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: PARC-1

Txt: Some students came to school by car.

Hyp: Some students did come to school . (yes)

Some
DT
students
NNS
did
VBD
come
VBN
school
NN
.
.
Some:DT   0.00 20.00 20.00 15.00 20.00 10.00
students:NNS 20.00   0.00 14.74 15.00   0.75 20.00
came:VBD 20.00 15.00   4.19   0.50 12.45 17.90
school:NN 20.00   0.75 10.44 12.45   0.00 19.99
car:NN 20.00   8.95 12.91 14.56   7.06 19.69
.:. 10.00 20.00 17.99 18.30 19.99   0.00
NO_WORD 10.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -1.5000
Features matched: Adjunct.dropPosCxt: text adjunct "car" of "came" dropped on aligned hyp word "come"; NullPunisher.aux: did; Quant.contract: [some,some]; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 2.9500
Threshold: -11.4590


Inference ID: PARC-2

Txt: No students came to school by car.

Hyp: Some students did come to school . (unknown)

Some
DT
students
NNS
did
VBD
come
VBN
school
NN
.
.
No:DT 10.00 20.00 20.00 20.00 20.00 10.00
students:NNS 20.00   0.00 14.74 15.00   0.75 20.00
came:VBD 20.00 15.00   4.19   0.50 12.45 17.90
school:NN 20.00   0.75 10.44 12.45   0.00 19.99
car:NN 20.00   8.95 12.91 14.56   7.06 19.69
.:. 10.00 20.00 17.99 18.30 19.99   0.00
NO_WORD 10.00 10.00   1.00 10.00 10.00 10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -11.5000
Features matched: Adjunct.dropPosCxt: text adjunct "car" of "came" dropped on aligned hyp word "come"; Antonym.samePol: matching polarity with antonyms: Some & No; NullPunisher.aux: did; Quant.oneNo: [no,some[
Hand-tuned score: -12.5500
Threshold: -11.4590


Inference ID: PARC-3

Txt: Ed drove legally.

Hyp: Ed did drive . (yes)

Ed
NNP
did
VBD
drive
NN
.
.
Ed:NNP   0.00 15.00   3.90 20.00
drove:VBD 15.00   8.93   0.50 18.77
legally:RB 14.96 17.86 14.50 19.03
.:. 20.00 17.99 19.58   0.00
NO_WORD 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -11.4320
Features matched: Adjunct.dropPosCxt: text adjunct "legally" of "drove" dropped on aligned hyp word "drive"; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "drove"
Hand-tuned score: -0.5000
Threshold: -11.4590


Inference ID: PARC-4

Txt: Ed drove predictably.

Hyp: Ed did drive . (yes)

Ed
NNP
did
VBD
drive
NN
.
.
Ed:NNP   0.00 15.00   3.90 20.00
drove:VBD 15.00   8.93   0.50 18.77
predictably:RB 14.96 19.17 14.68 20.00
.:. 20.00 17.99 19.58   0.00
NO_WORD 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -11.4320
Features matched: Adjunct.dropPosCxt: text adjunct "predictably" of "drove" dropped on aligned hyp word "drive"; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "drove"
Hand-tuned score: -0.5000
Threshold: -11.4590


Inference ID: PARC-5

Txt: Legally, Ed could drive.

Hyp: Ed did drive . (unknown)

Ed
NNP
did
VBD
drive
NN
.
.
Legally:RB 14.96 19.96 14.96 20.00
,:, 20.00 19.80 19.25   5.73
Ed:NNP   0.00 15.00   3.90 20.00
could:MD 19.96 17.84 19.96 10.00
drive:VB   8.90   6.26   0.00 19.58
.:. 20.00 17.99 19.58   0.00
NO_WORD 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -8.2597
Features matched: Adjunct.dropPosCxt: text adjunct "Legally" of "drive" dropped on aligned hyp word "drive"; Modal.dontKnow: possible -> actual; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "drive"
Hand-tuned score: -2.5000
Threshold: -11.4590


Inference ID: PARC-6

Txt: Predictably, Ed drove.

Hyp: Ed did drive . (yes)

Ed
NNP
did
VBD
drive
NN
.
.
Predictably:RB 14.96 19.96 14.96 20.00
,:, 20.00 19.80 19.25   5.73
Ed:NNP   0.00 15.00   3.90 20.00
drove:VBD 15.00   8.93   0.50 18.77
.:. 20.00 17.99 19.58   0.00
NO_WORD 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -11.4320
Features matched: Adjunct.dropPosCxt: text adjunct "Predictably" of "drove" dropped on aligned hyp word "drive"; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "drove"
Hand-tuned score: -0.5000
Threshold: -11.4590


Inference ID: PARC-7

Txt: The technician cooled the room.

Hyp: The technician did lower the temperature of the room . (yes)

The
DT
technician
NN
did
VBD
lower
JJR
the
DT
temperature
NN
the
DT
room
NN
.
.
The:DT   0.00 20.00 20.00 20.00   0.00 20.00   0.00 20.00 10.00
technician:NN 20.00   0.00 12.84 10.95 20.00   8.15 20.00   8.71 20.00
cooled:VBD 20.00 13.08   7.53   9.62 20.00   9.59 20.00 13.15 19.82
the:DT   0.00 20.00 20.00 20.00   0.00 20.00   0.00 20.00 10.00
room:NN 20.00   8.71 13.03   8.31 20.00   6.97 20.00   0.00 19.15
.:. 10.00 20.00 17.99 19.18 10.00 20.00 10.00 19.15   0.00
NO_WORD   1.00 10.00 10.00   9.00   1.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -25.4975
Features matched: Adjunct.addPosCxt: hyp added lower[lower-JJR]; NullPunisher.other: lower; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "cooled"
Hand-tuned score: -3.0000
Threshold: -11.4590


Inference ID: PARC-8

Txt: The technician raised the temperature of the room.

Hyp: The technician did cool the room . (no)

The
DT
technician
NN
did
VBD
cool
VB
the
DT
room
NN
.
.
The:DT   0.00 20.00 20.00 20.00   0.00 20.00 10.00
technician:NN 20.00   0.00 12.84 13.08 20.00   8.71 20.00
raised:VBD 20.00 13.95   5.44   6.95 20.00 13.69 20.00
the:DT   0.00 20.00 20.00 20.00   0.00 20.00 10.00
temperature:NN 20.00   8.15 12.53   9.59 20.00   6.97 20.00
the:DT   0.00 20.00 20.00 20.00   0.00 20.00 10.00
room:NN 20.00   8.71 13.03 11.00 20.00   0.00 19.15
.:. 10.00 20.00 17.99 20.00 10.00 19.15   0.00
NO_WORD   1.00 10.00   1.00 10.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -9.9537
Features matched: NullPunisher.aux: did; 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: -4.0500
Threshold: -11.4590


Inference ID: PARC-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: -11.4590


Inference ID: PARC-10

Txt: Jones has visited Iraq.

Hyp: Jones did visit Iraq in September . (unknown)

Jones
NNP
did
VBD
visit
VB
Iraq
NNP
September
NNP
.
.
Jones:NNP   0.00 15.50 15.50 14.34 15.00 20.50
has:VBZ 14.84   7.53 10.00 13.02 14.19 20.00
visited:VBN 15.50   7.62   0.31 15.50 15.50 19.78
Iraq:NNP 14.34 15.50 15.50   0.00 15.00 20.50
.:. 20.50 17.99 20.00 20.50 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -11.3094
Features matched: Adjunct.addPosCxt: hyp added September[September-NNP]; Date.hypDateIns: hypothesis date insertion: September; NullPunisher.aux: did; NullPunisher.other: September
Hand-tuned score: -3.0500
Threshold: -11.4590


Inference ID: PARC-11

Txt: Jones arrived in Paris in September last year.

Hyp: Jones did arrive in Paris last year . (yes)

Jones
NNP
did
VBD
arrive
VB
Paris
NNP
last
JJ
year
NN
.
.
Jones:NNP   0.50 15.00 15.00   9.84 11.45 10.50 20.00
arrived:VBD 15.50   7.47   0.50 15.50 12.50 15.28 20.00
Paris:NNP 14.34 15.50 15.50   0.00 16.34 13.13 20.50
September:NNP 15.00 14.19 15.50 15.00   9.84   7.23 20.50
last:JJ 15.95 10.19 12.50 16.34   0.00   9.84 20.50
year:NN 15.00 14.19 15.50 13.13   9.84   0.00 17.60
.:. 20.50 17.99 20.00 20.50 20.50 17.60   0.00
NO_WORD 10.00   1.00 10.00 10.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
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; NullPunisher.aux: did
Hand-tuned score: 2.4500
Threshold: -11.4590


Inference ID: PARC-12

Txt: Jones arrived in Paris in September last year.

Hyp: Jones did arrive in Paris in September . (unknown)

Jones
NNP
did
VBD
arrive
VB
Paris
NNP
September
NNP
.
.
Jones:NNP   0.50 15.00 15.00   9.84 10.50 20.00
arrived:VBD 15.50   7.47   0.50 15.50 15.50 20.00
Paris:NNP 14.34 15.50 15.50   0.00 15.00 20.50
September:NNP 15.00 14.19 15.50 15.00   0.00 20.50
last:JJ 15.95 10.19 12.50 16.34   9.84 20.50
year:NN 15.00 14.19 15.50 13.13   7.23 17.60
.:. 20.50 17.99 20.00 20.50 20.50   0.00
NO_WORD 10.00   1.00 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 "arrive"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 09/01/1000; NullPunisher.aux: did
Hand-tuned score: 2.4500
Threshold: -11.4590


Inference ID: PARC-13

Txt: Jones arrived on a Sunday in September.

Hyp: Jones did arrive on a Sunday . (yes)

Jones
NNP
did
VBD
arrive
VB
a
DT
Sunday
NNP
.
.
Jones:NNP   0.50 15.00 15.00 20.00 10.50 20.00
arrived:VBD 15.50   7.47   0.50 20.00 15.50 20.00
a:DT 20.50 20.00 20.00   0.00 20.50 10.00
Sunday:NNP 15.00 10.20 15.50 20.50   0.00 20.50
September:NNP 15.00 14.19 15.50 20.50   7.23 20.50
.:. 20.50 17.99 20.00 10.00 20.50   0.00
NO_WORD 10.00   1.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Adjunct.dropPosCxt: text adjunct "September" of "arrived" dropped on aligned hyp word "arrive"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; NullPunisher.aux: did; Quant.contract: [a,a]
Hand-tuned score: 3.4500
Threshold: -11.4590


Inference ID: PARC-14

Txt: Jones arrived on a Sunday in September.

Hyp: Jones did arrive in September . (yes)

Jones
NNP
did
VBD
arrive
VB
September
NNP
.
.
Jones:NNP   0.50 15.00 15.00 10.50 20.00
arrived:VBD 15.50   7.47   0.50 15.50 20.00
a:DT 20.50 20.00 20.00 20.50 10.00
Sunday:NNP 15.00 10.20 15.50   7.23 20.50
September:NNP 15.00 14.19 15.50   0.00 20.50
.:. 20.50 17.99 20.00 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.0000
Features matched: Adjunct.dropPosCxt: text adjunct "Sunday" of "arrived" dropped on aligned hyp word "arrive"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 09/01/1000; NullPunisher.aux: did
Hand-tuned score: 2.4500
Threshold: -11.4590


Inference ID: PARC-15

Txt: The president left after the diplomat arrived.

Hyp: The diplomat did arrive before the president left . (yes)

The
DT
diplomat
NN
did
VBD
arrive
VB
before
IN
the
DT
president
NN
left
VBD
.
.
The:DT   0.00 20.00 20.00 20.00 20.00   0.00 20.00 20.00 10.00
president:NN 20.00   3.94 15.00 14.47 20.00 20.00   0.00 13.35 20.00
left:VBD 20.00 14.34   7.37   9.62 20.00 20.00 13.35   0.00 19.46
after:IN 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   0.00 20.00 20.00 10.00
diplomat:NN 20.00   0.00 15.00 13.56 20.00 20.00   3.94 14.34 19.87
arrived:VBD 20.00 13.41   7.47   0.50 20.00 20.00 13.72   6.03 20.00
.:. 10.00 19.87 17.99 20.00 20.00 10.00 20.00 19.46   0.00
NO_WORD   1.00 10.00   1.00 10.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -7.5000
Features matched: 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: -2.0500
Threshold: -11.4590


Inference ID: PARC-16

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

Hyp: Jones , a US Congressman , has visited Iraq after the war ended . (no)

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 10.00 20.50 10.00 20.00 20.00 20.50 20.00 10.00 20.00 20.00 10.00
US:NNP 14.34 20.50 20.50   5.00 20.50 13.02 15.50   5.34 20.50 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 20.50   9.08 13.55 20.50
has:VBZ 14.84 20.00 20.00 14.26 20.00   0.00 10.00 13.02 20.00 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 20.00 12.10   7.62 19.78
Iraq:NNP 14.34 20.50 20.50 12.67 20.50 13.02 15.50   0.00 20.50 20.50 10.50 13.02 20.50
since:IN 20.50 20.00 20.00 20.50 20.00 20.00 20.00 20.50   0.00 20.00 20.00 20.00 20.00
the:DT 20.50 10.00 10.00 20.50 10.00 20.00 20.00 20.50 17.88   0.00 20.00 20.00 10.00
war:NN 10.50 20.00 20.00 10.46 20.00 15.00 12.10 10.50 20.00 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 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 10.00   1.00 10.00 10.00   1.00 10.00 10.00 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -33.4591
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[
Hand-tuned score: -5.6000
Threshold: -11.4590


Inference ID: PARC-17

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

Hyp: Jones , a US Congressman , did visit Iraq before the war . (unknown)

Jones
NNP
,
,
a
DT
US_Congressman
NNP
,
,
did
VBD
visit
VB
Iraq
NNP
the
DT
war
NN
.
.
No:DT 20.50 10.00 10.00 20.50 10.00 20.00 20.00 20.50 10.00 20.00 10.00
US:NNP 14.34 20.50 20.50   5.00 20.50 15.50 15.50   5.34 20.50 10.50 20.50
congressman:NN 10.19 19.74 20.50   5.00 19.74 14.41 15.50 14.34 20.50   9.08 20.50
has:VBZ 14.84 20.00 20.00 14.26 20.00   7.53 10.00 13.02 20.00 15.00 20.00
visited:VBN 15.50 19.44 20.00 15.46 19.44   7.62   0.31 15.50 20.00 12.10 19.78
Iraq:NNP 14.34 20.50 20.50 12.67 20.50 15.50 15.50   0.00 20.50 10.50 20.50
the:DT 20.50 10.00 10.00 20.50 10.00 20.00 20.00 20.50   0.00 20.00 10.00
war:NN 10.50 20.00 20.00 10.46 20.00 12.69 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 10.00   1.00 10.00 10.00   1.00 10.00 10.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -36.7685
Features matched: Adjunct.dropPosCxt: text adjunct "US" of "congressman" dropped on aligned hyp word "US_Congressman"; NullPunisher.aux: did; NullPunisher.other: Jones; NullPunisher.article: a; 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: -8.6500
Threshold: -11.4590


Inference ID: PARC-18

Txt: No US congressman visited Iraq until the war.

Hyp: Some US congressman did visit Iraq before the war . (no)

Some
DT
US
NNP
congressman
NN
did
VBD
visit
VB
Iraq
NNP
the
DT
war
NN
.
.
No:DT 10.00 20.50 20.00 20.00 20.00 20.50 10.00 20.00 10.00
US:NNP 20.50   0.00   9.84 15.50 15.50   5.34 20.50 10.50 20.50
congressman:NN 20.00   9.84   0.00 13.91 15.00   9.84 20.00   8.58 20.00
visited:VBD 20.00 15.50 14.82   7.62   0.31 15.50 20.00 12.10 19.78
Iraq:NNP 20.50   5.34   9.84 15.50 15.50   0.00 20.50 10.50 20.50
the:DT 10.00 20.50 20.00 20.00 20.00 20.50   0.00 20.00 10.00
war:NN 20.00 10.50   8.58 12.69 12.10 10.50 20.00   0.00 19.45
.:. 10.00 20.50 20.00 17.99 20.00 20.50 10.00 19.45   0.00
NO_WORD 10.00 10.00 10.00   1.00 10.00 10.00   1.00 10.00 10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -12.3094
Features matched: Antonym.samePol: matching polarity with antonyms: Some & No; NullPunisher.aux: did; Quant.oneNo: [no,some[; Structure.relMismatch: text "war" is prep_until of "visited" while hyp "war" is prep_before of "visit" which aligned to text "visited"
Hand-tuned score: -14.0500
Threshold: -11.4590


Inference ID: PARC-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: -11.4590


Inference ID: PARC-20

Txt: No students arrived at the school on Sunday.

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

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: yes (INCORRECT)
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: -11.4590


Inference ID: PARC-21

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

Hyp: Some students did arrive at the school on Sunday . (no)

Some
DT
students
NNS
did
VBD
arrive
VB
the
DT
school
NN
Sunday
NNP
.
.
There:EX 10.00 20.00 20.00 20.00 10.00 20.00 20.50 10.00
were:VBD 20.00 14.34   6.07 10.00 20.00 14.34 15.50 20.00
no:DT 10.00 20.00 20.00 20.00 10.00 20.00 20.50 10.00
students:NNS 20.00   0.00 14.74 14.49 20.00   0.75 10.50 20.00
the:DT 10.00 20.00 20.00 20.00   0.00 20.00 20.50 10.00
school:NN 20.00   0.75 10.44 15.00 20.00   0.00   7.73 19.99
Sunday:NNP 20.50 10.50 10.20 15.50 20.50   7.73   0.00 20.50
.:. 10.00 20.00 17.99 20.00 10.00 19.99 20.50   0.00
NO_WORD 10.00 10.00   1.00 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -23.0000
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; NullPunisher.other: Some; NullPunisher.aux: did; Quant.oneNo: [no,some[; RootEntailment.poorlyAlignedRoot: "arrive" aligned badly to "were"; Structure.argsMismatch: args have different parents but same relations: text "school" <-prep_at-- "students vs. hyp "school" <-prep_at-- "arrive", which aligned to text "were"
Hand-tuned score: -10.0500
Threshold: -11.4590


Inference ID: PARC-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: -11.4590


Inference ID: PARC-23

Txt: The diplomat will arrive in Baghdad next week.

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

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: -11.4590


Inference ID: PARC-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: yes (CORRECT)
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: -11.4590


Inference ID: PARC-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: yes (CORRECT)
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: -11.4590


Inference ID: PARC-26

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

Hyp: The president has been to Iraq . (unknown)

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: yes (INCORRECT)
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: -11.4590


Inference ID: PARC-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: yes (CORRECT)
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: -11.4590


Inference ID: PARC-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: yes (CORRECT)
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: -11.4590


Inference ID: PARC-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: -11.4590


Inference ID: PARC-30

Txt: The room was full of women.

Hyp: The room was full of intelligent women . (unknown)

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: -11.4590


Inference ID: PARC-31

Txt: Children are not admitted to the theatre.

Hyp: Small children are admitted to the theater . (no)

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: yes (INCORRECT)
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: -11.4590


Inference ID: PARC-32

Txt: Small children are not admitted to the theatre.

Hyp: Children are admitted to the theater . (unknown)

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: yes (INCORRECT)
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: -11.4590


Inference ID: PARC-33

Txt: All companies have to file annual reports.

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

All
DT
Fortune
JJ
500
CD
companies
NNS
do
VBP
have
VB
to
TO
file
VB
annual
JJ
reports
NNS
.
.
All:DT   0.00 20.00 20.50 20.00 20.00 20.00 10.00 20.00 20.00 20.00 10.00
companies:NNS 20.00   9.44 19.02   0.00 14.52 12.80 20.00 13.13 10.11   7.80 19.68
have:VBP 20.00 12.00 20.50 12.80   6.02   0.00 20.00   7.02 10.11 12.80 20.00
to:TO 10.00 20.00 20.50 20.00 20.00 20.00   0.00 20.00 20.00 20.00 10.00
file:VB 20.00 12.00 19.19 13.13   7.45   7.02 20.00   0.00 10.03 12.37 20.00
annual:JJ 20.00 10.00 19.41 10.11 12.00 10.11 20.00 10.03   0.00 10.23 20.00
reports:NNS 20.00 12.00 19.19   7.80 12.69 12.80 20.00 12.37 10.23   0.00 19.70
.:. 10.00 20.00 19.65 19.68 18.81 20.00 10.00 20.00 20.00 19.70   0.00
NO_WORD 10.00   9.00 10.00 10.00   1.00 10.00 10.00 10.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -20.0000
Features matched: Adjunct.addAllCxt: all cxt -- hyp adds 500[500-CD];, hyp added 500[500-CD]; Modal.weakYes: necessary -> necessary; NullPunisher.aux: do; NullPunisher.other: Fortune; NullPunisher.other: 500; Quant.contract: [all,all]
Hand-tuned score: 3.9500
Threshold: -11.4590


Inference ID: PARC-34

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

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

All
DT
companies
NNS
do
VBP
have
VB
to
TO
file
VB
annual
JJ
reports
NNS
.
.
All:DT   0.00 20.00 20.00 20.00 10.00 20.00 20.00 20.00 10.00
Fortune:JJ 20.00   9.44 12.00 12.00 20.00 12.00 10.00 12.00 20.00
500:CD 20.50 19.02 19.19 20.50 20.50 19.19 19.41 19.19 19.65
companies:NNS 20.00   0.00 14.52 12.80 20.00 13.13 10.11   7.80 19.68
have:VBP 20.00 12.80   6.02   0.00 20.00   7.02 10.11 12.80 20.00
to:TO 10.00 20.00 20.00 20.00   0.00 20.00 20.00 20.00 10.00
file:VB 20.00 13.13   7.45   7.02 20.00   0.00 10.03 12.37 20.00
annual:JJ 20.00 10.11 12.00 10.11 20.00 10.03   0.00 10.23 20.00
reports:NNS 20.00   7.80 12.69 12.80 20.00 12.37 10.23   0.00 19.70
.:. 10.00 19.68 18.81 20.00 10.00 20.00 20.00 19.70   0.00
NO_WORD 10.00 10.00   1.00 10.00 10.00 10.00   9.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -1.0000
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; NullPunisher.aux: do; Quant.contract: [all,all]
Hand-tuned score: -0.0500
Threshold: -11.4590


Inference ID: PARC-35

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

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

All
DT
companies
NNS
do
VBP
have
VB
to
TO
file
VB
annual
JJ
reports
NNS
.
.
All:DT   0.00 20.00 20.00 20.00 10.00 20.00 20.00 20.00 10.00
companies:NNS 20.00   0.00 14.52 12.80 20.00 13.13 10.11   7.80 19.68
have:VBP 20.00 12.80   6.02   0.00 20.00   7.02 10.11 12.80 20.00
to:TO 10.00 20.00 20.00 20.00   0.00 20.00 20.00 20.00 10.00
file:VB 20.00 13.13   7.45   7.02 20.00   0.00 10.03 12.37 20.00
annual:JJ 20.00 10.11 12.00 10.11 20.00 10.03   0.00 10.23 20.00
reports:NNS 20.00   7.80 12.69 12.80 20.00 12.37 10.23   0.00 19.70
the:DT 10.00 20.00 20.00 20.00 10.00 20.00 20.00 20.00 10.00
SEC:NNP 20.50   7.19 13.53 15.50 20.50 13.53 12.50   8.53 20.50
.:. 10.00 19.68 18.81 20.00 10.00 20.00 20.00 19.70   0.00
NO_WORD 10.00 10.00   1.00 10.00 10.00 10.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -1.0000
Features matched: Adjunct.dropPosCxt: text adjunct "SEC" of "file" dropped on aligned hyp word "file"; Modal.weakYes: necessary -> necessary; NullPunisher.aux: do; Quant.contract: [all,all]; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 3.9500
Threshold: -11.4590


Inference ID: PARC-36

Txt: All companies have to file annual reports.

Hyp: All companies do have to file annual reports to the SEC . (unknown)

All
DT
companies
NNS
do
VBP
have
VB
to
TO
file
VB
annual
JJ
reports
NNS
the
DT
SEC
NNP
.
.
All:DT   0.00 20.00 20.00 20.00 10.00 20.00 20.00 20.00 10.00 20.50 10.00
companies:NNS 20.00   0.00 14.52 12.80 20.00 13.13 10.11   7.80 20.00   7.19 19.68
have:VBP 20.00 12.80   6.02   0.00 20.00   7.02 10.11 12.80 20.00 15.50 20.00
to:TO 10.00 20.00 20.00 20.00   0.00 20.00 20.00 20.00 10.00 20.50 10.00
file:VB 20.00 13.13   7.45   7.02 20.00   0.00 10.03 12.37 20.00 13.53 20.00
annual:JJ 20.00 10.11 12.00 10.11 20.00 10.03   0.00 10.23 20.00 12.50 20.00
reports:NNS 20.00   7.80 12.69 12.80 20.00 12.37 10.23   0.00 20.00   8.53 19.70
.:. 10.00 19.68 18.81 20.00 10.00 20.00 20.00 19.70 10.00 20.50   0.00
NO_WORD 10.00 10.00   1.00 10.00 10.00 10.00   9.00 10.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -11.1929
Features matched: Modal.weakYes: necessary -> necessary; NullPunisher.article: the; NullPunisher.aux: do; Quant.contract: [all,all]; Quant.contract: [all,the]
Hand-tuned score: 3.8500
Threshold: -11.4590


Inference ID: PARC-37

Txt: No delegates finished the report.

Hyp: Some delegate did finish the report on_time . (no)

Some
DT
delegate
NN
did
VBD
finish
VB
the
DT
report
NN
on_time
NN
.
.
No:DT 10.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00
delegates:NNS 20.00   0.31 15.00 13.85 20.00   9.57   9.96 20.00
finished:VBD 20.00 14.18   5.51   0.50 20.00 11.89 12.66 18.93
the:DT 10.00 20.00 20.00 20.00   0.00 20.00 20.00 10.00
report:NN 20.00   9.11 12.69 11.89 20.00   0.00   8.45 19.87
.:. 10.00 20.00 17.99 18.26 10.00 19.87 20.00   0.00
NO_WORD 10.00 10.00   1.00 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -22.2555
Features matched: NullPunisher.other: Some; NullPunisher.aux: did; Quant.oneNo: [no,some[
Hand-tuned score: -6.0500
Threshold: -11.4590


Inference ID: PARC-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: -11.4590


Inference ID: PARC-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: -11.4590


Inference ID: PARC-40

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

Hyp: John did return from Spain . (yes)

John
NNP
did
VBD
return
NN
Spain
NNP
.
.
John:NNP   0.00 13.35   7.27 14.34 20.50
did:VBD 13.35   0.00 10.85 15.50 17.99
n't:RB 15.46 13.27 12.74 15.46 17.90
visit:VB 15.50   7.62 12.10 15.50 20.00
us:PRP 12.50 15.00 12.00 12.50 20.00
after:IN 20.50 20.00 20.00 20.50 20.00
he:PRP 12.50 15.00 12.00 12.50 20.00
returned:VBD 12.27   6.77   0.31 14.84 19.41
Spain:NNP 14.34 15.50   9.84   0.00 20.50
.:. 20.50 17.99 19.01 20.50   0.00
NO_WORD 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -8.3094
Features matched: Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "visit vs. hyp "John" <-nsubj-- "did", which aligned to text "did" args have different parents but same relations: text "Spain" <-prep_from-- "returned vs. hyp "Spain" <-prep_from-- "did", which aligned to text "did" args have different parents but same relations: text "." <-punct-- "visit vs. hyp "." <-punct-- "did", which aligned to text "did" args have different parents, different relations: text "returned" <-advcl-- "visit" vs. hyp "return" <-dobj-- "did", which aligned to text "did"
Hand-tuned score: -2.0000
Threshold: -11.4590


Inference ID: PARC-41

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

Hyp: Hanssen did sell FBI secrets to the Russians . (yes)

Hanssen
NNP
did
VBD
sell
VB
FBI
NNP
secrets
NNS
the
DT
Russians
NNPS
.
.
Hanssen:NNP   0.00 15.46 15.46 14.96 10.46 20.50 14.96 20.50
,:, 20.50 19.80 19.98 20.50 20.00 10.00 20.50   5.73
who:WP 12.50 15.00 15.00 12.50 12.00 20.00 12.50 20.00
sold:VBD 15.46   7.69   0.50 15.50 13.55 20.00 15.50 19.42
FBI:NNP 14.96 15.50 15.50   0.00 10.50 20.50 15.00 20.50
secrets:NNS 10.46 12.85 14.18 10.50   0.00 20.00   8.35 20.00
the:DT 20.50 20.00 20.00 20.50 20.00   0.00 20.50 10.00
Russians:NNPS 14.96 13.35 15.50 15.00   8.35 20.50   0.00 20.50
,:, 20.50 19.80 19.98 20.50 20.00 10.00 20.50   5.73
could:MD 20.46 17.84 19.96 20.46 19.96 10.00 20.46 10.00
face:VB 15.46   4.55   8.07 15.50 12.44 20.00 13.35 17.99
the:DT 20.50 20.00 20.00 20.50 20.00   0.00 20.50 10.00
death_penalty:NN 10.46 12.69 12.10 10.50   8.72 20.00   9.84 20.00
.:. 20.50 17.99 19.05 20.50 20.00 10.00 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -3.5000
Features matched: 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-- "face vs. hyp "." <-punct-- "sell", which aligned to text "sold"
Hand-tuned score: -2.0500
Threshold: -11.4590


Inference ID: PARC-42

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

Hyp: Hanssen did sell FBI secrets to the Russians . (yes)

Hanssen
NNP
did
VBD
sell
VB
FBI
NNP
secrets
NNS
the
DT
Russians
NNPS
.
.
The:DT 20.50 20.00 20.00 20.50 20.00   0.00 20.50 10.00
New_York_Times:NNPS 14.96 14.84 14.68   8.91   9.84 20.50 14.34 20.50
reported:VBD 15.46   7.69   7.69 15.50 11.05 20.00 13.35 19.71
that:IN 20.50 20.00 20.00 20.50 20.00 20.00 20.50 20.00
Hanssen:NNP   0.00 15.46 15.46 14.96 10.46 20.50 14.96 20.50
,:, 20.50 19.80 19.98 20.50 20.00 10.00 20.50   5.73
who:WP 12.50 15.00 15.00 12.50 12.00 20.00 12.50 20.00
sold:VBD 15.46   7.69   0.50 15.50 13.55 20.00 15.50 19.42
FBI:NNP 14.96 15.50 15.50   0.00 10.50 20.50 15.00 20.50
secrets:NNS 10.46 12.85 14.18 10.50   0.00 20.00   8.35 20.00
the:DT 20.50 20.00 20.00 20.50 20.00   0.00 20.50 10.00
Russians:NNPS 14.96 13.35 15.50 15.00   8.35 20.50   0.00 20.50
,:, 20.50 19.80 19.98 20.50 20.00 10.00 20.50   5.73
could:MD 20.46 17.84 19.96 20.46 19.96 10.00 20.46 10.00
face:VB 15.46   4.55   8.07 15.50 12.44 20.00 13.35 17.99
the:DT 20.50 20.00 20.00 20.50 20.00   0.00 20.50 10.00
death_penalty:NN 10.46 12.69 12.10 10.50   8.72 20.00   9.84 20.00
.:. 20.50 17.99 19.05 20.50 20.00 10.00 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -3.5000
Features matched: 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: -2.0500
Threshold: -11.4590


Inference ID: PARC-43

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

Hyp: Hanssen did sell FBI secrets to the Russians . (unknown)

Hanssen
NNP
did
VBD
sell
VB
FBI
NNP
secrets
NNS
the
DT
Russians
NNPS
.
.
The:DT 20.50 20.00 20.00 20.50 20.00   0.00 20.50 10.00
New_York_Times:NNPS 14.96 14.84 14.68   8.91   9.84 20.50 14.34 20.50
reported:VBD 15.46   7.69   7.69 15.50 11.05 20.00 13.35 19.71
that:IN 20.50 20.00 20.00 20.50 20.00 20.00 20.50 20.00
Hanssen:NNP   0.00 15.46 15.46 14.96 10.46 20.50 14.96 20.50
sold:VBD 15.46   7.69   0.50 15.50 13.55 20.00 15.50 19.42
FBI:NNP 14.96 15.50 15.50   0.00 10.50 20.50 15.00 20.50
secrets:NNS 10.46 12.85 14.18 10.50   0.00 20.00   8.35 20.00
the:DT 20.50 20.00 20.00 20.50 20.00   0.00 20.50 10.00
Russians:NNPS 14.96 13.35 15.50 15.00   8.35 20.50   0.00 20.50
could:MD 20.46 17.84 19.96 20.46 19.96 10.00 20.46 10.00
face:VB 15.46   4.55   8.07 15.50 12.44 20.00 13.35 17.99
the:DT 20.50 20.00 20.00 20.50 20.00   0.00 20.50 10.00
death_penalty:NN 10.46 12.69 12.10 10.50   8.72 20.00   9.84 20.00
.:. 20.50 17.99 19.05 20.50 20.00 10.00 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -3.5000
Features matched: Factive.unknownPassage: non factive text -- unknown: reported-VBD; 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: -1.5500
Threshold: -11.4590


Inference ID: PARC-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   7.61 20.50
said:VBD 15.00   6.24   7.80 15.00 18.58
that:IN 20.00 20.00 20.00 20.00 20.00
it:PRP 12.00 15.00 15.00 12.00 20.00
was:VBD 14.34   0.50 10.00 11.33 20.00
Khan:NNP   8.53 14.84 15.50   9.52 20.50
who:WP 12.00 15.00 15.00 12.00 20.00
sold:VBD 15.00   7.80   0.00 15.00 19.42
centrifuges:NNS   0.00 14.34 14.23   9.34 19.93
North_Korea:NNP   9.84 14.84 15.50   0.50 20.50
.:. 20.00 20.00 19.42 20.00   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -3.5000
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: -11.4590


Inference ID: PARC-45

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

Hyp: Centrifuges were sold to North_Korea . (unknown)

Centrifuges
NNS
were
VBD
sold
VBN
North_Korea
NNP
.
.
Bush:NNP   9.45 14.84 12.74   7.61 20.50
said:VBD 15.00   6.24   7.80 15.00 18.58
that:IN 20.00 20.00 20.00 20.00 20.00
Khan:NNP   8.53 14.84 15.50   9.52 20.50
sold:VBD 15.00   7.80   0.00 15.00 19.42
centrifuges:NNS   0.00 14.34 14.23   9.34 19.93
North_Korea:NNP   9.84 14.84 15.50   0.50 20.50
.:. 20.00 20.00 19.42 20.00   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -3.5000
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: -11.4590


Inference ID: PARC-46

Txt: What we found in Iraq was rusted shrapnel.

Hyp: We did find something in Iraq . (yes)

We
PRP
did
VBD
find
VB
something
NN
Iraq
NNP
.
.
What:WP 10.00 15.00 15.00 12.00 12.50 20.00
we:PRP   0.00 15.00 15.00 12.00 12.50 20.00
found:VBD 15.00   6.26   0.50 15.00 15.50 19.57
Iraq:NNP 12.50 15.50 15.50   9.84   0.00 20.50
was:VBD 15.00 10.00 10.00 14.34 11.83 20.00
rusted:VBN 15.00   7.62   7.61 14.34 14.84 20.00
shrapnel:JJ 15.00 11.21 12.00 11.34 11.84 20.00
.:. 20.00 17.99 18.14 20.00 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -13.5000
Features matched: NullPunisher.other: something; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "rusted vs. hyp "." <-punct-- "find", which aligned to text "found"
Hand-tuned score: -3.0500
Threshold: -11.4590


Inference ID: PARC-47

Txt: The fact that Bin Laden was in Tora Bora led 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 20.00 20.00 20.50 10.00
fact:NN   8.92 15.00 10.46 17.53
that:IN 20.00 20.00 20.50 20.00
Bin_Laden:NNP   0.50 14.84 14.96 20.50
was:VBD 14.34   0.00 15.46 20.00
Tora_Bora:NNP 10.46 15.46   0.00 20.50
led:VBD 13.56   9.34 15.46 19.43
the:DT 20.00 20.00 20.50 10.00
suspicion:NN   9.34 15.00 10.46 19.99
that:IN 20.00 20.00 20.50 20.00
the:DT 20.00 20.00 20.50 10.00
Afghan:JJ 10.55 11.84 16.96 20.50
campaign:NN 10.00 15.00 10.46 19.85
was:VBD 14.34   0.00 15.46 20.00
mismanaged:VBN 15.00 10.00 15.46 20.00
.:. 20.00 20.00 20.50   0.00
NO_WORD 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.5000
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-- "led vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -3.0000
Threshold: -11.4590


Inference ID: PARC-48

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

Hyp: The Afghan campaign was mismanaged . (unknown)

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
led:VBD 20.00 10.53 14.51   9.34   8.89 19.43
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-- "led vs. hyp "." <-punct-- "mismanaged", which aligned to text "mismanaged"
Hand-tuned score: -1.0000
Threshold: -11.4590


Inference ID: PARC-49

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

Hyp: The election was rigged . (unknown)

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: -11.4590


Inference ID: PARC-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: -11.4590


Inference ID: PARC-51

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

Hyp: Ames was a successful spy . (unknown)

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: -11.4590


Inference ID: PARC-52

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

Hyp: The Afghans do speak several different languages . (yes)

The
DT
Afghans
NNPS
do
VBP
speak
VB
several
JJ
different
JJ
languages
NNS
.
.
The:DT   0.00 20.50 20.00 20.00 20.00 20.00 20.00 10.00
US:NNP 20.50 14.34 15.50 15.50 12.46 12.46 10.50 20.50
forgot:VBD 20.00 15.50   8.48   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
the:DT   0.00 20.50 20.00 20.00 20.00 20.00 20.00 10.00
Afghans:NNPS 20.50   0.00 13.35 15.50 12.46 12.46   5.87 20.50
speak:VBP 20.00 15.50   5.23   0.00 11.96 11.39 12.82 18.41
several:JJ 20.00 12.46 11.96 11.96   0.00   9.96 11.96 20.00
different:JJ 20.00 12.46 10.27 11.39   9.96   0.00   8.76 17.27
languages:NNS 20.00   5.87 11.24 12.82 11.96   8.76   0.00 19.86
.:. 10.00 20.50 18.81 18.41 20.00 17.27 19.86   0.00
NO_WORD   1.00 10.00   1.00 10.00   9.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -3.0000
Features matched: Factive.negativeStatement: non factive text : forgot-VBD; NullPunisher.aux: do; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "forgot vs. hyp "." <-punct-- "speak", which aligned to text "speak"
Hand-tuned score: -7.0500
Threshold: -11.4590


Inference ID: PARC-53

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

Hyp: The US_Army did have to be transformed to meet new threats . (yes)

The
DT
US_Army
NNP
did
VBD
have
VB
to
TO
be
VB
transformed
VBN
to
TO
meet
VB
new
JJ
threats
NNS
.
.
Bush:NNP 20.00   8.13 15.00 13.05 20.00 14.34 15.00 20.00 12.02 11.96   8.05 20.00
realized:VBD 20.00 15.00   7.32   6.84 20.00 10.00   7.20 20.00   7.24 11.96 14.16 17.47
that:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
the:DT   0.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00 20.00 20.00 20.00 10.00
US_Army:NNP 20.50   0.50 15.50 15.17 20.50 15.17 15.50 20.50 15.50 12.46 10.17 20.50
had:VBD 20.00 14.67   7.32   0.50 20.00   7.80   7.61 20.00   3.72 11.96 13.05 20.00
to:TO 10.00 20.00 20.00 20.00   0.00 20.00 20.00   0.00 20.00 20.00 20.00 10.00
be:VB 20.00 14.67   6.07   7.80 20.00   0.00 10.00 20.00   2.00 11.96 14.34 20.00
transformed:VBN 20.00 15.00   7.62   7.61 20.00 10.00   0.00 20.00   7.61 10.33 14.61 20.00
to:TO 10.00 20.00 20.00 20.00   0.00 20.00 20.00   0.00 20.00 20.00 20.00 10.00
meet:VB 20.00 15.00   5.11   3.72 20.00   6.07   7.61 20.00   0.00 11.24 14.50 19.52
new:JJ 20.00 11.96 11.96 11.96 20.00 11.96 10.33 20.00 11.24   0.00 11.96 20.00
threats:NNS 20.00   9.67 12.85 13.05 20.00 14.34 14.61 20.00 14.50 11.96   0.00 19.03
.:. 10.00 20.00 17.99 20.00 10.00 20.00 20.00 10.00 19.52 20.00 19.03   0.00
NO_WORD   1.00 10.00   1.00 10.00 10.00   1.00 10.00 10.00 10.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -4.0000
Features matched: Factive.factivePassage: factive entails : realized-VBD; Modal.weakYes: necessary -> necessary; 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: -0.0500
Threshold: -11.4590


Inference ID: PARC-54

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

Hyp: Afghanistan is land-locked . (yes)

Afghanistan
NNP
is
VBZ
land-locked
JJ
.
.
Bush:NNP   7.61 14.34 11.96 20.00
did:VBD 15.50   6.07 11.96 17.99
n't:RB 15.46 19.96 11.96 17.90
realize:VB 15.50 10.00 11.74 17.34
that:IN 20.50 20.00 20.00 20.00
Afghanistan:NNP   0.00 14.84 12.46 20.50
is:VBZ 14.84   0.00 11.96 20.00
land:NN   2.50 14.34   6.75 18.77
-:: 20.50 20.00 20.00 10.00
locked:VBN 14.84   9.34   6.75 19.17
.:. 20.50 20.00 18.97   0.00
NO_WORD 10.00   1.00   9.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -8.7474
Features matched: Adjunct.dropPosCxt: text adjunct "locked" of "land" dropped on aligned hyp word "land-locked"; Factive.factivePassage: factive entails : realize-VB; RootEntailment.poorlyAlignedRoot: "land-locked" aligned badly to "land"; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "realize vs. hyp "." <-punct-- "land-locked", which aligned to text "land"
Hand-tuned score: -2.5000
Threshold: -11.4590


Inference ID: PARC-55

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

Hyp: The US will invade Syria . (unknown)

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: -11.4590


Inference ID: PARC-56

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

Hyp: Bush does have the lead in Ohio . (yes)

Bush
NNP
does
VBZ
have
VB
the
DT
lead
NN
Ohio
NNP
.
.
It:PRP 12.50 15.00 15.00 20.00 12.00 12.50 20.00
is:VBZ 14.84   9.34   7.80 20.00   9.39 14.84 20.00
not:RB 15.46 19.96 19.96 20.00 14.96 15.46 20.00
surprising:JJ 12.50 11.87 10.07 20.00   9.70 12.50 19.84
that:IN 20.50 20.00 20.00 20.00 20.00 20.50 20.00
Bush:NNP   5.00 13.61 13.55 20.50   8.02 12.11 20.50
has:VBZ 13.02   9.34   0.50 20.00   7.65 13.02 20.00
the:DT 20.50 18.65 20.00   0.00 20.00 20.50 10.00
lead:NN   8.02 13.11 10.68 20.00   0.00   8.02 19.02
Ohio:NNP 12.11 14.84 14.84 20.50   8.02   0.00 20.50
.:. 20.50 20.00 20.00 10.00 19.02 20.50   0.00
NO_WORD 10.00   1.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -8.5000
Features matched: Factive.factivePassage: factive entails : surprising-JJ; NullPunisher.aux: does; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "surprising vs. hyp "." <-punct-- "have", which aligned to text "has"
Hand-tuned score: -1.0500
Threshold: -11.4590


Inference ID: PARC-57

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

Hyp: Bush does have the lead in Ohio . (unknown)

Bush
NNP
does
VBZ
have
VB
the
DT
lead
NN
Ohio
NNP
.
.
It:PRP 12.50 15.00 15.00 20.00 12.00 12.50 20.00
is:VBZ 14.84   9.34   7.80 20.00   9.39 14.84 20.00
not:RB 15.46 19.96 19.96 20.00 14.96 15.46 20.00
likely:JJ 12.46   9.43 11.96 20.00 10.90 12.46 19.92
that:IN 20.50 20.00 20.00 20.00 20.00 20.50 20.00
Bush:NNP   5.00 13.61 13.55 20.50   8.02 12.11 20.50
has:VBZ 13.02   9.34   0.50 20.00   7.65 13.02 20.00
the:DT 20.50 18.65 20.00   0.00 20.00 20.50 10.00
lead:NN   8.02 13.11 10.68 20.00   0.00   8.02 19.02
Ohio:NNP 12.11 14.84 14.84 20.50   8.02   0.00 20.50
.:. 20.50 20.00 20.00 10.00 19.02 20.50   0.00
NO_WORD 10.00   1.00 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -8.5000
Features matched: Factive.unknownPassage: non factive text -- unknown: likely-JJ; NullPunisher.aux: does; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "likely vs. hyp "." <-punct-- "have", which aligned to text "has"
Hand-tuned score: -1.5500
Threshold: -11.4590


Inference ID: PARC-58

Txt: Kerry knew that Edwards would accept the nomination.

Hyp: Kerry did know whether Edwards would accept the nomination . (yes)

Kerry
NNP
did
VBD
know
VBP
whether
IN
Edwards
NNP
would
MD
accept
VB
the
DT
nomination
NN
.
.
Kerry:NNP   0.00 15.46 15.46 20.50   9.07 20.46 15.46 20.50 10.46 20.50
knew:VBD 15.46   4.04   0.50 20.00 15.50 19.96   5.35 20.00 14.92 17.19
that:IN 20.50 20.00 20.00 10.00 20.50 20.00 20.00 20.00 20.00 20.00
Edwards:NNP   9.07 15.50 15.50 20.50   0.00 20.46 15.50 20.50 10.50 20.50
would:MD 20.46 18.57 19.96 20.00 20.46   0.00 19.96 10.00 19.96 10.00
accept:VB 15.46   7.47   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 20.50 10.00 20.00   0.00 20.00 10.00
nomination:NN 10.46 14.36 14.84 20.00 10.50 19.96 15.00 20.00   0.00 19.99
.:. 20.50 17.99 17.93 20.00 20.50 10.00 18.61 10.00 19.99   0.00
NO_WORD 10.00 10.00 10.00   1.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -7.5394
Features matched: NullPunisher.functionWord: whether; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "knew"
Hand-tuned score: -1.1000
Threshold: -11.4590


Inference ID: PARC-59

Txt: Tom knows that Naples is in Campania.

Hyp: Tom does know where Naples is . (yes)

Tom
NNP
does
VBZ
know
VB
where
WRB
Naples
NNP
is
VBZ
.
.
Tom:NNP   0.00 10.17 15.00 19.96   9.84 14.34 20.00
knows:VBZ 15.00   2.16   0.50 19.96 15.50   8.07 20.00
that:IN 20.00 20.00 20.00 18.69 20.50 20.00 20.00
Naples:NNP   9.84 14.84 15.50 20.46   0.00 14.84 20.50
is:VBZ 14.34   9.34   8.07 19.96 14.84   0.00 20.00
Campania:NNP   9.84 14.84 15.50 20.46   2.00 14.84 20.50
.:. 20.00 20.00 17.93 10.00 20.50 20.00   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -11.5000
Features matched: Adjunct.addPosCxt: hyp added where[where-WRB]; Adjunct.dropPosCxt: text adjunct "Campania" of "is" dropped on aligned hyp word "is"; NullPunisher.aux: does; NullPunisher.other: where
Hand-tuned score: -0.5500
Threshold: -11.4590


Inference ID: PARC-60

Txt: We met in September during the feast.

Hyp: The feast did take_place in September . (yes)

The
DT
feast
NN
did
VBD
take_place
NN
September
NNP
.
.
We:PRP 20.00 12.00 15.00 12.00 12.50 20.00
met:VBD 20.00 10.15   5.11 13.51 15.50 19.15
September:NNP 20.50 10.50 14.19   9.84   0.00 20.50
the:DT   0.00 20.00 20.00 20.00 20.50 10.00
feast:NN 20.00   0.00   9.07   8.28 10.50 20.00
.:. 10.00 20.00 17.99 20.00 20.50   0.00
NO_WORD   1.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -17.1092
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 09/01/1000; NullPunisher.other: take_place; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "met"; Structure.relMismatch: text "feast" is prep_during of "met" while hyp "feast" is nsubj of "did" which aligned to text "met"
Hand-tuned score: -2.0000
Threshold: -11.4590


Inference ID: PARC-61

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

Hyp: Bin_Laden was seen in Tora Bora . (no)

Bin_Laden
NNP
was
VBD
seen
VBN
Tora_Bora
NNP
.
.
It:PRP 12.00 15.00 15.00 12.50 20.00
is:VBZ 14.34   0.50   7.74 15.46 20.00
false:JJ 11.96 11.96 11.96 12.46 18.76
that:IN 20.00 20.00 20.00 20.50 20.00
Bin_Laden:NNP   0.50 14.84 14.84 14.96 20.50
was:VBD 14.34   0.00   7.11 15.46 20.00
seen:VBN 14.34   7.11   0.00 15.46 18.17
Tora_Bora:NNP 10.46 15.46 15.46   0.00 20.50
.:. 20.00 20.00 18.17 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.5000
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: -11.4590


Inference ID: PARC-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 12.00 15.00 12.50 20.00
follows:VBZ 15.00 10.00 15.46 17.41
that:IN 20.00 20.00 20.50 20.00
Bin_Laden:NNP   0.50 14.84 14.96 20.50
was:VBD 14.34   0.00 15.46 20.00
Tora_Bora:NNP 10.46 15.46   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: -2.5000
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: -11.4590


Inference ID: PARC-63

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

Hyp: Bin_Laden was in Tora Bora . (unknown)

Bin_Laden
NNP
was
VBD
Tora_Bora
NNP
.
.
It:PRP 12.00 15.00 12.50 20.00
is:VBZ 14.34   0.50 15.46 20.00
likely:JJ 11.96 11.96 12.46 19.92
that:IN 20.00 20.00 20.50 20.00
Bin_Laden:NNP   0.50 14.84 14.96 20.50
was:VBD 14.34   0.00 15.46 20.00
Tora_Bora:NNP 10.46 15.46   0.00 20.50
.:. 20.00 20.00 20.50   0.00
NO_WORD 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.5000
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: -11.4590


Inference ID: PARC-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: -11.4590


Inference ID: PARC-65

Txt: Tony Hall left Amman on Sunday.

Hyp: Tony Hall was in Amman on Saturday . (unknown)

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: yes (INCORRECT)
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: -11.4590


Inference ID: PARC-66

Txt: Khan sold 10 centrifuges to North Korea.

Hyp: North_Korea did buy 10 centrifuges . (yes)

North_Korea
NNP
did
VBD
buy
VB
10
CD
centrifuges
NNS
.
.
Khan:NNP   9.52 15.50 15.50 25.00   8.53 20.50
sold:VBD 15.00   7.69   6.51 20.00 14.23 19.42
10:CD 19.84 19.19 20.03   0.00 20.50 19.16
centrifuges:NNS   9.34 15.00 14.88 20.50   0.00 19.93
North_Korea:NNP   0.50 14.52 15.50 24.34   9.84 20.50
.:. 20.00 17.99 20.00 19.16 19.93   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -10.0110
Features matched: 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: -2.0500
Threshold: -11.4590


Inference ID: PARC-67

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

Hyp: Al-Qaida did attack Ryad in 2002 . (no)

Al-Qaida
NNP
did
VBD
attack
NN
Ryad
VBN
2002
CD
.
.
The:DT 20.50 20.00 20.00 20.50 20.50 10.00
US:NNP 10.00 15.50 10.50 14.96 24.96 20.50
invasion:NN 10.50 12.69   5.06 15.46 20.46 20.00
Afghanistan:NNP 10.00 15.50 10.50 14.96 24.96 20.50
prevented:VBD 15.50   9.29 11.37 10.46 20.37 18.96
Al-Qaida:NNP   0.50 15.00 10.00 15.46 20.46 20.00
from:IN 20.50 20.00 20.00 20.50 20.50 20.00
attacking:VBG 15.50   7.62   0.50 10.46 20.26 19.81
Ryad:NNP   9.96 15.46 10.46   0.00 24.96 20.50
2002:CD 24.96 20.46 20.44 24.96   0.00 20.50
.:. 20.50 17.99 20.00 20.50 20.50   0.00
NO_WORD 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -18.2890
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/2002; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "prevented"; Structure.relMismatch: text "Al-Qaida" is dobj of "prevented" while hyp "Al-Qaida" is nsubj of "did" which aligned to text "prevented"
Hand-tuned score: -1.0000
Threshold: -11.4590


Inference ID: PARC-68

Txt: The administration managed to track down the perpetrators.

Hyp: The administration did track_down the perpetrators . (yes)

The
DT
administration
NN
did
VBD
track_down
VB
the
DT
perpetrators
NNS
.
.
The:DT   0.00 20.00 20.00 20.00   0.00 20.00 10.00
administration:NN 20.00   0.00 12.69 13.86 20.00   9.76 19.88
managed:VBD 20.00 13.37   1.52 10.00 20.00 15.00 20.00
to:TO 10.00 20.00 20.00 20.00 10.00 20.00 10.00
track_down:VB 20.00 13.86   7.72   0.00 20.00 14.02 20.00
the:DT   0.00 20.00 20.00 20.00   0.00 20.00 10.00
perpetrators:NNS 20.00   9.76 14.73 14.02 20.00   0.00 19.30
.:. 10.00 19.88 17.99 20.00 10.00 19.30   0.00
NO_WORD   1.00 10.00   1.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -5.0000
Features matched: 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: -2.0500
Threshold: -11.4590


Inference ID: PARC-69

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

Hyp: The administration did track_down the perpetrators . (no)

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

Response: yes (INCORRECT)
Justification:
Alignment score: -5.0000
Features matched: 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 "." <-punct-- "manage vs. hyp "." <-punct-- "track_down", which aligned to text "track_down"
Hand-tuned score: -2.0500
Threshold: -11.4590


Inference ID: PARC-70

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

Hyp: Bush did read the report . (no)

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

Response: yes (INCORRECT)
Justification:
Alignment score: -5.0000
Features matched: Factive.inNegatedEmbedding: embedded negative text; 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 "." <-punct-- "have vs. hyp "." <-punct-- "read", which aligned to text "read"
Hand-tuned score: -7.0500
Threshold: -11.4590


Inference ID: PARC-71

Txt: Bush had the time to read the report.

Hyp: Bush did read the report . (yes)

Bush
NNP
did
VBD
read
VB
the
DT
report
NN
.
.
Bush:NNP   0.00 15.00 13.95 20.00 10.00 20.00
had:VBD 13.05   7.32   5.95 20.00 12.80 20.00
the:DT 20.00 20.00 20.00   0.00 20.00 10.00
time:NN 10.00 11.26 12.32 20.00   6.89 17.52
to:TO 20.00 20.00 20.00 10.00 20.00 10.00
read:VB 13.95   6.81   0.00 20.00 11.87 18.96
the:DT 20.00 20.00 20.00   0.00 20.00 10.00
report:NN 10.00 12.69 11.87 20.00   0.00 19.87
.:. 20.00 17.99 18.96 10.00 19.87   0.00
NO_WORD 10.00   1.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -5.0000
Features matched: Factive.inPositiveEmbedding: embedded positive text; NullPunisher.aux: did; 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: -1.0500
Threshold: -11.4590


Inference ID: PARC-72

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

Hyp: The president did attend the meeting . (no)

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

Response: yes (INCORRECT)
Justification:
Alignment score: -5.0000
Features matched: 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 "." <-punct-- "able vs. hyp "." <-punct-- "attend", which aligned to text "attend"
Hand-tuned score: -2.0500
Threshold: -11.4590


Inference ID: PARC-73

Txt: The president was able to attend the meeting.

Hyp: The president did attend the meeting . (yes)

The
DT
president
NN
did
VBD
attend
VB
the
DT
meeting
NN
.
.
The:DT   0.00 20.00 20.00 20.00   0.00 20.00 10.00
president:NN 20.00   0.00 15.00 14.16 20.00   8.35 20.00
was:VBD 20.00 14.34 10.00 10.00 20.00 12.52 20.00
able:JJ 20.00 11.96 11.55 10.38 20.00 11.96 17.24
to:TO 10.00 20.00 20.00 20.00 10.00 20.00 10.00
attend:VB 20.00 14.16   8.17   0.00 20.00 11.65 19.67
the:DT   0.00 20.00 20.00 20.00   0.00 20.00 10.00
meeting:NN 20.00   8.35 12.69 11.65 20.00   0.00 19.92
.:. 10.00 20.00 17.99 19.67 10.00 19.92   0.00
NO_WORD   1.00 10.00   1.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -5.0000
Features matched: 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 "." <-punct-- "able vs. hyp "." <-punct-- "attend", which aligned to text "attend"
Hand-tuned score: -2.0500
Threshold: -11.4590


Inference ID: PARC-74

Txt: Many soldiers were killed in the ambush.

Hyp: All soldiers were killed in the ambush . (no)

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: yes (INCORRECT)
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: -11.4590


Inference ID: PARC-75

Txt: The man had $20 in his pocket.

Hyp: The man did have $ 40 in his pocket . (no)

The
DT
man
NN
did
VBD
have
VB
$
$
40
CD
his
PRP$
pocket
NN
.
.
The:DT   0.00 20.00 20.00 20.00 10.50 20.50 20.00 20.00 10.00
man:NN 20.00   0.00 12.63 13.05 18.93 20.50 12.00   6.78 19.76
had:VBD 20.00 13.05   7.32   0.50 20.50 20.50 15.00 13.95 20.00
$:$ 10.50 18.93 20.50 20.50   0.00 20.00 20.50 17.92   9.91
20:CD 20.50 20.50 19.19 20.50 20.00   0.69 20.50 19.19 19.23
his:PRP$ 20.00 12.00 15.00 15.00 20.50 20.50   0.00 12.00 20.00
pocket:NN 20.00   6.78 12.53 13.95 17.92 19.19 12.00   0.00 18.62
.:. 10.00 19.76 17.99 20.00   9.91 18.57 20.00 18.62   0.00
NO_WORD   1.00 10.00   1.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.1931
Features matched: NullPunisher.aux: did; Numeric.mismatch: MONEY mismatch: '$40.0' vs '$20.0'
Hand-tuned score: -5.0500
Threshold: -11.4590


Inference ID: PARC-76

Txt: The man had $20 in his pocket.

Hyp: The man did have $ 10 in his pocket . (yes)

The
DT
man
NN
did
VBD
have
VB
$
$
10
CD
his
PRP$
pocket
NN
.
.
The:DT   0.00 20.00 20.00 20.00 10.50 20.50 20.00 20.00 10.00
man:NN 20.00   0.00 12.63 13.05 18.93 20.50 12.00   6.78 19.76
had:VBD 20.00 13.05   7.32   0.50 20.50 20.50 15.00 13.95 20.00
$:$ 10.50 18.93 20.50 20.50   0.00 20.00 20.50 17.92   9.91
20:CD 20.50 20.50 19.19 20.50 20.00   0.69 20.50 19.19 19.23
his:PRP$ 20.00 12.00 15.00 15.00 20.50 20.50   0.00 12.00 20.00
pocket:NN 20.00   6.78 12.53 13.95 17.92 19.19 12.00   0.00 18.62
.:. 10.00 19.76 17.99 20.00   9.91 19.16 20.00 18.62   0.00
NO_WORD   1.00 10.00   1.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.1931
Features matched: NullPunisher.aux: did; Numeric.mismatch: MONEY mismatch: '$10.0' vs '$20.0'
Hand-tuned score: -5.0500
Threshold: -11.4590


Word similarity table built on Thu Jul 06 10:24:48 PDT 2006 using command:
java edu.stanford.nlp.rte.WordSimilarityGenerator -info /u/nlp/rte/data/byformat/align/stochastic/parc_dev.pipeline.align.xml -output /u/nlp/rte/data/byformat/wordsim/stochastic/parc_dev.pipeline.wordsim.html -lex.BasicWN off