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: ATM1-1

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome. Steve, who was sitting next to John, got down in Rome.

Hyp: John is in Baghdad . (yes)

	John NNP	is VBZ	Baghdad NNP	. .
John:NNP	0.00	14.84	14.34	20.50
took:VBD	15.50	4.35	15.50	18.92
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
Paris:NNP	14.34	14.84	3.98	20.50
Baghdad:NNP	14.34	14.84	0.00	20.50
.:.	20.50	20.00	20.50	0.00
the:DT	20.50	20.00	20.50	10.00
way:NN	7.97	14.34	8.02	16.60
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
stopped:VBD	12.56	9.34	13.02	18.36
Rome:NNP	14.34	14.84	3.98	20.50
.:.	20.50	20.00	20.50	0.00
Steve:NNP	8.58	15.46	14.96	20.50
,:,	20.50	20.00	20.50	5.73
who:WP	12.50	15.00	12.50	20.00
was:VBD	14.84	0.50	11.83	20.00
sitting:VBG	11.18	10.00	15.50	19.32
John:NNP	0.00	14.84	14.34	20.50
,:,	20.50	20.00	20.50	5.73
got_down:VBD	14.52	7.74	15.17	20.00
Rome:NNP	14.34	14.84	3.98	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: -5.3499
Features matched: Adjunct.dropPosCxt: text adjunct "Paris" of "took" dropped on aligned hyp word "is"; Location.mismatch: no clear info of matching: be(X, prep_in); RootEntailment.poorlyAlignedRoot: "is" aligned badly to "took"; Structure.relMismatch: text "Baghdad" is prep_to of "took" while hyp "Baghdad" is prep_in of "is" which aligned to text "took"
Hand-tuned score: -3.5000
Threshold: -11.4590

Inference ID: ATM1-2

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome. Steve, who was sitting next to John, got down in Rome.

Hyp: John is in Paris . (no)

	John NNP	is VBZ	Paris NNP	. .
John:NNP	0.00	14.84	14.34	20.50
took:VBD	15.50	4.35	15.50	18.92
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
Paris:NNP	14.34	14.84	0.00	20.50
Baghdad:NNP	14.34	14.84	3.98	20.50
.:.	20.50	20.00	20.50	0.00
the:DT	20.50	20.00	20.50	10.00
way:NN	7.97	14.34	8.02	16.60
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
stopped:VBD	12.56	9.34	13.02	18.36
Rome:NNP	14.34	14.84	3.98	20.50
.:.	20.50	20.00	20.50	0.00
Steve:NNP	8.58	15.46	14.96	20.50
,:,	20.50	20.00	20.50	5.73
who:WP	12.50	15.00	12.50	20.00
was:VBD	14.84	0.50	11.83	20.00
sitting:VBG	11.18	10.00	13.63	19.32
John:NNP	0.00	14.84	14.34	20.50
,:,	20.50	20.00	20.50	5.73
got_down:VBD	14.52	7.74	15.17	20.00
Rome:NNP	14.34	14.84	3.98	20.50
.:.	20.50	20.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -5.3499
Features matched: Adjunct.dropPosCxt: text adjunct "Baghdad" of "took" dropped on aligned hyp word "is"; Location.mismatch: no clear info of matching: be(X, prep_in); RootEntailment.poorlyAlignedRoot: "is" aligned badly to "took"; Structure.relMismatch: text "Paris" is prep_from of "took" while hyp "Paris" is prep_in of "is" which aligned to text "took"
Hand-tuned score: -3.5000
Threshold: -11.4590

Inference ID: ATM1-3

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome. Steve, who was sitting next to John, got down in Rome.

Hyp: John was in Paris . (yes)

	John NNP	was VBD	Paris NNP	. .
John:NNP	0.00	14.84	14.34	20.50
took:VBD	15.50	10.00	15.50	18.92
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
Paris:NNP	14.34	11.83	0.00	20.50
Baghdad:NNP	14.34	11.83	3.98	20.50
.:.	20.50	20.00	20.50	0.00
the:DT	20.50	20.00	20.50	10.00
way:NN	7.97	12.52	8.02	16.60
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
stopped:VBD	12.56	7.52	13.02	18.36
Rome:NNP	14.34	11.83	3.98	20.50
.:.	20.50	20.00	20.50	0.00
Steve:NNP	8.58	15.46	14.96	20.50
,:,	20.50	20.00	20.50	5.73
who:WP	12.50	15.00	12.50	20.00
was:VBD	14.84	0.00	11.83	20.00
sitting:VBG	11.18	10.00	13.63	19.32
John:NNP	0.00	14.84	14.34	20.50
,:,	20.50	20.00	20.50	5.73
got_down:VBD	14.52	9.67	15.17	20.00
Rome:NNP	14.34	11.83	3.98	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: -6.0000
Features matched: Location.mismatch: no clear info of matching: be(X, prep_in); Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "got_down vs. hyp "." <-punct-- "was", which aligned to text "was" args have different parents, different relations: text "John" <-prep_next_to-- "sitting" vs. hyp "John" <-nsubj-- "was", which aligned to text "was" args have different parents, different relations: text "Paris" <-prep_from-- "took" vs. hyp "Paris" <-prep_in-- "was", which aligned to text "was"
Hand-tuned score: -4.0000
Threshold: -11.4590

Inference ID: ATM1-4

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome. Steve, who was sitting next to John, got down in Rome.

Hyp: John was in Rome . (yes)

	John NNP	was VBD	Rome NNP	. .
John:NNP	0.00	14.84	14.34	20.50
took:VBD	15.50	10.00	15.50	18.92
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
Paris:NNP	14.34	11.83	3.98	20.50
Baghdad:NNP	14.34	11.83	3.98	20.50
.:.	20.50	20.00	20.50	0.00
the:DT	20.50	20.00	20.50	10.00
way:NN	7.97	12.52	8.02	16.60
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
stopped:VBD	12.56	7.52	13.02	18.36
Rome:NNP	14.34	11.83	0.00	20.50
.:.	20.50	20.00	20.50	0.00
Steve:NNP	8.58	15.46	14.96	20.50
,:,	20.50	20.00	20.50	5.73
who:WP	12.50	15.00	12.50	20.00
was:VBD	14.84	0.00	11.83	20.00
sitting:VBG	11.18	10.00	12.02	19.32
John:NNP	0.00	14.84	14.34	20.50
,:,	20.50	20.00	20.50	5.73
got_down:VBD	14.52	9.67	15.17	20.00
Rome:NNP	14.34	11.83	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: -6.0000
Features matched: Location.mismatch: no clear info of matching: be(X, prep_in); Structure.argsMismatch: args have different parents but same relations: text "Rome" <-prep_in-- "stopped vs. hyp "Rome" <-prep_in-- "was", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "got_down vs. hyp "." <-punct-- "was", which aligned to text "was" args have different parents, different relations: text "John" <-prep_next_to-- "sitting" vs. hyp "John" <-nsubj-- "was", which aligned to text "was"
Hand-tuned score: -4.0000
Threshold: -11.4590

Inference ID: ATM1-5

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome. Steve, who was sitting next to John, got down in Rome.

Hyp: John in Rome was WH[LOCATION] . (airport)

	John NNP	Rome NNP	was VBD	WH[LOCATION] JJ	. .
John:NNP	0.00	14.34	14.84	0.00	20.50
took:VBD	15.50	15.50	10.00	17.50	18.92
the:DT	20.50	20.50	20.00	17.50	10.00
plane:NN	8.53	9.84	14.34	0.00	19.75
Paris:NNP	14.34	3.98	11.83	0.00	20.50
Baghdad:NNP	14.34	3.98	11.83	0.00	20.50
.:.	20.50	20.50	20.00	17.50	0.00
the:DT	20.50	20.50	20.00	17.50	10.00
way:NN	7.97	8.02	12.52	0.00	16.60
the:DT	20.50	20.50	20.00	17.50	10.00
plane:NN	8.53	9.84	14.34	0.00	19.75
stopped:VBD	12.56	13.02	7.52	17.50	18.36
Rome:NNP	14.34	0.00	11.83	0.00	20.50
.:.	20.50	20.50	20.00	17.50	0.00
Steve:NNP	8.58	14.96	15.46	0.00	20.50
,:,	20.50	20.50	20.00	17.50	5.73
who:WP	12.50	12.50	15.00	17.50	20.00
was:VBD	14.84	11.83	0.00	17.50	20.00
sitting:VBG	11.18	12.02	10.00	17.50	19.32
John:NNP	0.00	14.34	14.84	0.00	20.50
,:,	20.50	20.50	20.00	17.50	5.73
got_down:VBD	14.52	15.17	9.67	17.50	20.00
Rome:NNP	14.34	0.00	11.83	0.00	20.50
.:.	20.50	20.50	20.00	17.50	0.00
NO_WORD	10.00	10.00	1.00	9.00	10.00

Response: plane (INCORRECT)
Justification:
Alignment score: -7.0000
Features matched: NullPunisher.aux: was; Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "took vs. hyp "John" <-nsubj-- "WH[LOCATION]", which aligned to text "plane" args have different parents but same relations: text "." <-punct-- "took vs. hyp "." <-punct-- "WH[LOCATION]", which aligned to text "plane"
Hand-tuned score: -2.0500
Threshold: -11.4590

Inference ID: ATM1-6

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome. Steve, who was sitting next to John, got down in Rome.

Hyp: John did pass through the Rome airport customs area . (no)

	John NNP	did VBD	pass VB	the DT	Rome NNP	airport NN	customs NNS	area NN	. .
John:NNP	0.00	13.35	12.27	20.50	14.34	8.53	10.50	6.11	20.50
took:VBD	15.50	6.90	4.98	20.00	15.50	15.00	11.96	15.00	18.92
the:DT	20.50	20.00	20.00	0.00	20.50	20.00	20.00	20.00	10.00
plane:NN	8.53	12.45	12.44	20.00	9.84	4.07	7.02	7.44	19.75
Paris:NNP	14.34	15.50	13.02	20.50	3.98	9.61	10.50	6.57	20.50
Baghdad:NNP	14.34	15.50	13.02	20.50	3.98	9.84	10.50	6.57	20.50
.:.	20.50	17.99	18.93	10.00	20.50	20.00	20.00	18.66	0.00
the:DT	20.50	20.00	20.00	0.00	20.50	20.00	20.00	20.00	10.00
way:NN	7.97	12.53	10.78	20.00	8.02	8.03	6.96	6.95	16.60
the:DT	20.50	20.00	20.00	0.00	20.50	20.00	20.00	20.00	10.00
plane:NN	8.53	12.45	12.44	20.00	9.84	4.07	7.02	7.44	19.75
stopped:VBD	12.56	4.55	6.89	20.00	13.02	12.72	13.72	12.06	18.36
Rome:NNP	14.34	15.50	13.02	20.50	0.00	9.70	10.50	6.57	20.50
.:.	20.50	17.99	18.93	10.00	20.50	20.00	20.00	18.66	0.00
Steve:NNP	8.58	15.46	15.46	20.50	14.96	10.46	10.46	10.46	20.50
,:,	20.50	19.80	20.00	10.00	20.50	20.00	19.94	18.60	5.73
who:WP	12.50	15.00	15.00	20.00	12.50	12.00	12.00	12.00	20.00
was:VBD	14.84	10.00	7.52	20.00	11.83	14.34	15.00	12.11	20.00
sitting:VBG	11.18	7.85	6.90	20.00	12.02	13.96	15.00	13.69	19.32
John:NNP	0.00	13.35	12.27	20.50	14.34	8.53	10.50	6.11	20.50
,:,	20.50	19.80	20.00	10.00	20.50	20.00	19.94	18.60	5.73
got_down:VBD	14.52	7.45	7.45	20.00	15.17	14.47	15.00	14.47	20.00
Rome:NNP	14.34	15.50	13.02	20.50	0.00	9.70	10.50	6.57	20.50
.:.	20.50	17.99	18.93	10.00	20.50	20.00	20.00	18.66	0.00
NO_WORD	10.00	1.00	10.00	1.00	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -31.5797
Features matched: Adjunct.dropPosCxt: text adjunct "Paris" of "took" dropped on aligned hyp word "pass"; NullPunisher.article: the; NullPunisher.aux: did; RootEntailment.poorlyAlignedRoot: "pass" aligned badly to "took"; Structure.relMismatch: text "Baghdad" is prep_to of "took" while hyp "area" is prep_through of "pass" which aligned to text "took"
Hand-tuned score: -1.6500
Threshold: -11.4590

Inference ID: ATM1-7

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome. Steve, who was sitting next to John, got down in Rome.

Hyp: Steve did pass through the Rome airport customs area . (yes)

	Steve NNP	did VBD	pass VB	the DT	Rome NNP	airport NN	customs NNS	area NN	. .
John:NNP	8.58	13.35	12.27	20.50	14.34	8.53	10.50	6.11	20.50
took:VBD	15.46	6.90	4.98	20.00	15.50	15.00	11.96	15.00	18.92
the:DT	20.50	20.00	20.00	0.00	20.50	20.00	20.00	20.00	10.00
plane:NN	10.46	12.45	12.44	20.00	9.84	4.07	7.02	7.44	19.75
Paris:NNP	14.96	15.50	13.02	20.50	3.98	9.61	10.50	6.57	20.50
Baghdad:NNP	14.96	15.50	13.02	20.50	3.98	9.84	10.50	6.57	20.50
.:.	20.50	17.99	18.93	10.00	20.50	20.00	20.00	18.66	0.00
the:DT	20.50	20.00	20.00	0.00	20.50	20.00	20.00	20.00	10.00
way:NN	10.46	12.53	10.78	20.00	8.02	8.03	6.96	6.95	16.60
the:DT	20.50	20.00	20.00	0.00	20.50	20.00	20.00	20.00	10.00
plane:NN	10.46	12.45	12.44	20.00	9.84	4.07	7.02	7.44	19.75
stopped:VBD	15.46	4.55	6.89	20.00	13.02	12.72	13.72	12.06	18.36
Rome:NNP	14.96	15.50	13.02	20.50	0.00	9.70	10.50	6.57	20.50
.:.	20.50	17.99	18.93	10.00	20.50	20.00	20.00	18.66	0.00
Steve:NNP	0.00	15.46	15.46	20.50	14.96	10.46	10.46	10.46	20.50
,:,	20.50	19.80	20.00	10.00	20.50	20.00	19.94	18.60	5.73
who:WP	12.50	15.00	15.00	20.00	12.50	12.00	12.00	12.00	20.00
was:VBD	15.46	10.00	7.52	20.00	11.83	14.34	15.00	12.11	20.00
sitting:VBG	15.46	7.85	6.90	20.00	12.02	13.96	15.00	13.69	19.32
John:NNP	8.58	13.35	12.27	20.50	14.34	8.53	10.50	6.11	20.50
,:,	20.50	19.80	20.00	10.00	20.50	20.00	19.94	18.60	5.73
got_down:VBD	15.46	7.45	7.45	20.00	15.17	14.47	15.00	14.47	20.00
Rome:NNP	14.96	15.50	13.02	20.50	0.00	9.70	10.50	6.57	20.50
.:.	20.50	17.99	18.93	10.00	20.50	20.00	20.00	18.66	0.00
NO_WORD	10.00	1.00	10.00	1.00	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -33.5797
Features matched: Adjunct.dropPosCxt: text adjunct "Paris" of "took" dropped on aligned hyp word "pass"; NullPunisher.aux: did; NullPunisher.article: the; RootEntailment.poorlyAlignedRoot: "pass" aligned badly to "took"; Structure.argsMismatch: args have different parents but same relations: text "Steve" <-nsubj-- "sitting vs. hyp "Steve" <-nsubj-- "pass", which aligned to text "took" args have different parents but same relations: text "Steve" <-nsubj-- "got_down vs. hyp "Steve" <-nsubj-- "pass", which aligned to text "took" text "Baghdad" is prep_to of "took" while hyp "area" is prep_through of "pass" which aligned to text "took"
Hand-tuned score: -3.6500
Threshold: -11.4590

Inference ID: ATM2-1

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome, where John was arrested.

Hyp: John is in Baghdad . (no)

	John NNP	is VBZ	Baghdad NNP	. .
John:NNP	0.00	14.84	14.34	20.50
took:VBD	15.50	4.35	15.50	18.92
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
Paris:NNP	14.34	14.84	3.98	20.50
Baghdad:NNP	14.34	14.84	0.00	20.50
.:.	20.50	20.00	20.50	0.00
the:DT	20.50	20.00	20.50	10.00
way:NN	7.97	14.34	8.02	16.60
the:DT	20.50	20.00	20.50	10.00
plane:NN	8.53	14.34	9.84	19.75
stopped:VBD	12.56	9.34	13.02	18.36
Rome:NNP	14.34	14.84	3.98	20.50
,:,	20.50	20.00	20.50	5.73
where:WRB	20.46	19.96	20.46	10.00
John:NNP	0.00	14.84	14.34	20.50
was:VBD	14.84	0.50	11.83	20.00
arrested:VBN	15.50	10.00	15.50	20.00
.:.	20.50	20.00	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -5.3499
Features matched: Adjunct.dropPosCxt: text adjunct "Paris" of "took" dropped on aligned hyp word "is"; Location.mismatch: no clear info of matching: be(X, prep_in); RootEntailment.poorlyAlignedRoot: "is" aligned badly to "took"; Structure.relMismatch: text "Baghdad" is prep_to of "took" while hyp "Baghdad" is prep_in of "is" which aligned to text "took"
Hand-tuned score: -3.5000
Threshold: -11.4590

Inference ID: ATM2-2

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome, where John was arrested.

Hyp: John is WH[LOCATION] . (Rome)

	John NNP	is VBZ	WH[LOCATION] JJ	. .
John:NNP	0.00	14.84	0.00	20.50
took:VBD	15.50	4.35	17.50	18.92
the:DT	20.50	20.00	17.50	10.00
plane:NN	8.53	14.34	0.00	19.75
Paris:NNP	14.34	14.84	0.00	20.50
Baghdad:NNP	14.34	14.84	0.00	20.50
.:.	20.50	20.00	17.50	0.00
the:DT	20.50	20.00	17.50	10.00
way:NN	7.97	14.34	0.00	16.60
the:DT	20.50	20.00	17.50	10.00
plane:NN	8.53	14.34	0.00	19.75
stopped:VBD	12.56	9.34	17.50	18.36
Rome:NNP	14.34	14.84	0.00	20.50
,:,	20.50	20.00	17.50	5.73
where:WRB	20.46	19.96	17.50	10.00
John:NNP	0.00	14.84	0.00	20.50
was:VBD	14.84	0.50	17.50	20.00
arrested:VBN	15.50	10.00	17.50	20.00
.:.	20.50	20.00	17.50	0.00
NO_WORD	10.00	1.00	9.00	10.00

Response: Paris (INCORRECT)
Justification:
Alignment score: -5.0000
Features matched: NullPunisher.aux: is; Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "took vs. hyp "John" <-nsubj-- "WH[LOCATION]", which aligned to text "Paris" args have different parents but same relations: text "." <-punct-- "took vs. hyp "." <-punct-- "WH[LOCATION]", which aligned to text "Paris"
Hand-tuned score: -2.0500
Threshold: -11.4590

Inference ID: ATM2-3

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome, where John was arrested.

Hyp: John did pass through the Rome airport customs . (maybe)

	John NNP	did VBD	pass VB	the DT	Rome NNP	airport NN	customs NNS	. .
John:NNP	0.00	13.35	12.27	20.50	14.34	8.53	10.50	20.50
took:VBD	15.50	6.90	4.98	20.00	15.50	15.00	11.96	18.92
the:DT	20.50	20.00	20.00	0.00	20.50	20.00	20.00	10.00
plane:NN	8.53	12.45	12.44	20.00	9.84	4.07	7.02	19.75
Paris:NNP	14.34	15.50	13.02	20.50	3.98	9.61	10.50	20.50
Baghdad:NNP	14.34	15.50	13.02	20.50	3.98	9.84	10.50	20.50
.:.	20.50	17.99	18.93	10.00	20.50	20.00	20.00	0.00
the:DT	20.50	20.00	20.00	0.00	20.50	20.00	20.00	10.00
way:NN	7.97	12.53	10.78	20.00	8.02	8.03	6.96	16.60
the:DT	20.50	20.00	20.00	0.00	20.50	20.00	20.00	10.00
plane:NN	8.53	12.45	12.44	20.00	9.84	4.07	7.02	19.75
stopped:VBD	12.56	4.55	6.89	20.00	13.02	12.72	13.72	18.36
Rome:NNP	14.34	15.50	13.02	20.50	0.00	9.70	10.50	20.50
,:,	20.50	19.80	20.00	10.00	20.50	20.00	19.94	5.73
where:WRB	20.46	19.96	19.96	10.00	20.46	19.96	19.96	10.00
John:NNP	0.00	13.35	12.27	20.50	14.34	8.53	10.50	20.50
was:VBD	14.84	10.00	7.52	20.00	11.83	14.34	15.00	20.00
arrested:VBN	15.50	9.94	5.88	20.00	15.50	12.52	11.82	20.00
.:.	20.50	17.99	18.93	10.00	20.50	20.00	20.00	0.00
NO_WORD	10.00	1.00	10.00	1.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -23.0067
Features matched: Adjunct.dropPosCxt: text adjunct "Baghdad" of "took" dropped on aligned hyp word "pass"; NullPunisher.aux: did; RootEntailment.poorlyAlignedRoot: "pass" aligned badly to "took"; Structure.parentsMismatch: args have different parents, different relations: text "way" <-prep_on-- "stopped" vs. hyp "customs" <-prep_through-- "pass", which aligned to text "took"
Hand-tuned score: -3.5500
Threshold: -11.4590

Inference ID: ATM2-4

Txt: John took the plane from Paris to Baghdad. On the way the plane stopped in Rome, where John was arrested.

Hyp: The plane is in Baghdad . (yes)

	The DT	plane NN	is VBZ	Baghdad NNP	. .
John:NNP	20.50	8.53	14.84	14.34	20.50
took:VBD	20.00	12.38	4.35	15.50	18.92
the:DT	0.00	20.00	20.00	20.50	10.00
plane:NN	20.00	0.00	14.34	9.84	19.75
Paris:NNP	20.50	9.84	14.84	3.98	20.50
Baghdad:NNP	20.50	9.84	14.84	0.00	20.50
.:.	10.00	19.75	20.00	20.50	0.00
the:DT	0.00	20.00	20.00	20.50	10.00
way:NN	20.00	7.44	14.34	8.02	16.60
the:DT	0.00	20.00	20.00	20.50	10.00
plane:NN	20.00	0.00	14.34	9.84	19.75
stopped:VBD	20.00	9.68	9.34	13.02	18.36
Rome:NNP	20.50	9.84	14.84	3.98	20.50
,:,	10.00	19.91	20.00	20.50	5.73
where:WRB	10.00	19.96	19.96	20.46	10.00
John:NNP	20.50	8.53	14.84	14.34	20.50
was:VBD	20.00	14.34	0.50	11.83	20.00
arrested:VBN	20.00	12.44	10.00	15.50	20.00
.:.	10.00	19.75	20.00	20.50	0.00
NO_WORD	1.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -6.5000
Features matched: Factive.inPositiveEmbedding: embedded positive text; Location.mismatch: no clear info of matching: be(X, prep_in); Structure.argsMismatch: args have different parents but same relations: text "plane" <-nsubj-- "stopped vs. hyp "plane" <-nsubj-- "is", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "took vs. hyp "." <-punct-- "is", which aligned to text "was" args have different parents, different relations: text "Baghdad" <-prep_to-- "took" vs. hyp "Baghdad" <-prep_in-- "is", which aligned to text "was"
Hand-tuned score: -3.0000
Threshold: -11.4590

Inference ID: ATM3-1

Txt: John is a US citizen. He is in Boston on Dec 1. That day he applied for the passport.

Hyp: He can go to Paris on Dec. 1 . (no)

	He PRP	can MD	go VB	Paris NNP	Dec. NNP	1 CD	. .
John:NNP	12.50	12.58	13.58	14.34	14.96	23.69	20.50
is:VBZ	15.00	19.34	6.07	14.84	15.46	20.50	20.00
a:DT	20.00	10.00	20.00	20.50	20.50	20.50	10.00
US:NNP	12.50	19.84	14.84	6.33	14.96	25.00	20.50
citizen:NN	12.00	18.95	13.08	9.84	10.46	20.50	20.00
.:.	20.00	10.00	18.37	20.50	20.50	18.29	0.00
He:PRP	0.00	20.00	15.00	12.50	12.50	20.50	20.00
is:VBZ	15.00	19.34	6.07	14.84	15.46	20.50	20.00
Boston:NNP	12.50	19.84	14.84	4.34	14.96	25.00	20.50
Dec:NNP	12.00	17.84	12.23	8.02	6.21	18.34	20.00
1:CD	20.50	18.34	18.34	25.00	24.96	5.00	18.29
.:.	20.00	10.00	18.37	20.50	20.50	18.29	0.00
That:DT	20.00	10.00	20.00	20.50	20.50	20.50	10.00
day:NN	12.00	17.84	8.57	9.84	10.46	18.34	18.14
he:PRP	0.00	20.00	15.00	12.50	12.50	20.50	20.00
applied:VBD	15.00	20.00	8.07	15.50	15.46	16.93	19.34
the:DT	20.00	10.00	20.00	20.50	20.50	20.50	10.00
passport:NN	12.00	17.85	13.69	10.50	10.46	19.19	20.00
.:.	20.00	10.00	18.37	20.50	20.50	18.29	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -32.6266
Features matched: Date.hypDateModifierIns: extra modifiers in hypothesis, with not equivalent normalized forms, but matching heads: Dec.; Modal.yes: actual -> possible; NullPunisher.aux: can; Quant.contract: [1,1]; RootEntailment.poorlyAlignedRoot: "go" aligned badly to "is"; Structure.relMismatch: text "Boston" is prep_in of "is" while hyp "Paris" is prep_to of "go" which aligned to text "is"
Hand-tuned score: -0.0500
Threshold: -11.4590

Inference ID: ATM3-2

Txt: John is a US citizen. He is in Boston on Dec 1. That day he applied for the passport.

Hyp: He can go to Paris on Dec 14th . (maybe)

	He PRP	can MD	go VB	Paris NNP	Dec NNP	14th CD	. .
John:NNP	12.50	12.58	13.58	14.34	9.19	24.96	20.50
is:VBZ	15.00	19.34	6.07	14.84	14.34	20.46	20.00
a:DT	20.00	10.00	20.00	20.50	20.00	20.50	10.00
US:NNP	12.50	19.84	14.84	6.33	8.02	24.96	20.50
citizen:NN	12.00	18.95	13.08	9.84	9.34	19.27	20.00
.:.	20.00	10.00	18.37	20.50	20.00	20.45	0.00
He:PRP	0.00	20.00	15.00	12.50	12.00	20.50	20.00
is:VBZ	15.00	19.34	6.07	14.84	14.34	20.46	20.00
Boston:NNP	12.50	19.84	14.84	4.34	8.02	24.96	20.50
Dec:NNP	12.00	17.84	12.23	8.02	0.00	20.46	20.00
1:CD	20.50	18.34	18.34	25.00	18.34	5.00	18.29
.:.	20.00	10.00	18.37	20.50	20.00	20.45	0.00
That:DT	20.00	10.00	20.00	20.50	20.00	20.50	10.00
day:NN	12.00	17.84	8.57	9.84	7.23	20.46	18.14
he:PRP	0.00	20.00	15.00	12.50	12.00	20.50	20.00
applied:VBD	15.00	20.00	8.07	15.50	15.00	19.62	19.34
the:DT	20.00	10.00	20.00	20.50	20.00	20.50	10.00
passport:NN	12.00	17.85	13.69	10.50	7.53	19.24	20.00
.:.	20.00	10.00	18.37	20.50	20.00	20.45	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -26.4123
Features matched: Modal.yes: actual -> possible; NullPunisher.aux: can; Numeric.mismatch: NUMBER mismatch: '14.0' vs '1.0'; RootEntailment.poorlyAlignedRoot: "go" aligned badly to "is"; Structure.relMismatch: text "Boston" is prep_in of "is" while hyp "Paris" is prep_to of "go" which aligned to text "is"
Hand-tuned score: -6.0500
Threshold: -11.4590

Inference ID: ATM3-3

Txt: John is a US citizen. He is in Boston on Dec 1. That day he applied for the passport.

Hyp: He can go to Paris on the Jan 10th . (yes)

	He PRP	can MD	go VB	Paris NNP	the DT	Jan NNP	10th NN	. .
John:NNP	12.50	12.58	13.58	14.34	20.50	8.69	10.46	20.50
is:VBZ	15.00	19.34	6.07	14.84	20.00	15.50	14.96	20.00
a:DT	20.00	10.00	20.00	20.50	10.00	20.50	20.00	10.00
US:NNP	12.50	19.84	14.84	6.33	20.50	15.00	10.46	20.50
citizen:NN	12.00	18.95	13.08	9.84	20.00	10.50	7.29	20.00
.:.	20.00	10.00	18.37	20.50	10.00	20.50	20.00	0.00
He:PRP	0.00	20.00	15.00	12.50	20.00	12.50	12.00	20.00
is:VBZ	15.00	19.34	6.07	14.84	20.00	15.50	14.96	20.00
Boston:NNP	12.50	19.84	14.84	4.34	20.50	15.00	10.46	20.50
Dec:NNP	12.00	17.84	12.23	8.02	20.00	5.07	9.96	20.00
1:CD	20.50	18.34	18.34	25.00	20.50	22.84	20.46	18.29
.:.	20.00	10.00	18.37	20.50	10.00	20.50	20.00	0.00
That:DT	20.00	10.00	20.00	20.50	10.00	20.50	20.00	10.00
day:NN	12.00	17.84	8.57	9.84	20.00	7.73	7.42	18.14
he:PRP	0.00	20.00	15.00	12.50	18.00	12.50	12.00	20.00
applied:VBD	15.00	20.00	8.07	15.50	20.00	15.50	14.77	19.34
the:DT	20.00	10.00	20.00	20.50	0.00	20.50	20.00	10.00
passport:NN	12.00	17.85	13.69	10.50	20.00	9.19	8.29	20.00
.:.	20.00	10.00	18.37	20.50	10.00	20.50	20.00	0.00
NO_WORD	10.00	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -38.7711
Features matched: Adjunct.dropPosCxt: text adjunct "1" of "Dec" dropped on aligned hyp word "Jan"; Modal.yes: actual -> possible; NullPunisher.aux: can; RootEntailment.poorlyAlignedRoot: "go" aligned badly to "is"; Structure.relMismatch: text "Boston" is prep_in of "is" while hyp "Paris" is prep_to of "go" which aligned to text "is"
Hand-tuned score: 0.4500
Threshold: -11.4590

Inference ID: ATM4-1

Txt: John, who always carries his laptop with him, took a flight from Boston to Paris on the morning of Dec 11th.

Hyp: John 's laptop is In WH[city] city on the evening of Dec 10th . (Boston)

	John NNP	laptop NN	is VBZ	WH[city] JJ	city NN	the DT	evening NN	Dec JJ	10th NN	. .
John:NNP	0.00	8.53	14.84	0.00	9.84	20.50	9.19	15.69	10.46	20.50
,:,	20.50	19.79	20.00	20.00	20.00	10.00	19.54	20.50	20.00	5.73
who:WP	12.50	12.00	15.00	20.00	12.00	20.00	12.00	15.50	12.00	20.00
always:RB	15.46	14.96	19.96	0.00	14.96	20.00	14.96	12.46	14.96	20.00
carries:VBZ	15.50	13.35	7.74	0.00	15.00	20.00	14.78	12.50	13.38	20.00
his:PRP$	12.50	12.00	13.00	20.00	12.00	20.00	12.00	15.50	12.00	20.00
laptop:NN	8.53	0.00	14.34	0.00	9.34	20.00	10.00	11.84	9.02	20.00
him:PRP	12.50	12.00	15.00	20.00	12.00	20.00	12.00	15.50	12.00	20.00
,:,	20.50	19.79	20.00	20.00	20.00	10.00	19.54	20.50	20.00	5.73
took:VBD	15.50	15.00	4.35	0.00	15.00	20.00	12.98	12.50	10.97	18.92
a:DT	20.50	20.00	20.00	20.00	20.00	10.00	20.00	20.50	20.00	10.00
flight:NN	8.32	8.03	14.34	0.00	7.81	20.00	6.55	11.84	8.32	20.00
Boston:NNP	14.34	9.84	14.84	0.00	5.90	20.50	10.50	14.52	10.46	20.50
Paris:NNP	14.34	9.84	14.84	0.00	5.90	20.50	10.50	14.52	10.46	20.50
the:DT	20.50	20.00	20.00	20.00	20.00	0.00	20.00	20.50	20.00	10.00
morning:NN	12.82	10.50	15.50	0.00	10.35	20.50	2.96	14.23	10.15	18.27
Dec:NNP	13.69	9.84	14.84	0.00	8.02	20.50	7.73	0.00	10.46	20.50
11th:JJ	12.46	11.58	11.96	0.00	11.96	20.00	11.01	10.46	3.13	20.00
.:.	20.50	20.00	20.00	20.00	19.66	10.00	19.42	20.50	20.00	0.00
NO_WORD	10.00	10.00	10.00	9.00	10.00	1.00	10.00	9.00	10.00	10.00

Response: John (INCORRECT)
Justification:
Alignment score: -29.3381
Features matched: Adjunct.dropPosCxt: text adjunct "carries" of "John" dropped on aligned hyp word "WH[city]"; Location.mismatch: no clear info of matching: be(X, prep_in); RootEntailment.poorlyAlignedRoot: "is" aligned badly to "took"; Structure.relMismatch: noun args have different parents but same relations: "WH[city]": "carries" vs. "city" text "Paris" is prep_to of "took" while hyp "city" is prep_in of "is" which aligned to text "took"
Hand-tuned score: -3.5000
Threshold: -11.4590

Inference ID: ATM4-2

Txt: John, who always carries his laptop with him, took a flight from Boston to Paris on the morning of Dec 11th.

Hyp: John 's laptop is In WH[city] city on the evening of Dec 11th . (Paris)

	John NNP	laptop NN	is VBZ	WH[city] JJ	city NN	the DT	evening NN	Dec NNP	11th JJ	. .
John:NNP	0.00	8.53	14.84	0.00	9.84	20.50	9.19	13.69	12.46	20.50
,:,	20.50	19.79	20.00	20.00	20.00	10.00	19.54	20.50	19.94	5.73
who:WP	12.50	12.00	15.00	20.00	12.00	20.00	12.00	12.50	15.00	20.00
always:RB	15.46	14.96	19.96	0.00	14.96	20.00	14.96	15.46	11.96	20.00
carries:VBZ	15.50	13.35	7.74	0.00	15.00	20.00	14.78	15.50	10.10	20.00
his:PRP$	12.50	12.00	13.00	20.00	12.00	20.00	12.00	12.50	15.00	20.00
laptop:NN	8.53	0.00	14.34	0.00	9.34	20.00	10.00	9.84	11.58	20.00
him:PRP	12.50	12.00	15.00	20.00	12.00	20.00	12.00	12.50	15.00	20.00
,:,	20.50	19.79	20.00	20.00	20.00	10.00	19.54	20.50	19.94	5.73
took:VBD	15.50	15.00	4.35	0.00	15.00	20.00	12.98	15.50	8.31	18.92
a:DT	20.50	20.00	20.00	20.00	20.00	10.00	20.00	20.50	20.00	10.00
flight:NN	8.32	8.03	14.34	0.00	7.81	20.00	6.55	9.84	10.85	20.00
Boston:NNP	14.34	9.84	14.84	0.00	5.90	20.50	10.50	12.52	12.46	20.50
Paris:NNP	14.34	9.84	14.84	0.00	5.90	20.50	10.50	12.52	12.46	20.50
the:DT	20.50	20.00	20.00	20.00	20.00	0.00	20.00	20.50	20.00	10.00
morning:NN	12.82	10.50	15.50	0.00	10.35	20.50	2.96	12.23	12.08	18.27
Dec:NNP	13.69	9.84	14.84	0.00	8.02	20.50	7.73	0.00	12.46	20.50
11th:JJ	12.46	11.58	11.96	0.00	11.96	20.00	11.01	12.46	0.00	20.00
.:.	20.50	20.00	20.00	20.00	19.66	10.00	19.42	20.50	20.00	0.00
NO_WORD	10.00	10.00	10.00	9.00	10.00	1.00	10.00	10.00	9.00	10.00

Response: laptop (INCORRECT)
Justification:
Alignment score: -24.2064
Features matched: Adjunct.dropPosCxt: text adjunct "Boston" of "took" dropped on aligned hyp word "is"; RootEntailment.poorlyAlignedRoot: "is" aligned badly to "took"; Structure.argsMismatch: args have different parents but same relations: text "11th" <-advmod-- "Dec vs. hyp "11th" <-advmod-- "is", which aligned to text "took" args have different parents, different relations: text "laptop" <-dobj-- "carries" vs. hyp "laptop" <-nsubj-- "is", which aligned to text "took" noun args have different parents but same relations: "WH[city]": "carries" vs. "city" text "Paris" is prep_to of "took" while hyp "city" is prep_in of "is" which aligned to text "took"
Hand-tuned score: -3.5000
Threshold: -11.4590

Inference ID: ATM5-1

Txt: John, who travels abroad often, is at home in Boston and receives a call that he must immediately go to Paris.

Hyp: He just can get on a plane and fly to Paris . (No)

	He PRP	just RB	can MD	get VB	a DT	plane NN	fly VB	Paris NNP	. .
John:NNP	12.50	15.46	12.58	15.50	20.50	8.53	13.53	14.34	20.50
,:,	20.00	17.47	10.00	19.64	10.00	19.91	19.45	20.50	5.73
who:WP	10.00	20.00	18.57	15.00	20.00	12.00	15.00	12.50	20.00
travels:VBZ	15.00	19.96	20.00	10.00	20.00	12.45	3.21	15.50	20.00
abroad:RB	15.00	9.96	19.96	19.74	20.00	14.96	18.35	15.46	19.14
often:RB	15.00	9.96	19.96	19.96	20.00	14.96	19.96	15.46	20.00
,:,	20.00	17.47	10.00	19.64	10.00	19.91	19.45	20.50	5.73
is:VBZ	15.00	19.96	19.34	5.51	20.00	14.34	9.34	14.84	20.00
at_home:IN	20.00	20.00	20.00	20.00	20.00	20.00	20.00	20.50	20.00
Boston:NNP	12.50	15.46	19.84	15.50	20.50	9.84	14.84	4.34	20.50
receives:VBZ	15.00	19.96	20.00	4.73	20.00	12.45	7.45	15.50	20.00
a:DT	20.00	20.00	10.00	20.00	0.00	20.00	20.00	20.50	10.00
call:NN	12.00	14.79	15.67	12.62	20.00	7.12	12.12	9.84	19.11
that:IN	20.00	20.00	20.00	20.00	20.00	20.00	20.00	20.50	20.00
he:PRP	0.00	20.00	20.00	15.00	20.00	12.00	15.00	12.50	20.00
must:MD	20.00	15.00	6.88	20.00	10.00	17.53	19.34	19.84	10.00
immediately:RB	15.00	9.96	19.96	19.92	20.00	11.35	18.86	15.46	16.49
go:VB	15.00	14.23	17.84	0.00	20.00	12.45	1.00	14.84	18.37
Paris:NNP	12.50	15.46	19.84	15.50	20.50	9.84	14.84	0.00	20.50
.:.	20.00	16.65	10.00	17.78	10.00	19.75	19.77	20.50	0.00
NO_WORD	10.00	9.00	10.00	10.00	1.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -36.6734
Features matched: Adjunct.addPosCxt: hyp added just[just-RB]; Adjunct.dropPosCxt: text adjunct "often" of "travels" dropped on aligned hyp word "fly"; Factive.inPositiveEmbedding: embedded positive text; Modal.yes: necessary -> possible; NullPunisher.other: just; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "is vs. hyp "." <-punct-- "get", which aligned to text "go" args have different parents, different relations: text "call" <-dobj-- "receives" vs. hyp "plane" <-prep_on-- "get", which aligned to text "go" args have different parents, different relations: text "travels" <-rcmod-- "John" vs. hyp "fly" <-conj_and-- "get", which aligned to text "go"
Hand-tuned score: 0.5000
Threshold: -11.4590

Inference ID: ATM5-2

Txt: John, who travels abroad often, is at home in Boston and receives a call that he must immediately go to Paris.

Hyp: He does need to do to be in Paris WH[] . (buy a ticket; get to the airport; get on the plane)

	He PRP	does VBZ	need VB	to TO	do VB	to TO	be VB	Paris NNP	WH[] NNP	. .
John:NNP	12.50	13.61	13.40	20.50	13.35	20.50	14.84	14.34	0.00	20.50
,:,	20.00	19.26	19.63	10.00	19.52	10.00	20.00	20.50	20.00	5.73
who:WP	10.00	15.00	15.00	20.00	15.00	20.00	15.00	12.50	20.00	20.00
travels:VBZ	15.00	9.01	10.00	20.00	7.45	20.00	10.00	15.50	0.00	20.00
abroad:RB	15.00	19.96	19.08	20.00	19.96	20.00	19.96	15.46	0.00	19.14
often:RB	15.00	19.96	19.96	20.00	19.96	20.00	19.96	15.46	0.00	20.00
,:,	20.00	19.26	19.63	10.00	19.52	10.00	20.00	20.50	20.00	5.73
is:VBZ	15.00	9.34	8.33	20.00	6.07	20.00	0.31	14.84	0.00	20.00
at_home:IN	20.00	20.00	20.00	20.00	20.00	20.00	20.00	20.50	20.00	20.00
Boston:NNP	12.50	14.84	14.84	20.50	15.50	20.50	14.84	4.34	0.00	20.50
receives:VBZ	15.00	7.26	8.66	20.00	7.45	20.00	10.00	15.50	0.00	20.00
a:DT	20.00	20.00	20.00	10.00	20.00	10.00	20.00	20.50	20.00	10.00
call:NN	12.00	13.95	12.90	20.00	10.67	20.00	12.74	9.84	0.00	19.11
that:IN	20.00	20.00	20.00	20.00	20.00	20.00	20.00	20.50	20.00	20.00
he:PRP	0.00	15.00	15.00	20.00	15.00	20.00	15.00	12.50	20.00	20.00
must:MD	20.00	19.34	13.41	10.00	17.53	10.00	17.34	19.84	0.00	10.00
immediately:RB	15.00	19.96	19.96	20.00	19.96	20.00	19.96	15.46	0.00	16.49
go:VB	15.00	8.25	5.56	20.00	1.00	20.00	6.07	14.84	0.00	18.37
Paris:NNP	12.50	13.63	14.84	20.50	15.50	20.50	14.84	0.00	0.00	20.50
.:.	20.00	20.00	18.42	10.00	18.81	10.00	20.00	20.50	20.00	0.00
NO_WORD	10.00	1.00	10.00	10.00	10.00	10.00	10.00	10.00	10.00	10.00

Response: Boston (INCORRECT)
Justification:
Alignment score: -41.1957
Features matched: Adjunct.dropPosCxt: text adjunct "at_home" of "is" dropped on aligned hyp word "be"; Factive.inPositiveEmbedding: embedded positive text; Modal.yes: necessary -> actual; NullPunisher.functionWord: to; NullPunisher.aux: does; RootEntailment.poorlyAlignedRoot: "need" aligned badly to "go"; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "is vs. hyp "." <-punct-- "need", which aligned to text "go" args have different parents, different relations: text "go" <-ccomp-- "receives" vs. hyp "do" <-xcomp-- "need", which aligned to text "go" args have different parents, different relations: text "go" <-rcmod-- "call" vs. hyp "do" <-xcomp-- "need", which aligned to text "go"
Hand-tuned score: -0.6500
Threshold: -11.4590

Inference ID: ATM6-1

Txt: John spent December 10 in Paris and took a plane to Baghdad the next morning. He was planning to meet Bob who was waiting for him there.

Hyp: John was in the Middle_East in mid-December . (yes)

	John NNP	was VBD	the DT	Middle_East NNP	mid-December NN	. .
John:NNP	0.00	14.84	20.50	9.23	13.69	20.50
spent:VBD	15.50	10.00	20.00	15.00	15.50	20.00
December:NNP	13.69	15.50	20.50	9.42	2.00	20.50
10:CD	23.69	20.50	20.50	19.42	17.84	19.16
Paris:NNP	14.34	11.83	20.50	6.79	15.00	20.50
took:VBD	15.50	10.00	20.00	13.26	15.50	18.92
a:DT	20.50	20.00	10.00	20.00	20.50	10.00
plane:NN	8.53	14.34	20.00	8.82	9.19	19.75
Baghdad:NNP	14.34	11.83	20.50	6.79	15.00	20.50
the:DT	20.50	20.00	0.00	20.00	20.50	10.00
next:JJ	12.46	11.96	20.00	11.96	12.46	20.00
morning:NN	8.32	15.00	20.00	8.91	7.73	17.77
.:.	20.50	20.00	10.00	20.00	20.50	0.00
He:PRP	12.50	15.00	20.00	12.00	12.50	20.00
was:VBD	14.84	0.00	20.00	12.11	15.50	20.00
planning:VBG	13.32	10.00	20.00	13.91	15.50	19.49
to:TO	20.50	20.00	10.00	20.00	20.50	10.00
meet:VB	15.50	10.00	20.00	15.00	15.50	19.52
Bob:NNP	8.03	14.84	20.50	8.84	12.84	20.50
who:WP	12.50	15.00	20.00	12.00	12.50	20.00
was:VBD	14.84	0.00	20.00	12.11	15.50	20.00
waiting:VBG	15.50	10.00	20.00	15.00	15.50	18.98
him:PRP	12.50	15.00	20.00	12.00	12.50	20.00
there:RB	14.84	17.52	20.00	12.52	15.50	20.00
.:.	20.50	20.00	10.00	20.00	20.50	0.00
NO_WORD	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -20.7913
Features matched: Adjunct.dropPosCxt: text adjunct "10" of "December" dropped on aligned hyp word "mid-December"; Date.dateHeadMismatch: mid-December vs. December; Location.mismatch: no clear info of matching: be(X, prep_in); NullPunisher.article: the; Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "spent vs. hyp "John" <-nsubj-- "was", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "planning vs. hyp "." <-punct-- "was", which aligned to text "was" args have different parents, different relations: text "Baghdad" <-prep_to-- "took" vs. hyp "Middle_East" <-prep_in-- "was", which aligned to text "was"
Hand-tuned score: -6.6000
Threshold: -11.4590

Inference ID: ATM6-2

Txt: John spent December 10 in Paris and took a plane to Baghdad the next morning. He was planning to meet Bob who was waiting for him there.

Hyp: He did meet Bob in the Middle_East in mid-December . (yes)

	He PRP	did VBD	meet VB	Bob NNP	the DT	Middle_East NNP	mid-December NN	. .
John:NNP	12.50	13.35	15.50	8.03	20.50	9.23	13.69	20.50
spent:VBD	15.00	4.70	7.02	15.50	20.00	15.00	15.50	20.00
December:NNP	12.50	14.19	15.50	12.84	20.50	9.42	2.00	20.50
10:CD	20.50	19.19	20.50	21.46	20.50	19.42	17.84	19.16
Paris:NNP	12.50	15.50	15.50	14.34	20.50	6.79	15.00	20.50
took:VBD	15.00	6.90	7.61	12.33	20.00	13.26	15.50	18.92
a:DT	20.00	20.00	20.00	20.50	10.00	20.00	20.50	10.00
plane:NN	12.00	12.45	12.61	5.53	20.00	8.82	9.19	19.75
Baghdad:NNP	12.50	15.50	15.50	14.34	20.50	6.79	15.00	20.50
the:DT	20.00	20.00	20.00	20.50	0.00	20.00	20.50	10.00
next:JJ	15.00	11.96	11.96	12.46	20.00	11.96	12.46	20.00
morning:NN	12.00	12.69	12.47	8.34	20.00	8.91	7.73	17.77
.:.	20.00	17.99	19.52	20.50	10.00	20.00	20.50	0.00
He:PRP	0.00	15.00	15.00	12.50	20.00	12.00	12.50	20.00
was:VBD	15.00	10.00	10.00	14.84	20.00	12.11	15.50	20.00
planning:VBG	15.00	10.00	6.47	13.85	20.00	13.91	15.50	19.49
to:TO	20.00	20.00	20.00	20.50	10.00	20.00	20.50	10.00
meet:VB	15.00	5.11	0.00	15.50	20.00	15.00	15.50	19.52
Bob:NNP	12.50	7.56	15.50	0.00	20.50	8.84	12.84	20.50
who:WP	10.00	15.00	15.00	12.50	20.00	12.00	12.50	20.00
was:VBD	15.00	10.00	10.00	14.84	20.00	12.11	15.50	20.00
waiting:VBG	15.00	10.00	7.30	13.85	20.00	15.00	15.50	18.98
him:PRP	0.50	15.00	15.00	12.50	20.00	12.00	12.50	20.00
there:RB	15.00	20.00	20.00	14.84	20.00	12.52	15.50	20.00
.:.	20.00	17.99	19.52	20.50	10.00	20.00	20.50	0.00
NO_WORD	10.00	1.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -21.7913
Features matched: Adjunct.dropPosCxt: text adjunct "10" of "December" dropped on aligned hyp word "mid-December"; Date.dateHeadMismatch: mid-December vs. December; NullPunisher.aux: did; NullPunisher.article: the; Structure.argsMismatch: args have different parents but same relations: text "He" <-nsubj-- "planning vs. hyp "He" <-nsubj-- "meet", which aligned to text "meet" args have different parents but same relations: text "." <-punct-- "planning vs. hyp "." <-punct-- "meet", which aligned to text "meet" args have different parents, different relations: text "Bob" <-nsubj-- "waiting" vs. hyp "Bob" <-dobj-- "meet", which aligned to text "meet" args have different parents, different relations: text "December" <-tmod-- "spent" vs. hyp "mid-December" <-prep_in-- "meet", which aligned to text "meet"
Hand-tuned score: -4.6500
Threshold: -11.4590

Inference ID: ATM7-1

Txt: President Bush attended Pope John Paul II's funeral in Rome on the Morning of April 8.

Hyp: President_Bush was in Rome on April 8 . (yes)

	President_Bush NNP	was VBD	Rome NNP	April NNP	8 CD	. .
President_Bush:NNP	0.00	13.56	8.65	10.50	20.50	20.00
attended:VBD	15.00	10.00	15.50	15.50	20.16	19.97
Pope_John_Paul_II:NNP	7.34	15.17	14.67	13.92	22.39	20.50
funeral:NN	10.00	15.00	10.50	10.50	20.50	19.15
Rome:NNP	8.65	11.83	0.00	15.00	25.00	20.50
the:DT	20.00	20.00	20.50	20.50	20.50	10.00
Morning:NN	10.00	15.00	10.50	7.73	18.34	20.00
April:NNP	10.50	15.50	15.00	0.00	17.84	20.50
8:CD	20.50	20.50	25.00	17.84	0.00	19.96
.:.	20.00	20.00	20.50	20.50	19.96	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -12.0000
Features matched: Adjunct.dropPosCxt: text adjunct "Morning" of "attended" dropped on aligned hyp word "was"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 04/08/1000; Location.mismatch: no clear info of matching: be(X, prep_in); RootEntailment.poorlyAlignedRoot: "was" aligned badly to "attended"
Hand-tuned score: -1.5000
Threshold: -11.4590

Inference ID: ATM7-2

Txt: President Bush attended Pope John Paul II's funeral in Rome on the Morning of April 8.

Hyp: President_Bush was in Texas on the afternoon of April 8 . . (probably not)

	President_Bush NNP	was VBD	Texas NNP	the DT	afternoon NN	April NNP	8 CD	. .	. .
President_Bush:NNP	0.00	13.56	9.06	20.00	10.50	10.50	20.50	20.00	20.00
attended:VBD	15.00	10.00	15.50	20.00	13.14	15.50	20.16	19.97	19.97
Pope_John_Paul_II:NNP	7.34	15.17	14.67	20.50	13.92	13.92	22.39	20.50	20.50
funeral:NN	10.00	15.00	10.50	20.00	6.86	10.50	20.50	19.15	19.15
Rome:NNP	8.65	11.83	6.33	20.50	15.00	15.00	25.00	20.50	20.50
the:DT	20.00	20.00	20.50	0.00	20.50	20.50	20.50	10.00	10.00
Morning:NN	10.00	15.00	10.50	20.00	3.03	7.73	18.34	20.00	20.00
April:NNP	10.50	15.50	15.00	20.50	12.23	0.00	17.84	20.50	20.50
8:CD	20.50	20.50	25.00	20.50	22.57	17.84	0.00	19.96	19.96
.:.	20.00	20.00	20.50	10.00	18.61	20.50	19.96	0.00	0.00
NO_WORD	10.00	10.00	10.00	1.00	10.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -19.3628
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 04/08/1000; RootEntailment.poorlyAlignedRoot: "was" aligned badly to "attended"
Hand-tuned score: 0.0000
Threshold: -11.4590

Inference ID: ATM8-1

Txt: A rainstorm caused cancellation of the important meeting on Thursday. Friday had beautiful weather.

Hyp: The meeting did take_place on Thursday . (no)

	The DT	meeting NN	did VBD	take_place NN	Thursday NNP	. .
A:DT	10.00	20.00	20.00	20.00	20.50	10.00
rainstorm:NN	20.00	9.74	14.83	10.00	10.50	20.00
caused:VBD	20.00	11.89	6.26	13.32	14.19	19.20
cancellation:NN	20.00	6.90	12.85	8.92	9.19	20.00
the:DT	0.00	20.00	20.00	20.00	20.50	10.00
important:JJ	20.00	11.96	11.96	11.96	12.46	18.05
meeting:NN	20.00	0.00	12.69	7.73	9.81	19.92
Thursday:NNP	20.50	9.81	14.19	9.84	0.00	20.50
.:.	10.00	19.92	17.99	20.00	20.50	0.00
Friday:NNP	20.50	9.83	14.19	9.84	3.93	20.50
had:VBD	20.00	14.34	7.32	10.92	15.50	20.00
beautiful:JJ	20.00	11.96	11.96	11.96	12.46	18.77
weather:NN	20.00	10.00	12.45	8.72	10.50	20.00
.:.	10.00	19.92	17.99	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: -17.1834
Features matched: Adjunct.dropPosCxt: text adjunct "important" of "meeting" dropped on aligned hyp word "meeting"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "caused"; Structure.parentsMismatch: args have different parents, different relations: text "meeting" <-prep_of-- "cancellation" vs. hyp "meeting" <-nsubj-- "did", which aligned to text "caused"
Hand-tuned score: -2.5000
Threshold: -11.4590

Inference ID: ATM8-2

Txt: A rainstorm caused cancellation of the important meeting on Thursday. Friday had beautiful weather.

Hyp: The meeting did take_place on Friday . (possibly)

	The DT	meeting NN	did VBD	take_place NN	Friday NNP	. .
A:DT	10.00	20.00	20.00	20.00	20.50	10.00
rainstorm:NN	20.00	9.74	14.83	10.00	10.50	20.00
caused:VBD	20.00	11.89	6.26	13.32	14.19	19.20
cancellation:NN	20.00	6.90	12.85	8.92	9.19	20.00
the:DT	0.00	20.00	20.00	20.00	20.50	10.00
important:JJ	20.00	11.96	11.96	11.96	12.46	18.05
meeting:NN	20.00	0.00	12.69	7.73	9.83	19.92
Thursday:NNP	20.50	9.81	14.19	9.84	3.93	20.50
.:.	10.00	19.92	17.99	20.00	20.50	0.00
Friday:NNP	20.50	9.83	14.19	9.84	0.00	20.50
had:VBD	20.00	14.34	7.32	10.92	15.50	20.00
beautiful:JJ	20.00	11.96	11.96	11.96	12.46	18.77
weather:NN	20.00	10.00	12.45	8.72	10.50	20.00
.:.	10.00	19.92	17.99	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: -19.1834
Features matched: Adjunct.dropPosCxt: text adjunct "Thursday" of "caused" dropped on aligned hyp word "did"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "caused"; Structure.parentsMismatch: args have different parents, different relations: text "meeting" <-prep_of-- "cancellation" vs. hyp "meeting" <-nsubj-- "did", which aligned to text "caused" args have different parents, different relations: text "Friday" <-nsubj-- "had" vs. hyp "Friday" <-prep_on-- "did", which aligned to text "caused"
Hand-tuned score: -2.5000
Threshold: -11.4590

Inference ID: ATM9-1

Txt: A CH-47 Chinook, carrying 10 people, crashed near Ghazni while returning to Bagram Air Base near the capital. The pilot perished in the crash.

Hyp: The Chinook did arrive at Bagram Air_Base . (no)

	The DT	Chinook NNP	did VBD	arrive VB	Bagram NNP	Air_Base NNP	. .
A:DT	10.00	20.50	20.00	20.00	20.50	20.00	10.00
CH-47:NNP	20.50	9.96	15.46	15.46	14.96	10.46	20.50
Chinook:NNP	20.50	0.00	13.35	15.50	14.96	7.35	20.50
,:,	10.00	20.50	19.80	20.00	20.50	20.00	5.73
carrying:VBG	20.00	15.50	5.52	7.55	15.46	12.15	18.98
10:CD	20.50	23.69	19.19	19.57	24.96	18.36	19.16
people:NNS	20.00	10.50	12.62	13.85	10.46	8.81	17.46
,:,	10.00	20.50	19.80	20.00	20.50	20.00	5.73
crashed:VBD	20.00	15.50	7.45	7.82	15.46	13.69	20.00
Ghazni:NNP	20.50	14.96	15.46	15.46	9.96	10.46	20.50
while:IN	20.00	20.50	20.00	20.00	20.50	20.00	20.00
returning:VBG	20.00	13.35	7.45	6.32	15.46	12.22	19.78
Bagram_Air_Base:NNP	20.50	11.85	13.62	15.46	0.00	0.50	20.50
the:DT	0.00	20.50	20.00	20.00	20.50	20.00	10.00
capital:NN	20.00	8.35	9.55	15.00	10.46	7.93	20.00
.:.	10.00	20.50	17.99	20.00	20.50	20.00	0.00
The:DT	0.00	20.50	20.00	20.00	20.50	20.00	10.00
pilot:NN	20.00	8.35	11.36	12.37	10.46	6.98	20.00
perished:VBD	20.00	15.50	9.39	7.16	15.46	15.00	20.00
the:DT	0.00	20.50	20.00	20.00	20.50	20.00	10.00
crash:NN	20.00	10.50	12.45	13.04	10.46	8.69	20.00
.:.	10.00	20.50	17.99	20.00	20.50	20.00	0.00
NO_WORD	1.00	10.00	1.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -14.3201
Features matched: Adjunct.dropPosCxt: text adjunct "capital" of "Bagram_Air_Base" dropped on aligned hyp word "Air_Base"; NullPunisher.aux: did; NullPunisher.article: The; Quant.contract: [a,the]; RootEntailment.poorlyAlignedRoot: "arrive" aligned badly to "crashed"; Structure.parentsMismatch: args have different parents, different relations: text "Bagram_Air_Base" <-prep_to-- "returning" vs. hyp "Air_Base" <-prep_at-- "arrive", which aligned to text "crashed"
Hand-tuned score: -2.6500
Threshold: -11.4590

Inference ID: ATM9-2

Txt: A CH-47 Chinook, carrying 10 people, crashed near Ghazni while returning to Bagram Air Base near the capital. The pilot perished in the crash.

Hyp: The Pilot is alive . (no)

	The DT	Pilot NN	is VBZ	alive JJ	. .
A:DT	10.00	20.50	20.00	20.00	10.00
CH-47:NNP	20.50	14.96	15.46	12.46	20.50
Chinook:NNP	20.50	12.85	12.84	12.46	20.50
,:,	10.00	20.50	20.00	18.72	5.73
carrying:VBG	20.00	15.50	7.74	11.26	18.98
10:CD	20.50	23.69	20.50	20.30	19.16
people:NNS	20.00	10.50	11.70	8.31	17.46
,:,	10.00	20.50	20.00	18.72	5.73
crashed:VBD	20.00	11.83	6.70	9.44	20.00
Ghazni:NNP	20.50	9.96	15.46	12.46	20.50
while:IN	20.00	20.50	20.00	20.00	20.00
returning:VBG	20.00	12.62	5.51	10.01	19.78
Bagram_Air_Base:NNP	20.50	6.98	14.17	12.46	20.50
the:DT	0.00	20.50	20.00	20.00	10.00
capital:NN	20.00	8.35	14.34	11.96	20.00
.:.	10.00	20.50	20.00	18.91	0.00
The:DT	0.00	20.50	20.00	20.00	10.00
pilot:NN	20.00	0.50	14.34	10.78	20.00
perished:VBD	20.00	15.50	10.00	7.56	20.00
the:DT	0.00	20.50	20.00	20.00	10.00
crash:NN	20.00	6.83	11.70	8.86	20.00
.:.	10.00	20.50	20.00	18.91	0.00
NO_WORD	1.00	10.00	1.00	9.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -9.0598
Features matched: Adjunct.dropPosCxt: text adjunct "crash" of "perished" dropped on aligned hyp word "alive"; NullPunisher.aux: is; RootEntailment.poorlyAlignedRoot: "alive" aligned badly to "perished"
Hand-tuned score: -0.5500
Threshold: -11.4590

Inference ID: ATM9-3

Txt: A CH-47 Chinook, carrying 10 people, crashed near Ghazni while returning to Bagram Air Base near the capital. The pilot perished in the crash.

Hyp: WH[QUANTITY] many people survived . (at most 9)

	WH[QUANTITY] JJ	many JJ	people NNS	survived VBD	. .
A:DT	20.00	20.00	20.00	20.00	10.00
CH-47:NNP	0.00	12.46	10.46	15.46	20.50
Chinook:NNP	0.00	12.46	10.50	15.50	20.50
,:,	20.00	20.00	18.63	18.97	5.73
carrying:VBG	0.00	11.96	12.62	10.00	18.98
10:CD	0.00	20.46	20.50	20.41	19.16
people:NNS	0.00	11.96	0.00	15.00	17.46
,:,	20.00	20.00	18.63	18.97	5.73
crashed:VBD	0.00	11.96	10.02	8.32	20.00
Ghazni:NNP	0.00	12.46	10.46	15.46	20.50
while:IN	20.00	20.00	20.00	20.00	20.00
returning:VBG	0.00	11.96	15.00	9.94	19.78
Bagram_Air_Base:NNP	0.00	12.46	9.31	15.46	20.50
the:DT	20.00	20.00	20.00	20.00	10.00
capital:NN	0.00	11.96	9.07	15.00	20.00
.:.	20.00	20.00	17.46	20.00	0.00
The:DT	20.00	20.00	20.00	20.00	10.00
pilot:NN	0.00	11.96	8.79	15.00	20.00
perished:VBD	0.00	11.96	11.79	6.18	20.00
the:DT	20.00	20.00	20.00	20.00	10.00
crash:NN	0.00	11.96	5.02	14.59	20.00
.:.	20.00	20.00	17.46	20.00	0.00
NO_WORD	9.00	9.00	10.00	10.00	10.00

Response: Ghazni (INCORRECT)
Justification:
Alignment score: -19.1761
Features matched: Adjunct.addPosCxt: hyp added many[many-JJ]; Adjunct.dropPosCxt: text adjunct "crash" of "perished" dropped on aligned hyp word "survived"; NullPunisher.other: many; RootEntailment.poorlyAlignedRoot: "survived" aligned badly to "perished"; Structure.parentsMismatch: args have different parents, different relations: text "people" <-dobj-- "carrying" vs. hyp "people" <-nsubj-- "survived", which aligned to text "perished"
Hand-tuned score: -5.5000
Threshold: -11.4590

Inference ID: ATM10-1

Txt: A.Q. Khan of Pakistan sold plans for a nuclear bomb to Iran. He also sold the XYZ-11, the key part necessary for the trigger.

Hyp: Iran does have plans for a nuclear bomb . (yes)

	Iran NNP	does VBZ	have VB	plans NNS	a DT	nuclear JJ	bomb NN	. .
A.Q._Khan:NNP	14.67	14.55	14.52	9.52	20.50	12.46	9.52	20.50
Pakistan:NNP	3.17	14.84	14.84	9.84	20.50	12.46	9.84	20.50
sold:VBD	15.50	10.00	5.68	12.55	20.00	11.45	12.69	19.42
plans:NNS	9.84	12.76	12.32	0.00	20.00	11.17	8.03	20.00
a:DT	20.50	20.00	20.00	20.00	0.00	20.00	20.00	10.00
nuclear:JJ	12.46	10.23	11.96	11.17	20.00	0.00	8.86	19.75
bomb:NN	9.84	13.13	13.95	8.03	20.00	8.86	0.00	20.00
Iran:NNP	0.00	14.84	14.84	9.84	20.50	12.46	9.84	20.50
.:.	20.50	20.00	20.00	20.00	10.00	19.75	20.00	0.00
He:PRP	12.50	15.00	15.00	12.00	20.00	15.00	12.00	20.00
also:RB	15.46	19.96	19.96	14.96	20.00	11.96	14.96	20.00
sold:VBD	15.50	10.00	5.68	12.55	20.00	11.45	12.69	19.42
the:DT	20.50	18.65	20.00	20.00	10.00	20.00	20.00	10.00
XYZ-11:NN	10.46	14.96	14.96	9.96	20.00	11.96	9.96	20.00
,:,	20.50	19.26	20.00	20.00	10.00	19.81	20.00	5.73
the:DT	20.50	18.65	20.00	20.00	10.00	20.00	20.00	10.00
key:JJ	9.61	10.11	9.62	9.82	20.00	9.68	8.40	19.53
part:NN	8.02	13.95	12.61	6.99	20.00	10.78	8.95	17.01
necessary:JJ	11.84	7.48	11.34	10.20	20.00	6.87	11.34	18.22
the:DT	20.50	18.65	20.00	20.00	10.00	20.00	20.00	10.00
trigger:NN	9.84	11.31	12.32	7.32	20.00	11.00	6.40	20.00
.:.	20.50	20.00	20.00	20.00	10.00	19.75	20.00	0.00
NO_WORD	10.00	1.00	10.00	10.00	1.00	9.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -10.6779
Features matched: NullPunisher.aux: does; Quant.contract: [a,a]; RootEntailment.poorlyAlignedRoot: "have" aligned badly to "sold"; Structure.relMismatch: text "Iran" is prep_to of "sold" while hyp "Iran" is nsubj of "have" which aligned to text "sold"
Hand-tuned score: -1.0500
Threshold: -11.4590

Inference ID: ATM10-2

Txt: A.Q. Khan of Pakistan sold plans for a nuclear bomb to Iran. He also sold the XYZ-11, the key part necessary for the trigger.

Hyp: Pakistan does have plans for a nuclear bomb . (yes)

	Pakistan NNP	does VBZ	have VB	plans NNS	a DT	nuclear JJ	bomb NN	. .
A.Q._Khan:NNP	14.67	14.55	14.52	9.52	20.50	12.46	9.52	20.50
Pakistan:NNP	0.00	14.84	14.84	9.84	20.50	12.46	9.84	20.50
sold:VBD	15.50	10.00	5.68	12.55	20.00	11.45	12.69	19.42
plans:NNS	9.84	12.76	12.32	0.00	20.00	11.17	8.03	20.00
a:DT	20.50	20.00	20.00	20.00	0.00	20.00	20.00	10.00
nuclear:JJ	12.46	10.23	11.96	11.17	20.00	0.00	8.86	19.75
bomb:NN	9.84	13.13	13.95	8.03	20.00	8.86	0.00	20.00
Iran:NNP	3.17	14.84	14.84	9.84	20.50	12.46	9.84	20.50
.:.	20.50	20.00	20.00	20.00	10.00	19.75	20.00	0.00
He:PRP	12.50	15.00	15.00	12.00	20.00	15.00	12.00	20.00
also:RB	15.46	19.96	19.96	14.96	20.00	11.96	14.96	20.00
sold:VBD	15.50	10.00	5.68	12.55	20.00	11.45	12.69	19.42
the:DT	20.50	18.65	20.00	20.00	10.00	20.00	20.00	10.00
XYZ-11:NN	10.46	14.96	14.96	9.96	20.00	11.96	9.96	20.00
,:,	20.50	19.26	20.00	20.00	10.00	19.81	20.00	5.73
the:DT	20.50	18.65	20.00	20.00	10.00	20.00	20.00	10.00
key:JJ	9.61	10.11	9.62	9.82	20.00	9.68	8.40	19.53
part:NN	8.02	13.95	12.61	6.99	20.00	10.78	8.95	17.01
necessary:JJ	11.84	7.48	11.34	10.20	20.00	6.87	11.34	18.22
the:DT	20.50	18.65	20.00	20.00	10.00	20.00	20.00	10.00
trigger:NN	9.84	11.31	12.32	7.32	20.00	11.00	6.40	20.00
.:.	20.50	20.00	20.00	20.00	10.00	19.75	20.00	0.00
NO_WORD	10.00	1.00	10.00	10.00	1.00	9.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -10.6779
Features matched: Adjunct.dropPosCxt: text adjunct "Iran" of "sold" dropped on aligned hyp word "have"; NullPunisher.aux: does; Quant.contract: [a,a]; RootEntailment.poorlyAlignedRoot: "have" aligned badly to "sold"; Structure.parentsMismatch: args have different parents, different relations: text "Pakistan" <-prep_of-- "A.Q._Khan" vs. hyp "Pakistan" <-nsubj-- "have", which aligned to text "sold"
Hand-tuned score: -2.5500
Threshold: -11.4590

Inference ID: ATM10-3

Txt: A.Q. Khan of Pakistan sold plans for a nuclear bomb to Iran. He also sold the XYZ-11, the key part necessary for the trigger.

Hyp: Iran does have the XYZ-11 . (yes)

	Iran NNP	does VBZ	have VB	the DT	XYZ-11 NN	. .
A.Q._Khan:NNP	14.67	14.55	14.52	20.50	10.46	20.50
Pakistan:NNP	3.17	14.84	14.84	20.50	10.46	20.50
sold:VBD	15.50	10.00	5.68	20.00	14.96	19.42
plans:NNS	9.84	12.76	12.32	20.00	9.96	20.00
a:DT	20.50	20.00	20.00	10.00	20.00	10.00
nuclear:JJ	12.46	10.23	11.96	20.00	11.96	19.75
bomb:NN	9.84	13.13	13.95	20.00	9.96	20.00
Iran:NNP	0.00	14.84	14.84	20.50	10.46	20.50
.:.	20.50	20.00	20.00	10.00	20.00	0.00
He:PRP	12.50	15.00	15.00	20.00	12.00	20.00
also:RB	15.46	19.96	19.96	20.00	14.96	20.00
sold:VBD	15.50	10.00	5.68	20.00	14.96	19.42
the:DT	20.50	18.65	20.00	0.00	20.00	10.00
XYZ-11:NN	10.46	14.96	14.96	20.00	0.00	20.00
,:,	20.50	19.26	20.00	10.00	20.00	5.73
the:DT	20.50	18.65	20.00	0.00	20.00	10.00
key:JJ	9.61	10.11	9.62	20.00	11.96	19.53
part:NN	8.02	13.95	12.61	20.00	9.96	17.01
necessary:JJ	11.84	7.48	11.34	20.00	11.96	18.22
the:DT	20.50	18.65	20.00	0.00	20.00	10.00
trigger:NN	9.84	11.31	12.32	20.00	9.96	20.00
.:.	20.50	20.00	20.00	10.00	20.00	0.00
NO_WORD	10.00	1.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -8.6779
Features matched: Adjunct.dropPosCxt: text adjunct "part" of "XYZ-11" dropped on aligned hyp word "XYZ-11"; NullPunisher.aux: does; RootEntailment.poorlyAlignedRoot: "have" aligned badly to "sold"; Structure.relMismatch: text "Iran" is prep_to of "sold" while hyp "Iran" is nsubj of "have" which aligned to text "sold"
Hand-tuned score: -1.5500
Threshold: -11.4590

Inference ID: ATM10-4

Txt: A.Q. Khan of Pakistan sold plans for a nuclear bomb to Iran. He also sold the XYZ-11, the key part necessary for the trigger.

Hyp: Pakistan does have the XYZ-11 . (yes)

	Pakistan NNP	does VBZ	have VB	the DT	XYZ-11 NN	. .
A.Q._Khan:NNP	14.67	14.55	14.52	20.50	10.46	20.50
Pakistan:NNP	0.00	14.84	14.84	20.50	10.46	20.50
sold:VBD	15.50	10.00	5.68	20.00	14.96	19.42
plans:NNS	9.84	12.76	12.32	20.00	9.96	20.00
a:DT	20.50	20.00	20.00	10.00	20.00	10.00
nuclear:JJ	12.46	10.23	11.96	20.00	11.96	19.75
bomb:NN	9.84	13.13	13.95	20.00	9.96	20.00
Iran:NNP	3.17	14.84	14.84	20.50	10.46	20.50
.:.	20.50	20.00	20.00	10.00	20.00	0.00
He:PRP	12.50	15.00	15.00	20.00	12.00	20.00
also:RB	15.46	19.96	19.96	20.00	14.96	20.00
sold:VBD	15.50	10.00	5.68	20.00	14.96	19.42
the:DT	20.50	18.65	20.00	0.00	20.00	10.00
XYZ-11:NN	10.46	14.96	14.96	20.00	0.00	20.00
,:,	20.50	19.26	20.00	10.00	20.00	5.73
the:DT	20.50	18.65	20.00	0.00	20.00	10.00
key:JJ	9.61	10.11	9.62	20.00	11.96	19.53
part:NN	8.02	13.95	12.61	20.00	9.96	17.01
necessary:JJ	11.84	7.48	11.34	20.00	11.96	18.22
the:DT	20.50	18.65	20.00	0.00	20.00	10.00
trigger:NN	9.84	11.31	12.32	20.00	9.96	20.00
.:.	20.50	20.00	20.00	10.00	20.00	0.00
NO_WORD	10.00	1.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -8.6779
Features matched: Adjunct.dropPosCxt: text adjunct "part" of "XYZ-11" dropped on aligned hyp word "XYZ-11"; NullPunisher.aux: does; RootEntailment.poorlyAlignedRoot: "have" aligned badly to "sold"; Structure.parentsMismatch: args have different parents, different relations: text "Pakistan" <-prep_of-- "A.Q._Khan" vs. hyp "Pakistan" <-nsubj-- "have", which aligned to text "sold"
Hand-tuned score: -3.5500
Threshold: -11.4590

Inference ID: ATM11-1

Txt: John was at the station in Washington D.C at 10:00 AM on March 15, 2005. His train to New York was scheduled to leave the station at 10:30.

Hyp: John was in Washington at 10 . (yes)

	John NNP	was VBD	Washington NNP	10 CD	. .
John:NNP	0.00	14.84	8.69	23.69	20.50
was:VBD	14.84	0.00	6.65	20.50	20.00
at:IN	20.50	20.00	20.50	20.50	20.00
the:DT	20.50	20.00	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	19.66	19.88
Washington_D.C:NNP	11.84	11.08	0.00	24.96	20.50
10:00:CD	24.96	20.46	24.96	5.00	20.50
AM:NNP	8.35	14.34	9.84	19.19	20.00
March:NNP	10.03	11.88	11.38	22.84	20.50
15:CD	23.69	20.50	25.00	5.41	19.54
,:,	25.00	20.50	25.00	23.48	6.23
2005:CD	24.96	20.46	24.96	10.00	20.50
.:.	20.50	20.00	20.50	19.16	0.00
His:PRP$	12.50	15.00	12.50	20.50	20.00
train:NN	8.53	14.34	8.63	19.77	20.00
New_York:NNP	14.34	10.00	4.50	24.96	20.50
was:VBD	14.84	0.00	6.65	20.50	20.00
scheduled:VBN	12.97	10.00	15.50	19.19	20.00
to:TO	20.50	20.00	20.50	20.50	10.00
leave:VB	13.35	10.00	15.50	18.34	19.32
the:DT	20.50	20.00	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	19.66	19.88
10:30:CD	24.96	20.46	24.96	5.00	20.50
.:.	20.50	20.00	20.50	19.16	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -13.0000
Features matched: Location.mismatch: no clear info of matching: be(X, prep_in); Numeric.mismatch: NUMBER mismatch: '10.0' vs ''; Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "AM vs. hyp "John" <-nsubj-- "was", which aligned to text "was" args have different parents but same relations: text "Washington_D.C" <-prep_in-- "at vs. hyp "Washington" <-prep_in-- "was", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "AM vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -10.0000
Threshold: -11.4590

Inference ID: ATM11-2

Txt: John was at the station in Washington D.C at 10:00 AM on March 15, 2005. His train to New York was scheduled to leave the station at 10:30.

Hyp: John was in Washington at 10:15 . (yes)

	John NNP	was VBD	Washington NNP	10:15 CD	. .
John:NNP	0.00	14.84	8.69	24.96	20.50
was:VBD	14.84	0.00	6.65	20.46	20.00
at:IN	20.50	20.00	20.50	20.50	20.00
the:DT	20.50	20.00	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	17.11	19.88
Washington_D.C:NNP	11.84	11.08	0.00	24.96	20.50
10:00:CD	24.96	20.46	24.96	4.45	20.50
AM:NNP	8.35	14.34	9.84	20.46	20.00
March:NNP	10.03	11.88	11.38	24.96	20.50
15:CD	23.69	20.50	25.00	10.00	19.54
,:,	25.00	20.50	25.00	25.00	6.23
2005:CD	24.96	20.46	24.96	10.00	20.50
.:.	20.50	20.00	20.50	20.50	0.00
His:PRP$	12.50	15.00	12.50	20.50	20.00
train:NN	8.53	14.34	8.63	17.49	20.00
New_York:NNP	14.34	10.00	4.50	24.96	20.50
was:VBD	14.84	0.00	6.65	20.46	20.00
scheduled:VBN	12.97	10.00	15.50	16.75	20.00
to:TO	20.50	20.00	20.50	20.50	10.00
leave:VB	13.35	10.00	15.50	18.49	19.32
the:DT	20.50	20.00	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	17.11	19.88
10:30:CD	24.96	20.46	24.96	2.47	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: -10.4712
Features matched: Location.mismatch: no clear info of matching: be(X, prep_in); Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "AM vs. hyp "John" <-nsubj-- "was", which aligned to text "was" args have different parents but same relations: text "Washington_D.C" <-prep_in-- "at vs. hyp "Washington" <-prep_in-- "was", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "scheduled vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -4.0000
Threshold: -11.4590

Inference ID: ATM11-3

Txt: John was at the station in Washington D.C at 10:00 AM on March 15, 2005. His train to New York was scheduled to leave the station at 10:30.

Hyp: John was in Washington at 10:30 . (yes)

	John NNP	was VBD	Washington NNP	10:30 CD	. .
John:NNP	0.00	14.84	8.69	24.96	20.50
was:VBD	14.84	0.00	6.65	20.46	20.00
at:IN	20.50	20.00	20.50	20.50	20.00
the:DT	20.50	20.00	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	18.51	19.88
Washington_D.C:NNP	11.84	11.08	0.00	24.96	20.50
10:00:CD	24.96	20.46	24.96	4.96	20.50
AM:NNP	8.35	14.34	9.84	20.46	20.00
March:NNP	10.03	11.88	11.38	24.96	20.50
15:CD	23.69	20.50	25.00	10.00	19.54
,:,	25.00	20.50	25.00	25.00	6.23
2005:CD	24.96	20.46	24.96	10.00	20.50
.:.	20.50	20.00	20.50	20.50	0.00
His:PRP$	12.50	15.00	12.50	20.50	20.00
train:NN	8.53	14.34	8.63	17.89	20.00
New_York:NNP	14.34	10.00	4.50	24.96	20.50
was:VBD	14.84	0.00	6.65	20.46	20.00
scheduled:VBN	12.97	10.00	15.50	15.18	20.00
to:TO	20.50	20.00	20.50	20.50	10.00
leave:VB	13.35	10.00	15.50	18.29	19.32
the:DT	20.50	20.00	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	18.51	19.88
10:30:CD	24.96	20.46	24.96	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: -8.0000
Features matched: Location.mismatch: no clear info of matching: be(X, prep_in); Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "AM vs. hyp "John" <-nsubj-- "was", which aligned to text "was" args have different parents but same relations: text "Washington_D.C" <-prep_in-- "at vs. hyp "Washington" <-prep_in-- "was", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "AM vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -4.0000
Threshold: -11.4590

Inference ID: ATM11-4

Txt: John was at the station in Washington D.C at 10:00 AM on March 15, 2005. His train to New York was scheduled to leave the station at 10:30.

Hyp: John was in Washington on March 15 . (MULTIPLE ANSWERS)

	John NNP	was VBD	Washington NNP	March NNP	15 CD	. .
John:NNP	0.00	14.84	8.69	10.03	23.69	20.50
was:VBD	14.84	0.00	6.65	11.88	20.50	20.00
at:IN	20.50	20.00	20.50	20.50	20.50	20.00
the:DT	20.50	20.00	20.50	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	8.02	19.85	19.88
Washington_D.C:NNP	11.84	11.08	0.00	13.19	24.96	20.50
10:00:CD	24.96	20.46	24.96	24.96	10.00	20.50
AM:NNP	8.35	14.34	9.84	1.65	19.19	20.00
March:NNP	10.03	11.88	11.38	0.00	17.84	20.50
15:CD	23.69	20.50	25.00	17.84	0.00	19.54
,:,	25.00	20.50	25.00	20.00	18.42	6.23
2005:CD	24.96	20.46	24.96	19.96	4.90	20.50
.:.	20.50	20.00	20.50	20.50	19.54	0.00
His:PRP$	12.50	15.00	12.50	12.50	20.50	20.00
train:NN	8.53	14.34	8.63	2.41	19.82	20.00
New_York:NNP	14.34	10.00	4.50	11.38	24.96	20.50
was:VBD	14.84	0.00	6.65	11.88	20.50	20.00
scheduled:VBN	12.97	10.00	15.50	13.10	19.19	20.00
to:TO	20.50	20.00	20.50	20.50	20.50	10.00
leave:VB	13.35	10.00	15.50	12.73	18.34	19.32
the:DT	20.50	20.00	20.50	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	8.02	19.85	19.88
10:30:CD	24.96	20.46	24.96	24.96	10.00	20.50
.:.	20.50	20.00	20.50	20.50	19.54	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -8.0000
Features matched: Adjunct.dropPosCxt: text adjunct "2005" of "March" dropped on aligned hyp word "March"; Date.matchDatesByGraph: hyp/txt matching, by graph: March and children; Location.mismatch: no clear info of matching: be(X, prep_in); Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "AM vs. hyp "John" <-nsubj-- "was", which aligned to text "was" args have different parents but same relations: text "Washington_D.C" <-prep_in-- "at vs. hyp "Washington" <-prep_in-- "was", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "AM vs. hyp "." <-punct-- "was", which aligned to text "was"
Hand-tuned score: -2.5000
Threshold: -11.4590

Inference ID: ATM11-5

Txt: John was at the station in Washington D.C at 10:00 AM on March 15, 2005. His train to New York was scheduled to leave the station at 10:30.

Hyp: John was in New_York on March 15th . (yes)

	John NNP	was VBD	New_York NNP	March NNP	15th NNP	. .
John:NNP	0.00	14.84	9.84	10.03	14.96	20.50
was:VBD	14.84	0.00	9.50	11.88	15.46	20.00
at:IN	20.50	20.00	20.00	20.50	20.50	20.00
the:DT	20.50	20.00	20.00	20.50	20.50	10.00
station:NN	8.53	12.52	6.03	8.02	10.46	19.88
Washington_D.C:NNP	11.84	11.08	9.41	13.19	14.96	20.50
10:00:CD	24.96	20.46	20.46	24.96	24.38	20.50
AM:NNP	8.35	14.34	9.34	1.65	10.46	20.00
March:NNP	10.03	11.88	6.88	0.00	9.96	20.50
15:CD	23.69	20.50	20.46	17.84	19.96	19.54
,:,	25.00	20.50	20.50	20.00	19.76	6.23
2005:CD	24.96	20.46	20.46	19.96	19.20	20.50
.:.	20.50	20.00	20.00	20.50	20.50	0.00
His:PRP$	12.50	15.00	12.00	12.50	12.50	20.00
train:NN	8.53	14.34	9.06	2.41	8.85	20.00
New_York:NNP	14.34	10.00	0.50	11.38	14.96	20.50
was:VBD	14.84	0.00	9.50	11.88	15.46	20.00
scheduled:VBN	12.97	10.00	14.96	13.10	12.94	20.00
to:TO	20.50	20.00	20.00	20.50	20.50	10.00
leave:VB	13.35	10.00	14.96	12.73	14.63	19.32
the:DT	20.50	20.00	20.00	20.50	20.50	10.00
station:NN	8.53	12.52	6.03	8.02	10.46	19.88
10:30:CD	24.96	20.46	20.46	24.96	23.36	20.50
.:.	20.50	20.00	20.00	20.50	20.50	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -18.5000
Features matched: Adjunct.addPosCxt: hyp added 15th[15th-NNP]; Adjunct.dropPosCxt: text adjunct "2005" of "March" dropped on aligned hyp word "March"; Date.hypDateIns: hypothesis date insertion: 15th; Location.mismatch: no clear info of matching: be(X, prep_in); NullPunisher.other: 15th; Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "AM vs. hyp "John" <-nsubj-- "was", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "scheduled vs. hyp "." <-punct-- "was", which aligned to text "was" args have different parents, different relations: text "New_York" <-prep_to-- "train" vs. hyp "New_York" <-prep_in-- "was", which aligned to text "was"
Hand-tuned score: -7.5000
Threshold: -11.4590

Inference ID: ATM11-6

Txt: John was at the station in Washington D.C at 10:00 AM on March 15, 2005. His train to New York was scheduled to leave the station at 10:30.

Hyp: John was in California on March 15th . (no)

	John NNP	was VBD	California NNP	March NNP	15th NNP	. .
John:NNP	0.00	14.84	14.34	10.03	14.96	20.50
was:VBD	14.84	0.00	10.00	11.88	15.46	20.00
at:IN	20.50	20.00	20.50	20.50	20.50	20.00
the:DT	20.50	20.00	20.50	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	8.02	10.46	19.88
Washington_D.C:NNP	11.84	11.08	7.25	13.19	14.96	20.50
10:00:CD	24.96	20.46	24.96	24.96	24.38	20.50
AM:NNP	8.35	14.34	9.84	1.65	10.46	20.00
March:NNP	10.03	11.88	11.38	0.00	9.96	20.50
15:CD	23.69	20.50	25.00	17.84	19.96	19.54
,:,	25.00	20.50	25.00	20.00	19.76	6.23
2005:CD	24.96	20.46	24.96	19.96	19.20	20.50
.:.	20.50	20.00	20.50	20.50	20.50	0.00
His:PRP$	12.50	15.00	12.50	12.50	12.50	20.00
train:NN	8.53	14.34	9.84	2.41	8.85	20.00
New_York:NNP	14.34	10.00	4.50	11.38	14.96	20.50
was:VBD	14.84	0.00	10.00	11.88	15.46	20.00
scheduled:VBN	12.97	10.00	15.50	13.10	12.94	20.00
to:TO	20.50	20.00	20.50	20.50	20.50	10.00
leave:VB	13.35	10.00	15.50	12.73	14.63	19.32
the:DT	20.50	20.00	20.50	20.50	20.50	10.00
station:NN	8.53	12.52	8.02	8.02	10.46	19.88
10:30:CD	24.96	20.46	24.96	24.96	23.36	20.50
.:.	20.50	20.00	20.50	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: -22.4959
Features matched: Adjunct.addPosCxt: hyp added 15th[15th-NNP]; Adjunct.dropPosCxt: text adjunct "2005" of "March" dropped on aligned hyp word "March"; Date.hypDateIns: hypothesis date insertion: 15th; Location.mismatch: no clear info of matching: be(X, prep_in); NullPunisher.other: 15th; Structure.argsMismatch: args have different parents but same relations: text "John" <-nsubj-- "AM vs. hyp "John" <-nsubj-- "was", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "scheduled vs. hyp "." <-punct-- "was", which aligned to text "was" args have different parents, different relations: text "New_York" <-prep_to-- "train" vs. hyp "California" <-prep_in-- "was", which aligned to text "was"
Hand-tuned score: -7.5000
Threshold: -11.4590

Word similarity table built on Thu Jul 06 11:12:42 PDT 2006 using command:

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