: -8.5000
Threshold: -3.3437

Inference ID: 75

Txt: The man had $20 in his pocket.

Hyp: The man had $40 in his pocket. (Don't know.)

	The DT	man NN	had VBD	$ $	40 CD	his PRP$	pocket NN	. .
The:DT	0.00	20.00	20.00	10.50	20.50	20.00	20.00	10.00
man:NN	20.00	0.00	13.05	18.93	20.50	12.00	6.78	19.76
had:VBD	20.00	13.05	0.00	20.50	20.50	15.00	13.95	20.00
$:$	10.50	18.93	20.50	0.00	20.00	20.50	17.92	9.91
20:CD	20.50	20.50	20.50	20.00	0.69	20.50	19.19	19.23
his:PRP$	20.00	12.00	15.00	20.50	20.50	0.00	12.00	20.00
pocket:NN	20.00	6.78	13.95	17.92	19.19	12.00	0.00	18.62
.:.	10.00	19.76	20.00	9.91	18.57	20.00	18.62	0.00
NO_WORD	1.00	10.00	10.00	10.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -0.6931
Features matched: Numeric.mismatch: MONEY mismatch: '$40.0' vs '$20.0'
Hand-tuned score: -5.0000
Threshold: -3.3437

Inference ID: -75

Txt: The man had $20 in his pocket.

Hyp: The man did not have $40 in his pocket. (Yes.)

	The DT	man NN	did VBD	not RB	have VB	$ $	40 CD	his PRP$	pocket NN	. .
The:DT	0.00	20.00	20.00	20.00	20.00	10.50	20.50	20.00	20.00	10.00
man:NN	20.00	0.00	12.63	14.96	13.05	18.93	20.50	12.00	6.78	19.76
had:VBD	20.00	13.05	7.32	19.96	0.50	20.50	20.50	15.00	13.95	20.00
$:$	10.50	18.93	20.50	20.50	20.50	0.00	20.00	20.50	17.92	9.91
20:CD	20.50	20.50	19.19	20.46	20.50	20.00	0.69	20.50	19.19	19.23
his:PRP$	20.00	12.00	15.00	20.00	15.00	20.50	20.50	0.00	12.00	20.00
pocket:NN	20.00	6.78	12.53	14.96	13.95	17.92	19.19	12.00	0.00	18.62
.:.	10.00	19.76	17.99	20.00	20.00	9.91	18.57	20.00	18.62	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -11.1931
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "have": neg; NullPunisher.other: not; NullPunisher.aux: did; Numeric.mismatch: MONEY mismatch: '$40.0' vs '$20.0'
Hand-tuned score: -11.0500
Threshold: -3.3437

Inference ID: 76

Txt: The man had $20 in his pocket.

Hyp: The man had $10 in his pocket. (Yes.)

	The DT	man NN	had VBD	$ $	10 CD	his PRP$	pocket NN	. .
The:DT	0.00	20.00	20.00	10.50	20.50	20.00	20.00	10.00
man:NN	20.00	0.00	13.05	18.93	20.50	12.00	6.78	19.76
had:VBD	20.00	13.05	0.00	20.50	20.50	15.00	13.95	20.00
$:$	10.50	18.93	20.50	0.00	20.00	20.50	17.92	9.91
20:CD	20.50	20.50	20.50	20.00	0.69	20.50	19.19	19.23
his:PRP$	20.00	12.00	15.00	20.50	20.50	0.00	12.00	20.00
pocket:NN	20.00	6.78	13.95	17.92	19.19	12.00	0.00	18.62
.:.	10.00	19.76	20.00	9.91	19.16	20.00	18.62	0.00
NO_WORD	1.00	10.00	10.00	10.00	10.00	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -0.6931
Features matched: Numeric.mismatch: MONEY mismatch: '$10.0' vs '$20.0'
Hand-tuned score: -5.0000
Threshold: -3.3437

Inference ID: -76

Txt: The man had $20 in his pocket.

Hyp: The man did not have $10 in his pocket. (Don't know.)

	The DT	man NN	did VBD	not RB	have VB	$ $	10 CD	his PRP$	pocket NN	. .
The:DT	0.00	20.00	20.00	20.00	20.00	10.50	20.50	20.00	20.00	10.00
man:NN	20.00	0.00	12.63	14.96	13.05	18.93	20.50	12.00	6.78	19.76
had:VBD	20.00	13.05	7.32	19.96	0.50	20.50	20.50	15.00	13.95	20.00
$:$	10.50	18.93	20.50	20.50	20.50	0.00	20.00	20.50	17.92	9.91
20:CD	20.50	20.50	19.19	20.46	20.50	20.00	0.69	20.50	19.19	19.23
his:PRP$	20.00	12.00	15.00	20.00	15.00	20.50	20.50	0.00	12.00	20.00
pocket:NN	20.00	6.78	12.53	14.96	13.95	17.92	19.19	12.00	0.00	18.62
.:.	10.00	19.76	17.99	20.00	20.00	9.91	19.16	20.00	18.62	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00	10.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -11.1931
Features matched: Adjunct.diffPol: hyp and txt have different polarity; Polarity.hypNegMarker: "have": neg; NullPunisher.aux: did; NullPunisher.other: not; Numeric.mismatch: MONEY mismatch: '$10.0' vs '$20.0'
Hand-tuned score: -11.0500
Threshold: -3.3437

Word similarity table built on Thu Jul 06 10:25:56 PDT 2006 using command:

java edu.stanford.nlp.rte.WordSimilarityGenerator -info /u/nlp/rte/data/byformat/align/stochastic/parc_predev.pipeline.align.xml -output /u/nlp/rte/data/byformat/wordsim/stochastic/parc_predev.pipeline.wordsim.html -lex.BasicWN off