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: MIT-1

Txt: City workers pretended to be victims of the attack.

Hyp: The city were workers harmed by the attack . (MULTIPLE ANSWERS)

The
DT		 city
NN		 were
VBD		 workers
NNS		 harmed
VBN		 the
DT		 attack
NN		 .
.
City:NNP 20.00   0.00 14.34   9.34 15.00 20.00 10.00 20.00
workers:NNS 20.00   9.34 14.34   0.00 14.39 20.00 10.00 20.00
pretended:VBD 20.00 14.74 10.00 15.00   8.35 20.00   9.59 19.35
to:TO 10.00 20.00 20.00 20.00 20.00 10.00 20.00 10.00
be:VB 20.00 14.34   0.31 14.34 10.00 20.00 13.07 20.00
victims:NNS 20.00   9.28 14.34   8.05 10.41 20.00   5.67 20.00
the:DT   0.00 20.00 20.00 20.00 20.00   0.00 20.00 10.00
attack:NN 20.00   9.68 13.07 10.00 11.89 20.00   0.00 20.00
.:. 10.00 19.66 20.00 20.00 19.24 10.00 20.00   0.00
NO_WORD   1.00 10.00   1.00 10.00 10.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -20.0000
Features matched: Adjunct.addPosCxt: hyp added harmed[harmed-VBN]; Factive.factivePassage: factive entailed : pretended-VBD; NullPunisher.article: The; NullPunisher.aux: were; NullPunisher.other: harmed; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "pretended vs. hyp "." <-punct-- "workers", which aligned to text "workers" text "City" is nn of "workers" while hyp "city" is nsubj of "workers" which aligned to text "workers"
Hand-tuned score: -3.1500
Threshold: -11.4590

Inference ID: MIT-2

Txt: The Defense Department has awarded BioPort Corporation a contract to manufacture, test, bottle and store anthrax vaccine, the company has announced.

Hyp: The Defense_Department does want BioPort Corporation to manufacture anthrax vaccine . (MULTIPLE ANSWERS)

The
DT		 Defense_Department
NNP		 does
VBZ		 want
VB		 BioPort_Corporation
NNP		 to
TO		 manufacture
VB		 anthrax
NN		 vaccine
NN		 .
.
The:DT   0.00 20.00 20.00 20.00 20.50 10.00 20.00 20.00 20.00 10.00
Defense_Department:NNP 20.50   0.50   9.38 14.45   8.79 20.50 14.05   9.52 10.17 20.50
has:VBZ 20.00 13.76   9.34   9.34 15.17 20.00 10.00 14.34 14.34 20.00
awarded:VBN 20.00 13.92 10.00 10.00 15.46 20.00   7.58 14.89 14.45 20.00
BioPort_Corporation:VBG 20.50 14.29   9.29   8.94   0.00 20.50 10.46 15.17 15.17 20.50
a:DT 10.00 20.00 20.00 20.00 20.50 10.00 20.00 20.00 20.00 10.00
contract:NN 20.00   8.22 14.30 14.65 10.46 20.00 12.47 10.00 10.00 19.15
to:TO 10.00 20.00 17.95 20.00 20.50   0.00 20.00 20.00 20.00 10.00
manufacture:VB 20.00 13.55   9.15   9.23 15.46 20.00   0.00 13.48 10.53 19.10
,:, 10.00 20.00 19.26 19.41 20.50 10.00 19.16 20.00 20.00   5.73
test:VB 20.00 13.86   8.36   7.90 15.17 20.00   5.80 13.95 10.03 19.47
,:, 10.00 20.00 19.26 19.41 20.50 10.00 19.16 20.00 20.00   5.73
bottle:VB 20.00 14.02   8.03   7.65 15.17 20.00   7.10 12.12 13.66 20.00
store:VB 20.00 13.53   8.95   9.34 15.17 20.00   8.07 11.40 14.34 19.12
anthrax:NN 20.00   9.02 13.11 11.51 10.17 20.00 13.48   0.00   7.01 20.00
vaccine:NN 20.00   9.67 14.34 14.34 10.17 20.00 10.53   7.01   0.00 19.57
,:, 10.00 20.00 19.26 19.41 20.50 10.00 19.16 20.00 20.00   5.73
the:DT   0.00 20.00 18.65 20.00 20.50 10.00 20.00 20.00 20.00 10.00
company:NN 20.00   6.69 11.69 12.44   9.29 20.00 15.00   7.44   9.34 18.58
has:VBZ 20.00 13.76   9.34   9.34 15.17 20.00 10.00 14.34 14.34 20.00
announced:VBN 20.00 15.00   9.13 10.00 15.46 20.00   9.20 15.00 14.53 20.00
.:. 10.00 20.00 20.00 17.90 20.50 10.00 19.10 20.00 19.57   0.00
NO_WORD   1.00 10.00   1.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -17.1490
Features matched: NullPunisher.aux: does; RootEntailment.poorlyAlignedRoot: "want" aligned badly to "bottle"; Structure.argsMismatch: args have different parents but same relations: text "Defense_Department" <-nsubj-- "awarded vs. hyp "Defense_Department" <-nsubj-- "want", which aligned to text "bottle" args have different parents but same relations: text "." <-punct-- "announced vs. hyp "." <-punct-- "want", which aligned to text "bottle" args have different parents, different relations: text "manufacture" <-infmod-- "contract" vs. hyp "manufacture" <-xcomp-- "want", which aligned to text "bottle"
Hand-tuned score: -4.0500
Threshold: -11.4590

Inference ID: MIT-3

Txt: Chemical weapon projectiles contain a blasting tube which can be seen in an X-ray.

Hyp: The blasting tube is visible outside the projectile . (MULTIPLE ANSWERS)

The
DT		 blasting
VBG		 tube
NN		 is
VBZ		 visible
JJ		 the
DT		 projectile
NN		 .
.
Chemical_weapon:NNS 20.00 14.18   6.40 13.67 11.96 20.00   5.23 20.00
projectiles:NNS 20.00 12.76   5.40 14.34   9.12 20.00   0.50 20.00
contain:VBP 20.00 10.00 12.82   8.33 11.02 20.00 13.76 18.50
a:DT 10.00 20.00 20.00 20.00 20.00 10.00 20.00 10.00
blasting:VBG 20.00   0.00 11.82 10.00   9.21 20.00 13.41 19.69
tube:NN 20.00 11.82   0.00 14.34 10.02 20.00   5.97 20.00
which:WDT 10.00 20.00 20.00 20.00 20.00 10.00 20.00 10.00
can:MD 10.00 17.85 16.69 19.34 19.96 10.00 17.12 10.00
be:VB 20.00 10.00 14.34   0.31 11.96 20.00 14.34 20.00
seen:VBN 20.00 10.00 12.45   7.74   8.07 20.00 14.34 18.17
an:DT 10.00 20.00 20.00 20.00 20.00 10.00 20.00 10.00
X:NNP 20.00 12.85   8.69 14.34 11.96 20.00   9.34 20.00
-:NNP 20.00 15.00 10.00 15.00 12.00 20.00 10.00 20.00
ray:NN 20.00 11.04   5.41 11.70 11.96 20.00   8.95 19.54
.:. 10.00 19.69 20.00 20.00 19.48 10.00 20.00   0.00
NO_WORD   1.00 10.00 10.00   1.00   9.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -17.5732
Features matched: Adjunct.dropPosCxt: text adjunct "Chemical_weapon" of "projectiles" dropped on aligned hyp word "projectile"; Modal.dontKnow: possible -> actual; NullPunisher.aux: is; NullPunisher.article: The; NullPunisher.article: the; Quant.contract: [a,the]; RootEntailment.poorlyAlignedRoot: "visible" aligned badly to "seen"; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "contain vs. hyp "." <-punct-- "visible", which aligned to text "seen" args have different parents, different relations: text "tube" <-dobj-- "contain" vs. hyp "tube" <-nsubj-- "visible", which aligned to text "seen" args have different parents, different relations: text "projectiles" <-nsubj-- "contain" vs. hyp "projectile" <-prep_outside-- "visible", which aligned to text "seen" text "tube" is nsubjpass of "seen" while hyp "tube" is nsubj of "visible" which aligned to text "seen"
Hand-tuned score: -4.7500
Threshold: -11.4590

Inference ID: MIT-4

Txt: The incident at Mayak was the third shooting in recent weeks involving nuclear weapons or facilities in Russia.

Hyp: The incident at Mayak did involve nuclear_weapons or facilities . (MULTIPLE ANSWERS)

The
DT		 incident
NN		 Mayak
NNP		 did
VBD		 involve
VB		 nuclear_weapons
NNS		 facilities
NNS		 .
.
The:DT   0.00 20.00 20.50 20.00 20.00 20.00 20.00 10.00
incident:NN 20.00   0.00 10.46 12.42 12.29   9.96   7.44 18.92
Mayak:NNP 20.50 10.46   0.00 15.46 15.46 10.46 10.46 20.50
was:VBD 20.00 15.00 15.46 10.00 10.00 14.34 14.34 20.00
the:DT   0.00 20.00 20.50 20.00 20.00 20.00 20.00 10.00
third:JJ 20.00   9.44 12.46   9.85 12.00   8.40   9.44 19.58
shooting:NN 20.00   4.91 10.46 14.74 13.67   9.18   8.35 19.56
recent:JJ 20.00 11.29 12.46 10.89 11.10 11.96 11.96 19.05
weeks:NNS 20.00   9.82 10.46 13.69 13.51   9.96   8.37 18.10
involving:VBG 20.00 11.18 15.46   7.32   0.50 14.96 14.13 19.16
nuclear_weapons:NNS 20.00   9.96 10.46 14.96 14.96   0.00   8.03 20.00
facilities:NNS 20.00   7.44 10.46 11.76 11.63   8.03   0.00 19.25
Russia:NNP 20.50 10.50   9.96 15.50 15.50   9.84   9.84 20.50
.:. 10.00 18.92 20.50 17.99 18.56 20.00 19.25   0.00
NO_WORD   1.00 10.00 10.00   1.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -5.5000
Features matched: Adjunct.dropPosCxt: text adjunct "Russia" of "involving" dropped on aligned hyp word "involve"; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "incident" <-nsubj-- "shooting vs. hyp "incident" <-nsubj-- "involve", which aligned to text "involving" args have different parents but same relations: text "." <-punct-- "shooting vs. hyp "." <-punct-- "involve", which aligned to text "involving"
Hand-tuned score: -1.5500
Threshold: -11.4590

Inference ID: MIT-5

Txt: Utah's Dugway Proving Ground has been chosen as a site to test military vaccines against germ warfare agents.

Hyp: WH[PERSON] chose the Dugway Proving_Ground as a site to test vaccines . (MULTIPLE ANSWERS)

WH[PERSON]
NNP		 chose
VBD		 the
DT		 Dugway
NNP		 Proving_Ground
NNP		 a
DT		 site
NN		 test
NN		 vaccines
NNS		 .
.
Utah:NNP   0.00 15.50 20.50 14.96   8.02 20.50   7.61   9.84   9.84 20.50
Dugway_Proving_Ground:NNP   0.00 14.14 20.50   0.00   0.50 20.50   8.52   7.61   9.17 20.50
has:VBZ 17.50 10.00 20.00 15.46 12.52 20.00 12.52 14.34 14.34 20.00
been:VBN 17.50 10.00 20.00 15.46 13.67 20.00 14.34 12.74 12.34 20.00
chosen:VBN 17.50   0.50 20.00 15.46 12.36 20.00 13.17 12.39 14.34 19.69
a:DT 17.50 20.00 10.00 20.50 20.00   0.00 20.00 20.00 20.00 10.00
site:NN   0.00 15.00 20.00 10.46   6.03 20.00   0.00   8.08   9.34 19.21
to:TO 17.50 20.00 10.00 20.50 20.00 10.00 20.00 20.00 20.00 10.00
test:VB 17.50   7.27 20.00 15.46 12.11 20.00 13.08   0.00 10.43 19.47
military:JJ 17.50 11.30 20.00 12.46 12.00 20.00 12.00 11.22 11.58 20.00
vaccines:NNS   0.00 15.00 20.00 10.46   8.67 20.00   9.34   5.43   0.00 19.96
germ_warfare:NNS   0.00 15.00 20.00 10.46   8.73 20.00   9.47   8.35   9.67 20.00
agents:NNS   0.00 15.00 20.00 10.46   9.34 20.00   8.95   8.95   9.34 19.58
.:. 17.50 18.88 10.00 20.50 20.00 10.00 19.21 19.47 19.96   0.00
NO_WORD 10.00 10.00   1.00 10.00 10.00   1.00 10.00 10.00 10.00 10.00

Response: Dugway_Proving_Ground (INCORRECT)
Justification:
Alignment score: -10.0000
Features matched: Adjunct.dropPosCxt: text adjunct "military" of "vaccines" dropped on aligned hyp word "vaccines"; NullPunisher.article: the; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "Dugway_Proving_Ground" <-xsubj-- "test vs. hyp "WH[PERSON]" <-nsubj-- "chose", which aligned to text "chosen" args have different parents, different relations: text "Dugway_Proving_Ground" <-xsubj-- "test" vs. hyp "Proving_Ground" <-dobj-- "chose", which aligned to text "chosen" args have different parents, different relations: text "vaccines" <-dobj-- "test" vs. hyp "vaccines" <-prep_to-- "chose", which aligned to text "chosen" text "Dugway_Proving_Ground" is nsubjpass of "chosen" while hyp "WH[PERSON]" is nsubj of "chose" which aligned to text "chosen"
Hand-tuned score: -0.6000
Threshold: -11.4590

Inference ID: MIT-6

Txt: The Russian Emergencies Ministry predicts a further increase in 1999 of the concentration of toxic agents in marine burials of chemical weapons.

Hyp: The concentration of toxic agents in marine burials of chemical_weapons has increased prior to 1999 . (MULTIPLE ANSWERS)

The
DT		 concentration
NN		 toxic
JJ		 agents
NNS		 marine
JJ		 burials
NNS		 chemical_weapons
NNS		 has
VBZ		 increased
VBN		 1999
CD		 .
.
The:DT   0.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.50 10.00
Russian:NNP 20.50   8.53 12.46   8.55 10.55 10.50   9.45 14.19 14.19 24.96 20.50
Emergencies_Ministry:NNP 20.50   8.95 12.46   9.56 11.97   9.34   8.70 15.17 13.95 24.96 20.50
predicts:VBZ 20.00 15.00 11.96 15.00 12.00 15.00 15.00 10.00   8.77 18.37 20.00
a:DT 10.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.50 10.00
further:JJ 20.00 12.00   9.96 12.00 10.00 12.00 12.00 12.00 12.00 20.46 20.00
increase:NN 20.00   2.00 11.96   8.64 12.00   7.69   9.18 12.53   0.50 19.37 20.00
1999:CD 20.50 20.46 20.46 20.46 20.46 20.46 20.46 20.46 20.46   0.00 20.50
the:DT   0.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.50 10.00
concentration:NN 20.00   0.00   9.34 10.00 10.00   7.69   9.18 12.53   7.84 20.46 18.99
toxic:JJ 20.00   9.34   0.00 11.33   7.02   9.60 11.96 11.96 11.63 20.46 20.00
agents:NNS 20.00 10.00 11.33   0.00   7.97   8.08   8.95 14.34 12.79 20.46 19.58
marine:JJ 20.00 10.00   7.02   7.97   0.00 10.91 10.95 11.34 12.00 20.46 19.31
burials:NNS 20.00   7.69   9.60   8.08 10.91   0.00   9.18 15.00 12.69 20.46 20.00
chemical_weapons:NNS 20.00   9.18 11.96   8.95 10.95   9.18   0.00 14.34 14.18 20.46 20.00
.:. 10.00 18.99 20.00 19.58 19.31 20.00 20.00 20.00 19.86 20.50   0.00
NO_WORD   1.00 10.00   9.00 10.00   9.00 10.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -6.5000
Features matched: Adjunct.dropPosCxt: text adjunct "further" of "increase" dropped on aligned hyp word "increased"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1999; NullPunisher.aux: has; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "predicts vs. hyp "." <-punct-- "increased", which aligned to text "increase" text "concentration" is prep_of of "increase" while hyp "concentration" is nsubj of "increased" which aligned to text "increase" text "1999" is prep_in of "increase" while hyp "1999" is prep_prior_to of "increased" which aligned to text "increase"
Hand-tuned score: -0.5500
Threshold: -11.4590

Inference ID: MIT-7

Txt: The Army's chemical weapons incinerator has passed a milestone, the destruction of 5 million pounds of GB nerve agent.

Hyp: WH[PERSON] destroyed 5 million pounds of GB nerve_agent . (MULTIPLE ANSWERS)

WH[PERSON]
NNP		 destroyed
VBD		 5
CD		 million
CD		 pounds
NNS		 GB
NNP		 nerve_agent
NN		 .
.
The:DT 17.50 20.00 20.50 20.50 20.50 20.00 20.00 10.00
Army:NNP   0.00 15.50 25.00 25.00 15.00 10.50   9.56 20.50
chemical_weapons:NN   0.00 15.00 20.50 20.50   8.53   7.62   9.34 20.00
incinerator:NN   0.00 11.38 20.50 18.71   4.24   8.03   8.03 19.10
has:VBZ 17.50 10.00 19.19 19.19 14.19 12.52 13.76 20.00
passed:VBN 17.50   9.32 18.34 18.34 12.40 12.52 14.34 19.67
a:DT 17.50 20.00 20.50 20.50 20.50 20.00 20.00 10.00
milestone:NN   0.00 12.88 19.19 19.19   9.08   8.69   9.34 19.74
,:, 17.50 19.57 20.30 20.29 20.50 20.00 20.00   5.73
the:DT 17.50 20.00 20.50 20.50 20.50 20.00 20.00 10.00
destruction:NN   0.00   2.50 20.50 19.66   7.40 10.00 10.00 19.18
5:CD 17.50 20.50   0.00   5.13 16.46 16.96 19.84 20.50
million:CD 17.50 19.99   5.13   0.00 16.05 16.96 19.84 19.92
pounds:NNS   0.00 14.79 16.46 16.05   0.00   6.59   8.07 20.50
GB:NNP   0.00 15.00 16.96 16.96   6.59   0.00   7.41 20.00
nerve_agent:NN   0.00 15.00 19.84 19.84   8.07   2.00   0.00 20.00
.:. 17.50 19.06 20.50 19.92 20.50 20.00 20.00   0.00
NO_WORD 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: pounds (INCORRECT)
Justification:
Alignment score: -8.5000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "passed vs. hyp "." <-punct-- "destroyed", which aligned to text "destruction" text "pounds" is prep_of of "destruction" while hyp "WH[PERSON]" is nsubj of "destroyed" which aligned to text "destruction" text "pounds" is prep_of of "destruction" while hyp "pounds" is dobj of "destroyed" which aligned to text "destruction"
Hand-tuned score: -2.0000
Threshold: -11.4590

Inference ID: MIT-8

Txt: The military is training for the day a terrorist sets off not just a bomb, but a chemical or biological weapon that would spew out an invisible death.

Hyp: A terrorist will set_off a chemical or biological_weapon . (MULTIPLE ANSWERS)

A
DT		 terrorist
JJ		 will
MD		 set_off
VB		 a
DT		 chemical
NN		 biological_weapon
NN		 .
.
The:DT 10.00 20.00 10.00 20.00 10.00 20.00 20.00 10.00
military:NN 20.00   5.69 20.00 13.91 20.00   8.69   9.96 20.00
is:VBZ 20.00 11.34 20.00   6.24 20.00 12.34 14.34 20.00
training:VBG 20.00 10.97 18.69   8.86 20.00 14.87 14.18 20.00
the:DT 10.00 20.00 10.00 20.00 10.00 20.00 20.00 10.00
day:NN 20.00 10.05 18.69 13.72 20.00   9.34   8.95 18.14
a:DT   0.00 20.00 10.00 20.00   0.00 20.00 20.00 10.00
terrorist:JJ 20.00   0.00 20.00 11.47 20.00 11.34 10.95 20.00
sets_off:VBZ 20.00 11.47 17.99   0.00 20.00 14.67 13.56 20.00
not:RB 20.00 11.96 19.96 19.96 20.00 14.96 14.96 20.00
just:RB 20.00 11.96 19.96 19.96 20.00 14.96 14.96 16.65
a:DT   0.00 20.00 10.00 20.00   0.00 20.00 20.00 10.00
bomb:NN 20.00   5.57 20.00 13.03 20.00   8.75   5.49 20.00
,:, 10.00 20.00 10.00 20.00 10.00 19.23 20.00   5.73
a:DT   0.00 20.00 10.00 20.00   0.00 20.00 20.00 10.00
chemical:NN 20.00 11.34 20.00 14.67 20.00   0.00   9.34 19.18
biological:JJ 20.00   7.71 19.96 11.96 20.00 10.25   2.00 19.57
weapon:NN 20.00   7.55 20.00 13.56 20.00   8.42   0.00 19.36
that:WDT 10.00 20.00 10.00 20.00 10.00 20.00 20.00 10.00
would:MD 10.00 19.96   9.96 19.96 10.00 19.96 19.96 10.00
spew_out:VB 20.00 12.00 20.00   9.18 20.00 15.00 14.18 20.00
an:DT 10.00 20.00 10.00 20.00   8.73 20.00 20.00 10.00
invisible:JJ 20.00   8.82 19.96 11.96 20.00 11.96 11.96 20.00
death:NN 20.00   9.72 15.96 13.45 20.00   9.19   9.18 19.34
.:. 10.00 20.00 10.00 20.00 10.00 19.18 20.00   0.00
NO_WORD   1.00   9.00 10.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -17.0000
Features matched: Adjunct.dropPosCxt: text adjunct "spew_out" of "weapon" dropped on aligned hyp word "biological_weapon"; NullPunisher.article: a; NullPunisher.aux: will; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "training vs. hyp "." <-punct-- "set_off", which aligned to text "sets_off" args have different parents, different relations: text "chemical" <-nn-- "weapon" vs. hyp "chemical" <-dobj-- "set_off", which aligned to text "sets_off"
Hand-tuned score: -0.6500
Threshold: -11.4590

Inference ID: MIT-9

Txt: Virginia is ill prepared for a large-scale terrorist attack using chemical, biological or nuclear weapons, state officials say.

Hyp: Virginia is prepared for a small-scale terrorist_attack using chemical , biological or nuclear weapons . (MULTIPLE ANSWERS)

Virginia
NNP		 is
VBZ		 prepared
VBN		 a
DT		 small-scale
JJ		 terrorist_attack
NN		 using
VBG		 chemical
JJ		 biological
JJ		 nuclear
JJ		 weapons
NNS		 .
.
Virginia:NNP   0.00 14.84 15.50 20.50 12.46 10.17 15.50 11.84 12.46 12.46   9.84 20.50
is:VBZ 14.84   0.00   7.74 20.00 11.96 14.03 10.00   9.34 11.96 11.96 14.34 20.00
ill:RB 15.50 20.00 19.54 20.00 11.96 15.00 20.00 10.74   8.39 11.96 15.00 19.23
prepared:JJ 12.50   9.74   0.00 20.00   9.91 10.81 11.48   8.07   9.87   8.20   9.93 18.20
a:DT 20.50 20.00 20.00   0.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00
large-scale:JJ 12.46 11.96 11.41 20.00   3.85 11.96 10.10   8.23   9.96   8.74 10.98 19.27
terrorist_attack:NN 10.17 14.03 13.81 20.00 11.96   0.00 12.72 11.67 11.96 11.96   8.35 20.00
using:VBG 15.50 10.00   9.48 20.00 10.71 12.72   0.00 11.38 11.34 10.86 11.98 19.09
chemical:JJ 11.84   9.34 10.07 20.00   9.10 11.67 11.38   0.00   6.74   7.16   9.78 19.18
biological:JJ 12.46 11.96 11.87 20.00   9.96 11.96 11.34   6.74   0.00   5.45   8.37 19.57
nuclear:JJ 12.46 11.96 10.20 20.00   9.96 11.96 10.86   7.16   5.45   0.00   5.01 19.75
weapons:NNS   9.84 14.34 12.93 20.00 11.75   8.35 11.98   9.78   8.37   5.01   0.00 19.49
,:, 20.50 20.00 19.18 10.00 20.00 20.00 18.30 19.23 18.68 19.81 20.00   5.73
state:NN   2.50 10.51 12.74 20.00 11.25   8.47 14.51 11.34 11.96 11.58   9.34 19.47
officials:NNS   9.84 14.34 13.13 20.00 11.96   9.02 14.54 11.34 10.96   9.71   7.04 19.34
say:VBP 15.50   6.24   6.87 20.00 11.09 13.72   9.19 12.00 11.96 11.96 14.28 19.64
.:. 20.50 20.00 18.20 10.00 19.31 20.00 19.09 19.18 19.57 19.75 19.49   0.00
NO_WORD 10.00   1.00 10.00   1.00   9.00 10.00 10.00   9.00   9.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -10.8464
Features matched: Adjunct.dropPosCxt: text adjunct "ill" of "prepared" dropped on aligned hyp word "prepared"; Factive.unknownPassage: non factive text -- unknown: say-VBP; NullPunisher.aux: is; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "say vs. hyp "." <-punct-- "prepared", which aligned to text "prepared" text "Virginia" is nsubj of "prepared" while hyp "Virginia" is nsubjpass of "prepared" which aligned to text "prepared"
Hand-tuned score: -0.0500
Threshold: -11.4590

Inference ID: MIT-10

Txt: Unlike nuclear or chemical weapons, biological weapons can be made with readily available materials or equipment.

Hyp: Nuclear_weapons can be made with readily available materials or equipment . (MULTIPLE ANSWERS)

Nuclear_weapons
NNS		 can
MD		 be
VB		 made
VBN		 readily
RB		 available
JJ		 materials
NNS		 equipment
NN		 .
.
nuclear:JJ   7.00 19.96 11.96 11.26 10.77   9.35 10.25   8.89 19.75
chemical:JJ 11.34 19.34   9.34 11.15 11.50   9.96   7.97   8.84 19.18
weapons:NNS   0.00 17.12 14.34 13.35 13.45 10.65   7.12   6.44 19.49
,:, 20.00 10.00 20.00 18.24 18.95 19.90 18.74 18.38   5.73
biological_weapons:NNS   0.00 17.12 14.34 14.18 14.96 11.96   7.12   7.12 20.00
can:MD 17.12   0.00 19.34 13.88 19.96 19.96 17.12 17.12 10.00
be:VB 14.34 19.34   0.00   5.46 19.96 11.96 12.34 14.34 20.00
made:VBN 14.18 13.88   5.46   0.00 18.76 10.54 13.86 14.26 17.07
readily:RB 14.96 19.96 19.96 18.76   0.00   7.59 13.59 14.28 18.37
available:JJ 11.96 19.96 11.96 10.54   7.59   0.00   9.90 10.83 18.13
materials:NNS   7.12 17.12 12.34 13.86 13.59   9.90   0.00   3.93 17.80
equipment:NN   7.12 17.12 14.34 14.26 14.28 10.83   3.93   0.00 18.24
.:. 20.00 10.00 20.00 17.07 18.37 18.13 17.80 18.24   0.00
NO_WORD 10.00 10.00   1.00 10.00   9.00   9.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -0.0000
Features matched: Adjunct.dropPosCxt: text adjunct "weapons" of "made" dropped on aligned hyp word "made"; Modal.weakYes: possible -> possible; Adjunct.dropPosCxt&Align.veryGood:
Hand-tuned score: 3.0000
Threshold: -11.4590

Inference ID: MIT-11

Txt: Sudan says it's ready to sign the international convention banning chemical weapons.

Hyp: Sudan will produce chemical_weapons in the future . (MULTIPLE ANSWERS)

Sudan
NNP		 will
MD		 produce
VB		 chemical_weapons
NNS		 the
DT		 future
NN		 .
.
Sudan:NNP   0.00 20.50 14.84   9.84 20.50   9.84 20.50
says:VBZ 15.50 17.45   9.43 15.00 20.00 15.00 18.68
it:PRP 12.50 20.00 15.00 12.00 20.00 12.00 20.00
's:VBZ 14.84 17.85   7.34 13.67 20.00 11.81 18.25
ready:JJ 12.50 20.00   9.32 12.00 20.00 10.57 18.97
to:TO 20.50 10.00 20.00 20.00 10.00 20.00 10.00
sign:VB 13.02 15.88   8.44 13.03 20.00 10.86 19.33
the:DT 20.50 10.00 20.00 20.00   0.00 20.00 10.00
international:JJ 12.50 20.00 11.94 12.00 20.00 10.13 19.74
convention:NN 10.50 16.15 15.00   9.18 20.00   8.13 20.00
banning:VBG 15.50 20.00 10.00 14.18 20.00 15.00 19.85
chemical_weapons:NNS   9.84 20.00 13.67   0.00 20.00   8.03 20.00
.:. 20.50 10.00 19.33 20.00 10.00 19.06   0.00
NO_WORD 10.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -31.5605
Features matched: Adjunct.dropPosCxt: text adjunct "banning" of "convention" dropped on aligned hyp word "future"; NullPunisher.aux: will; RootEntailment.poorlyAlignedRoot: "produce" aligned badly to "says"; Structure.argsMismatch: args have different parents but same relations: text "chemical_weapons" <-dobj-- "banning vs. hyp "chemical_weapons" <-dobj-- "produce", which aligned to text "says" args have different parents, different relations: text "convention" <-dobj-- "sign" vs. hyp "future" <-prep_in-- "produce", which aligned to text "says"
Hand-tuned score: -3.5500
Threshold: -11.4590

Inference ID: MIT-12

Txt: The Scud C has a range of 500 kilometers and is manufactured in Syria with know-how from North Korea.

Hyp: A Scud C can fly 500 kilometers . (MULTIPLE ANSWERS)

A
DT		 Scud_C
NNP		 can
MD		 fly
VB		 500
CD		 kilometers
NNS		 .
.
The:DT 10.00 20.50 10.00 20.00 20.50 20.00 10.00
Scud_C:NNP 20.50   0.00 18.34 12.47 22.15   8.54 20.50
has:VBZ 20.00 14.84 18.69   9.34 19.19 13.69 20.00
a:DT   0.00 20.50 10.00 20.00 20.50 20.00 10.00
range:NN 20.00   9.22 15.89 12.45 18.34   7.84 19.48
500:CD 20.50 22.15 18.34 20.50   0.00 16.96 19.65
kilometers:NNS 20.00   8.54 17.84 11.79 16.96   0.00 20.00
is:VBZ 20.00 13.03 19.34   9.34 20.50 15.00 20.00
manufactured:VBN 20.00 14.68 14.76   7.18 20.50 14.44 19.08
Syria:NNP 20.50 14.67 19.84 14.84 25.00 10.50 20.50
know-how:NN 20.00 10.46 20.00 15.00 20.50 10.00 20.00
North_Korea:NNP 20.50 14.02 19.52 14.55 24.34   9.84 20.50
.:. 10.00 20.50 10.00 19.77 19.65 20.00   0.00
NO_WORD   1.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -24.1799
Features matched: Adjunct.dropPosCxt: text adjunct "North_Korea" of "manufactured" dropped on aligned hyp word "fly"; Modal.yes: actual -> possible; NullPunisher.aux: can; NullPunisher.article: A; Quant.contract: [the,a]; RootEntailment.poorlyAlignedRoot: "fly" aligned badly to "manufactured"; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "has vs. hyp "." <-punct-- "fly", which aligned to text "manufactured" args have different parents, different relations: text "Scud_C" <-nsubjpass-- "has" vs. hyp "Scud_C" <-nsubj-- "fly", which aligned to text "manufactured" args have different parents, different relations: text "kilometers" <-prep_of-- "range" vs. hyp "kilometers" <-dobj-- "fly", which aligned to text "manufactured"
Hand-tuned score: -0.6500
Threshold: -11.4590

Inference ID: MIT-13

Txt: Some of the 14 alleged bin Laden associates arrested in Jordan in December have begun talking to investigators.

Hyp: An associate was of bin_Laden arrested in the Middle_East . (MULTIPLE ANSWERS)

An
DT		 associate
NN		 was
VBD		 bin_Laden
NN		 arrested
VBN		 the
DT		 Middle_East
NNP		 .
.
Some:DT 10.00 20.00 20.00 20.00 20.00 10.00 20.00 10.00
the:DT 10.00 20.00 20.00 20.00 20.00   0.00 20.00 10.00
14:CD 20.50 19.19 20.50 19.42 20.50 20.50 19.42 19.34
alleged:JJ 20.00 11.45 12.00 12.00   7.44 20.00 12.00 19.98
bin_Laden:NNS 20.00   8.05 14.34   0.00 15.00 20.00   8.92 20.00
associates:NNS 20.00   0.50 14.34   8.05 13.73 20.00   9.02 20.00
arrested:VBN 20.00 15.00 10.00 15.00   0.00 20.00 13.82 20.00
Jordan:NNP 20.50   9.84 11.83   9.84 15.50 20.50   2.50 20.50
December:NNP 20.50   9.19 15.50   9.42 15.50 20.50   9.42 20.50
have:VBP 20.00 12.80   9.34 13.05 10.00 20.00 14.34 20.00
begun:VBN 20.00 12.80   9.34 13.05   8.53 20.00 14.34 19.62
talking:VBG 20.00 12.85 10.00 13.92   8.29 20.00 14.02 19.02
investigators:NNS 20.00   8.05 14.34   8.05   8.79 20.00   9.34 19.56
.:. 10.00 20.00 20.00 20.00 20.00 10.00 20.00   0.00
NO_WORD   1.00 10.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -27.4534
Features matched: Adjunct.dropPosCxt: text adjunct "December" of "Jordan" dropped on aligned hyp word "Middle_East"; Location.match: compl "bin_Laden" matches "bin_Laden" ; NullPunisher.article: An; NullPunisher.article: the; Quant.contract: [the,an]; RootEntailment.poorlyAlignedRoot: "was" aligned badly to "begun"; Structure.argsMismatch: args have different parents but same relations: text "bin_Laden" <-nn-- "associates vs. hyp "bin_Laden" <-prep_of-- "was", which aligned to text "begun" args have different parents, different relations: text "associates" <-prep_of-- "Some" vs. hyp "associate" <-nsubj-- "was", which aligned to text "begun" ; Location.match&OK.Root.poorlyOrUnAligned:
Hand-tuned score: 3.3000
Threshold: -11.4590

Inference ID: MIT-14

Txt: The U.S. Senate on Thursday unanimously approved legislation designed to punish Russia and other countries if they help Iran develop weapons of mass destruction.

Hyp: Russia will help Iran develop weapons_of_mass_destruction . (MULTIPLE ANSWERS)

Russia
NNP		 will
MD		 help
VB		 Iran
NNP		 develop
VB		 weapons_of_mass_destruction
NN		 .
.
The:DT 20.50 10.00 20.00 20.50 20.00 20.00 10.00
U.S._Senate:NNP 12.67 20.46 15.17 12.67 15.46   9.56 20.50
Thursday:NNP 15.00 19.19 14.19 15.00 15.50   9.14 20.50
unanimously:RB 15.46 19.96 19.96 15.46 19.96 14.96 20.00
approved:VBD 15.50 20.00   9.97 15.50   7.27 14.03 20.00
legislation:NN 10.50 20.00 13.35 10.50 14.29   8.03 19.87
designed:VBN 14.84 14.12   7.32 14.84   5.74 13.03 19.11
to:TO 20.50 10.00 20.00 20.50 20.00 20.00 10.00
punish:VB 15.50 20.00   6.42 15.50   8.24 14.96 19.53
Russia:NNP   0.00 20.50 14.84   5.34 15.50   9.84 20.50
other:JJ 12.46 19.96 11.96 12.46 11.96 11.96 20.00
countries:NNS   5.84 20.00 13.15   5.84 13.79   9.06 19.81
if:IN 20.50 20.00 20.00 20.50 20.00 20.00 20.00
they:PRP 12.50 20.00 15.00 12.50 15.00 12.00 20.00
help:VBP 14.84 18.69   0.00 14.84   5.44 13.76 18.29
Iran:NNP   5.34 20.50 14.84   0.00 15.50   9.84 20.50
develop:VB 15.50 20.00   5.44 15.50   0.00 13.90 19.03
weapons_of_weapons_of_mass_weapons_of_weapons_of_mass_destruction:NP 20.50 10.00 20.00 20.50 20.00 15.00 10.00
.:. 20.50 10.00 18.29 20.50 19.03 20.00   0.00
NO_WORD 10.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -24.0000
Features matched: NullPunisher.aux: will; NullPunisher.other: weapons_of_mass_destruction; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "approved vs. hyp "." <-punct-- "help", which aligned to text "help" args have different parents, different relations: text "Russia" <-dobj-- "punish" vs. hyp "Russia" <-nsubj-- "help", which aligned to text "help"
Hand-tuned score: -3.0500
Threshold: -11.4590

Inference ID: MIT-15

Txt: To date, Congress has authorized more than $4.7 billion for U.S. programs aimed at helping Russia and other newly independent states reduce the threats posed by their weapons of mass destruction.

Hyp: The U.S. does want the threat posed by Russia 's weapons of mass destruction to be reduced . (MULTIPLE ANSWERS)

The
DT		 U.S.
NNP		 does
VBZ		 want
VB		 the
DT		 threat
NN		 posed
VBN		 Russia
NNP		 weapons
NNS		 mass
JJ		 destruction
NN		 to
TO		 be
VB		 reduced
VBN		 .
.
date:NN 20.00   8.31 12.81 14.34 20.00   8.05 12.80   9.84   8.95   8.46   9.78 20.00 12.34 12.24 19.46
,:, 10.00 20.50 19.26 19.41 10.00 19.97 20.00 20.50 20.00 18.57 20.00 10.00 20.00 19.12   5.73
Congress:NNP 20.50 12.81 13.31 15.50 20.50 10.50 15.50 13.91 10.50 10.63 10.50 20.50 15.50 15.50 20.50
has:VBZ 20.00 13.02   9.34   9.34 20.00 13.69   7.53 13.02 14.34   9.53 15.00 20.00   9.34 10.00 20.00
authorized:VBN 20.00 15.50   8.96   9.82 20.00 14.50   8.07 15.50 13.83 10.07 14.58 20.00   8.07   4.71 19.27
more_than:$ 10.00 20.50 20.00 20.00 10.00 20.00 20.00 20.50 20.00 20.00 20.00 10.00 20.00 20.00 10.00
$:$ 10.50 25.00 20.08 20.50 10.50 20.50 20.50 25.00 20.25 19.68 20.50 10.50 20.50 20.02   9.91
4.7:CD 20.50 24.96 20.46 20.46 20.50 19.98 20.46 24.96 20.46 20.46 20.46 20.50 20.46 20.29 19.03
billion:CD 20.50 25.00 20.50 20.50 20.50 19.19 19.19 25.00 18.36 18.34 20.13 20.50 20.50 20.50 20.40
U.S.:NNP 20.50   0.00 13.09 14.84 20.50   9.84 15.50   5.34   9.84 10.63 10.50 20.50 14.84 15.50 20.50
programs:NNS 20.00 10.50 13.79 12.90 18.77   6.45 12.72 10.50   7.81   8.77   7.69 20.00 15.00 12.32 20.00
aimed:VBN 20.00 13.02   9.34   7.65 20.00 12.79   6.51 13.02 13.35   9.33 13.35 20.00   5.51   6.51 20.00
at:IN 20.00 20.50 18.28 20.00 13.50 20.00 20.00 20.50 20.00 20.00 20.00 18.44 20.00 20.00 20.00
helping:VBG 20.00 15.50 10.00   9.76 20.00 13.16   8.69 15.50 14.04   7.89 15.00 20.00 10.00   7.71 18.04
Russia:NNP 20.50   5.34 14.84 14.84 20.50   9.84 15.50   0.00   9.84 11.84 10.50 20.50 14.84 15.50 20.50
other:JJ 20.00 12.46 11.96 11.96 20.00 11.96 11.96 12.46 11.96   9.96 11.96 20.00 11.96 11.96 20.00
newly:RB 20.00 15.46 19.23 19.96 20.00 13.83 17.95 15.46 14.96 11.40 14.21 20.00 19.96 19.72 19.74
independent:JJ 20.00 11.84 10.11 11.34 20.00 10.05 11.46 11.84 10.95   8.95 12.00 20.00 11.34 11.56 19.51
states:NNS 20.00   5.84   8.88 10.95 20.00   8.14 12.74   5.63   6.49   9.80   7.44 20.00 10.51 14.51 19.43
reduce:VB 20.00 15.50   8.34   7.65 20.00 13.51   6.51 15.50 13.31 12.00 14.96 20.00 10.00   0.50 20.00
the:DT   0.00 20.50 18.65 20.00   0.00 20.00 20.00 20.50 20.00 20.00 20.00 10.00 20.00 20.00 10.00
threats:NNS 20.00   9.84 13.11 14.34 20.00   0.31 12.04   9.84   4.28   9.67   5.63 20.00 14.34 14.69 19.03
posed:VBN 20.00 15.50   7.32   7.65 20.00 10.25   0.00 15.50 13.35   8.95 11.52 20.00   5.46   6.51 20.00
their:PRP$ 20.00 12.50 15.00 15.00 20.00 12.00 15.00 12.50 12.00 15.00 12.00 20.00 15.00 15.00 20.00
weapons:NNS 20.00   9.84 13.95 14.34 20.00   6.29 13.35   9.84   0.00   8.77   5.17 20.00 14.34 14.44 19.49
mass:JJ 20.00 10.63 10.13 11.34 20.00   9.61   8.95 11.84   8.77   0.00   7.78 20.00   9.80 12.00 20.00
destruction:NN 20.00 10.50 14.27 12.44 20.00   4.92 11.52 10.50   5.17   7.78   0.00 20.00 15.00 13.81 19.18
.:. 10.00 20.50 20.00 17.90 10.00 19.33 20.00 20.50 19.49 20.00 19.18 10.00 20.00 19.74   0.00
NO_WORD   1.00 10.00   1.00 10.00   1.00 10.00 10.00 10.00 10.00   9.00 10.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -31.4584
Features matched: Factive.inPositiveEmbedding: embedded positive text; NullPunisher.aux: does; NullPunisher.functionWord: to; NullPunisher.aux: be; NullPunisher.article: The; RootEntailment.poorlyAlignedRoot: "want" aligned badly to "reduce"; Structure.argsMismatch: args have different parents but same relations: text "threats" <-nsubjpass-- "posed vs. hyp "threat" <-dobj-- "want", which aligned to text "reduce" args have different parents but same relations: text "." <-punct-- "authorized vs. hyp "." <-punct-- "want", which aligned to text "reduce" args have different parents, different relations: text "U.S." <-nn-- "programs" vs. hyp "U.S." <-nsubj-- "want", which aligned to text "reduce"
Hand-tuned score: -3.3000
Threshold: -11.4590

Inference ID: MIT-16

Txt: A father and a son were admitted to hospital with strychnine poisoning after consuming Herron products.

Hyp: The Herron products did contain poison . (MULTIPLE ANSWERS)

The
DT		 Herron
NNP		 products
NNS		 did
VBD		 contain
VB		 poison
NN		 .
.
A:DT 10.00 20.50 20.00 20.00 20.00 20.00 10.00
father:NN 20.00 10.46   7.47 12.29 14.97   9.34 19.25
a:DT 10.00 20.50 20.00 20.00 20.00 20.00 10.00
son:NN 20.00 10.46   7.47 12.19 15.00   9.34 19.76
were:VBD 20.00 15.46 12.34   6.07   8.33 12.34 20.00
admitted:VBN 20.00 15.46 14.84   2.23   9.38 14.63 19.33
hospital:NN 20.00 10.46   8.03 13.81 14.68   9.30 20.00
strychnine:JJ 20.00 12.46   9.34 12.00 12.00   4.08 20.00
poisoning:NN 20.00 10.46   8.78 14.68 12.55   1.00 19.56
consuming:NN 20.00 10.46   9.75 12.32 13.36   7.32 20.00
Herron:NN 20.50   0.00 10.46 15.46 15.46 10.46 20.50
products:NNS 20.00 10.46   0.00 15.00 13.29   7.34 18.93
.:. 10.00 20.50 18.93 17.99 18.50 20.00   0.00
NO_WORD   1.00 10.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -16.3841
Features matched: Adjunct.dropPosCxt: text adjunct "strychnine" of "poisoning" dropped on aligned hyp word "poison"; NullPunisher.aux: did; NullPunisher.article: The; RootEntailment.poorlyAlignedRoot: "contain" aligned badly to "admitted"; Structure.relMismatch: text "products" is prep_after of "admitted" while hyp "products" is nsubj of "contain" which aligned to text "admitted" text "poisoning" is prep_with of "admitted" while hyp "poison" is dobj of "contain" which aligned to text "admitted"
Hand-tuned score: -1.6500
Threshold: -11.4590

Inference ID: MIT-17

Txt: About 400 of the more than 2,600 village residents were hospitalized in July and August.

Hyp: Some were of the village residents not hospitalized in July and August . (MULTIPLE ANSWERS)

Some
DT		 were
VBD		 the
DT		 village
NN		 residents
NNS		 not
RB		 hospitalized
VBN		 July
NNP		 August
NNP		 .
.
About:RB 20.00 19.96 20.00 14.96 14.96   9.96 19.96 15.46 15.46 20.00
400:CD 20.50 20.46 20.50 20.08 20.46 20.46 19.76 24.96 24.96 20.18
the:DT 10.00 20.00   0.00 20.00 20.00 20.00 20.00 20.50 20.50 10.00
more_than:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.50 20.50 20.00
2,600:CD 20.50 20.46 20.50 19.26 19.36 20.46 20.46 24.96 24.96 20.50
village:NN 20.00 14.34 20.00   0.00   4.97 14.96 12.79 10.50 10.50 19.50
residents:NNS 20.00 14.34 20.00   4.97   0.00 14.96 13.86 10.50 10.50 19.19
were:VBD 20.00   0.00 20.00 14.34 14.34 19.96 10.00 15.50 15.50 20.00
hospitalized:VBN 20.00 10.00 20.00 12.79 13.86 19.96   0.00 15.50 15.50 20.00
July:NNP 20.50 15.50 20.50 10.50 10.50 15.46 15.50   0.00   4.57 20.50
August:NNP 20.50 15.50 20.50 10.50 10.50 15.46 15.50   4.57   0.00 20.50
.:. 10.00 20.00 10.00 19.50 19.19 20.00 20.00 20.50 20.50   0.00
NO_WORD 10.00 10.00   1.00 10.00 10.00   9.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -25.0000
Features matched: Adjunct.dropPosCxt: text adjunct "2,600" of "residents" dropped on aligned hyp word "residents"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 07/01/1000; Location.mismatch: no clear info of matching: be(X, prep_of); Polarity.hypNegMarker: "hospitalized": neg; NullPunisher.other: not; NullPunisher.other: Some; Structure.argsMismatch: args have different parents but same relations: text "residents" <-prep_of-- "400 vs. hyp "residents" <-prep_of-- "were", which aligned to text "were" args have different parents but same relations: text "." <-punct-- "hospitalized vs. hyp "." <-punct-- "were", which aligned to text "were"
Hand-tuned score: -4.5000
Threshold: -11.4590

Inference ID: MIT-18

Txt: The only bacterial attack in America came in 1984, when a cult poisoned a salad bar in Oregon with salmonella, sickening 700 people.

Hyp: A biological_attack has occurred in the U.S. . (MULTIPLE ANSWERS)

A
DT		 biological_attack
NN		 has
VBZ		 occurred
VBN		 the
DT		 U.S.
NNP		 .
.
The:DT 10.00 20.00 20.00 20.00   0.00 20.50 10.00
only:RB 20.00 14.96 19.96 19.96 20.00 15.46 20.00
bacterial:JJ 20.00 11.96 11.96   9.03 20.00 12.46 20.00
attack:NN 20.00   0.00 13.69 10.51 20.00 10.50 20.00
America:NNP 20.50 10.46 13.02 15.50 20.50   0.00 20.50
came:VBD 20.00 14.03 10.00   3.37 20.00 15.50 17.90
1984:CD 20.50 20.46 20.46 19.95 20.50 24.96 19.56
,:, 10.00 20.00 20.00 19.63 10.00 20.50   5.73
when:WRB 10.00 19.96 19.96 19.96 10.00 20.46 10.00
a:DT   0.00 20.00 20.00 20.00 10.00 20.50 10.00
cult:NN 20.00   9.34 12.53 11.96 20.00   8.09 20.00
poisoned:VBD 20.00 13.81   7.53   5.75 20.00 14.84 19.77
a:DT   0.00 20.00 20.00 20.00 10.00 20.50 10.00
salad_bar:NN 20.00   8.92 14.34 15.00 20.00   9.41 20.00
Oregon:NNP 20.50 10.46 13.02 15.50 20.50   2.00 20.50
salmonella:NN 20.00   9.96 14.34 12.65 20.00   9.84 20.00
,:, 10.00 20.00 20.00 19.63 10.00 20.50   5.73
sickening:VBG 20.00 13.81 10.00   7.92 20.00 15.50 19.36
700:CD 20.50 20.46 20.46 20.46 20.50 24.96 19.99
people:NNS 20.00   8.81 15.00 14.55 20.00   8.31 17.46
.:. 10.00 20.00 20.00 18.92 10.00 20.50   0.00
NO_WORD   1.00 10.00   1.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -12.4082
Features matched: Adjunct.dropPosCxt: text adjunct "1984" of "came" dropped on aligned hyp word "occurred"; NullPunisher.article: A; NullPunisher.aux: has; NullPunisher.article: the; Quant.contract: [the,a]; Structure.argsMismatch: args have different parents but same relations: text "America" <-prep_in-- "attack vs. hyp "U.S." <-prep_in-- "occurred", which aligned to text "came"
Hand-tuned score: -0.7500
Threshold: -11.4590

Inference ID: MIT-19

Txt: Blix said the new weapons inspection team is composed of scientists from around the world, including South America, Thailand, Bangladesh and Eastern Europe.

Hyp: Scientists are from Hungary members of the new weapons inspection team . (MULTIPLE ANSWERS)

Scientists
NNS		 are
VBP		 Hungary
JJ		 members
NNS		 the
DT		 new
JJ		 weapons
NNS		 inspection
NN		 team
NN		 .
.
Blix:NNP 10.46 15.46 16.96 10.46 20.50 12.46 10.46 10.46 10.46 20.50
said:VBD 15.00 10.00 12.50 14.59 20.00 11.87 15.00 14.62 12.80 18.58
the:DT 20.00 20.00 20.50 18.72   0.00 20.00 20.00 20.00 20.00 10.00
new:JJ 11.96 11.96 10.46 11.96 20.00   0.00 11.96 11.39 11.96 20.00
weapons:NNS   8.95 15.00 11.84   8.95 20.00 11.96   0.00   6.88   8.95 19.49
inspection:NN 10.00 15.00 12.50 10.00 20.00 11.39   6.88   0.00   9.52 19.65
team:NN 10.00 15.00 12.50   6.69 20.00 11.96   8.95   9.52   0.00 19.71
is:VBZ 14.34   0.50 11.84 14.34 20.00 11.96 14.34 15.00 12.80 20.00
composed:VBN 15.00 10.00 12.50   9.88 20.00 11.65 14.06 15.00 15.00 18.99
scientists:NNS   0.00 15.00 11.84   8.05 20.00 11.96   6.92   7.53   8.79 20.00
from:IN 20.00 20.00 20.50 18.06 20.00 20.00 20.00 20.00 20.00 20.00
the:DT 20.00 20.00 20.50 18.72   0.00 20.00 20.00 20.00 20.00 10.00
world:NN   8.95 15.00 11.84   6.72 20.00 11.96   8.95 10.00   8.13 19.25
,:, 20.00 20.00 20.50 18.70 10.00 19.57 20.00 20.00 20.00   5.73
including:VBG 15.00 10.00 12.50 11.71 20.00 10.90 13.49 15.00 13.07 19.39
South_America:NNP   9.45 14.84   9.67   8.63 20.50 12.46   9.45 10.50   8.63 20.50
,:, 20.00 20.00 20.50 18.70 10.00 19.57 20.00 20.00 20.00   5.73
Thailand:NNP   9.84 15.50   7.34   9.84 20.50 12.46   9.84 10.50 10.50 20.50
,:, 20.00 20.00 20.50 18.70 10.00 19.57 20.00 20.00 20.00   5.73
Bangladesh:NNP   9.84 15.50   7.34   9.84 20.50 12.46   9.84 10.50 10.50 20.50
Eastern_Europe:NNP   9.97 15.46 16.67   9.29 20.50 12.46   9.97 10.46   9.29 20.50
.:. 20.00 20.00 20.50 19.57 10.00 20.00 19.49 19.65 19.71   0.00
NO_WORD 10.00 10.00   9.00 10.00   1.00   9.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -24.1929
Features matched: Adjunct.addPosCxt: hyp added Hungary[Hungary-JJ]; Factive.unknownPassage: non factive text -- unknown: said-VBD; Location.mismatch: no clear info of matching: be(X, prep_from); NullPunisher.other: Hungary; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "said vs. hyp "." <-punct-- "are", which aligned to text "is" args have different parents, different relations: text "scientists" <-prep_of-- "composed" vs. hyp "Scientists" <-nsubj-- "are", which aligned to text "is" args have different parents, different relations: text "team" <-nsubjpass-- "composed" vs. hyp "members" <-prep_from-- "are", which aligned to text "is"
Hand-tuned score: -5.5000
Threshold: -11.4590

Inference ID: MIT-20

Txt: Biological select agents include about 40 viruses, bacteria, rickettsia, fungi, and toxins whose transfer within the United States is controlled.

Hyp: The transfer of biological select agents within the United_States is controlled . (MULTIPLE ANSWERS)

The
DT		 transfer
NN		 biological
JJ		 select
JJ		 agents
NNS		 the
DT		 United_States
NNPS		 is
VBZ		 controlled
VBN		 .
.
Biological:JJ 20.00 11.96   0.00   9.96 11.96 20.00 11.96 11.96 11.96 20.00
select:JJ 20.00   9.61   9.74   0.00 12.00 20.00 12.00 12.00 10.30 20.00
agents:NNS 20.00   8.05 11.13 12.00   0.00 20.00   8.13 14.34 13.95 19.58
include:VBP 20.00 12.92 11.04   8.38 14.74 20.00 13.81   8.07   7.17 19.86
40:CD 20.50 19.19 20.46 20.40 20.50 20.50 20.50 20.50 18.52 18.57
viruses:NNS 20.00   6.83   7.25 10.04   4.23 20.00   8.72 14.34 12.44 20.00
,:, 10.00 19.58 18.68 18.68 20.00 10.00 20.00 20.00 19.38   5.73
bacteria:NNS 20.00   8.11   6.17 12.00   8.11 20.00   9.34 14.34 13.95 19.75
,:, 10.00 19.58 18.68 18.68 20.00 10.00 20.00 20.00 19.38   5.73
rickettsia:NN 20.00   8.11 11.96 12.00   8.11 20.00   9.34 14.34 13.95 20.00
,:, 10.00 19.58 18.68 18.68 20.00 10.00 20.00 20.00 19.38   5.73
fungi:NNS 20.00   8.05   8.53 11.67   8.05 20.00   8.13 14.34 13.95 19.31
,:, 10.00 19.58 18.68 18.68 20.00 10.00 20.00 20.00 19.38   5.73
toxins:NNS 20.00   9.34   6.53 12.00   9.34 20.00   9.34 12.34 14.34 20.00
whose:WP$ 20.00 12.00 15.00 15.00 12.00 20.00 12.00 15.00 15.00 20.00
transfer:NN 20.00   0.00 11.83   9.61   8.05 20.00   8.81 14.34 11.12 18.97
the:DT   0.00 20.00 20.00 20.00 20.00   0.00 20.00 20.00 20.00 10.00
United_States:NNPS 20.50   9.31 12.46 12.50   8.63 20.50   0.50 13.26 13.97 20.50
is:VBZ 20.00 14.34 11.96 12.00 14.34 20.00 12.76   0.00   7.80 20.00
controlled:VBN 20.00 11.12 11.96 10.30 13.95 20.00 13.47   7.80   0.00 19.72
.:. 10.00 18.97 19.57 20.00 19.58 10.00 20.00 20.00 19.72   0.00
NO_WORD   1.00 10.00   9.00   9.00 10.00   1.00 10.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -7.5000
Features matched: Factive.inPositiveEmbedding: embedded positive text; NullPunisher.article: The; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "include vs. hyp "." <-punct-- "controlled", which aligned to text "controlled"
Hand-tuned score: -1.1000
Threshold: -11.4590

Inference ID: MIT-21

Txt: During his trip to five Arab capitals and Israel, which ended last Monday, Powell proposed easing sanctions on Iraqi imports.

Hyp: Powell did travel_to WH[LOCATION] . (MULTIPLE ANSWERS)

Powell
NNP		 did
VBD		 travel_to
NN		 WH[LOCATION]
NNS		 .
.
his:PRP$ 12.50 15.00 12.00 17.50 20.00
trip:NN   9.45 11.26   4.42   0.00 19.66
five:CD 25.00 19.19 20.46 17.50 19.35
Arab:JJ 15.05 12.50 12.46 17.50 20.50
capitals:NNS   9.45   9.55   9.96   0.00 20.00
Israel:NNP 14.34 15.50 10.46   0.00 20.50
,:, 20.50 19.80 20.00 17.50   5.73
which:WDT 20.50 20.00 20.00 17.50 10.00
ended:VBD 13.55   6.25 13.45 17.50 20.00
last:JJ 11.45   9.69 10.45 17.50 20.00
Monday:NNP 15.00 14.19 10.46   0.00 20.50
,:, 20.50 19.80 20.00 17.50   5.73
Powell:NNP   0.00 15.50 10.46   0.00 20.50
proposed:VBD 15.50   9.94 14.96 17.50 19.99
easing:VBG 15.50   7.69 13.45 17.50 20.00
sanctions:NNS 10.50 12.69   8.84   0.00 20.00
Iraqi:JJ 15.05 12.50 12.46 17.50 20.50
imports:NNS   8.55 11.76   9.96   0.00 19.96
.:. 20.50 17.99 20.00 17.50   0.00
NO_WORD 10.00 10.00 10.00 10.00 10.00

Response: sanctions (INCORRECT)
Justification:
Alignment score: -16.3644
Features matched: Adjunct.dropPosCxt: text adjunct "imports" of "sanctions" dropped on aligned hyp word "WH[LOCATION]"; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "proposed"
Hand-tuned score: -0.5000
Threshold: -11.4590

Inference ID: MIT-22

Txt: The Chemlab, for instance, is about the size of a Palm Pilot and will be able to detect a range of biological agents.

Hyp: The Chemlab is a handheld device . (MULTIPLE ANSWERS)

The
DT		 Chemlab
NNP		 is
VBZ		 a
DT		 handheld
JJ		 device
NN		 .
.
The:DT   0.00 20.50 20.00 10.00 20.00 20.00 10.00
Chemlab:NNP 20.50   5.00 15.46 20.50 12.46 10.46 20.50
,:, 10.00 20.50 20.00 10.00 20.00 18.69   5.73
instance:NN 20.00 10.46 12.74 20.00 11.47   7.26 18.88
,:, 10.00 20.50 20.00 10.00 20.00 18.69   5.73
is:VBZ 20.00 15.46   0.00 20.00 11.96 14.34 20.00
the:DT   0.00 20.50 20.00 10.00 20.00 20.00 10.00
size:NN 20.00 10.46 12.34 20.00 11.96   8.69 19.15
a:DT 10.00 20.50 20.00   0.00 20.00 20.00 10.00
Palm_Pilot:NNP 20.50   9.96 15.17 20.50 12.46   9.06 20.50
will:MD 10.00 20.46 20.00 10.00 19.96 17.85 10.00
be:VB 20.00 15.46   0.31 20.00 11.96 14.34 20.00
able:JJ 20.00 12.46 11.96 20.00   7.96 11.29 17.24
to:TO 10.00 20.50 20.00 10.00 20.00 20.00 10.00
detect:VB 20.00 15.46 10.00 20.00   8.80   8.03 19.62
a:DT 10.00 20.50 20.00   0.00 20.00 20.00 10.00
range:NN 20.00 10.46 10.46 20.00 11.96   8.03 19.48
biological_agents:NNS 20.00 10.46 14.34 20.00 11.96   9.34 20.00
.:. 10.00 20.50 20.00 10.00 20.00 19.00   0.00
NO_WORD   1.00 10.00   1.00   1.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -27.0323
Features matched: Adjunct.addPosCxt: hyp added handheld[handheld-JJ]; Adjunct.dropPosCxt: text adjunct "biological_agents" of "range" dropped on aligned hyp word "device"; Factive.factivePassage: factive entails : detect-VB; NullPunisher.other: handheld; NullPunisher.aux: is; Quant.contract: [a,a]; RootEntailment.poorlyAlignedRoot: "device" aligned badly to "range"; Structure.argsMismatch: args have different parents but same relations: text "Chemlab" <-nsubj-- "is vs. hyp "Chemlab" <-nsubj-- "device", which aligned to text "range" args have different parents but same relations: text "." <-punct-- "is vs. hyp "." <-punct-- "device", which aligned to text "range"
Hand-tuned score: -3.5500
Threshold: -11.4590

Inference ID: MIT-23

Txt: Russia could suspend the destruction of its stockpile of chemical weapons if foreign aid is not increased, a senior official and negotiator was quoted as saying by the AVN Military News agency.

Hyp: Russia does have a stockpile of chemical_weapons . (MULTIPLE ANSWERS)

Russia
NNP		 does
VBZ		 have
VB		 a
DT		 stockpile
NN		 chemical_weapons
NNS		 .
.
Russia:NNP   0.00 14.84 14.84 20.50 10.50   9.84 20.50
could:MD 20.46 19.96 19.96 10.00 19.96 19.96 10.00
suspend:VB 15.50   6.98   5.73 20.00 13.34 15.00 19.99
the:DT 20.50 18.65 20.00 10.00 20.00 20.00 10.00
destruction:NN 10.50 14.27 15.00 20.00   7.28   9.18 19.18
its:PRP$ 12.50 15.00 15.00 20.00 12.00 12.00 20.00
stockpile:NN 10.50 13.13 12.02 20.00   0.00 10.00 20.00
chemical_weapons:NNS   9.84 13.95 13.95 20.00 10.00   0.00 20.00
if:IN 20.50 16.87 20.00 18.03 20.00 20.00 20.00
foreign_aid:NN 10.46 14.96 13.81 20.00   6.96   9.18 20.00
is:VBZ 14.84   9.34   7.80 20.00 15.00 13.67 20.00
not:RB 15.46 19.96 19.96 20.00 14.96 14.96 20.00
increased:VBN 15.50 10.00   7.61 20.00 12.14 14.18 19.86
,:, 20.50 19.26 20.00 10.00 20.00 20.00   5.73
a:DT 20.50 20.00 20.00   0.00 20.00 20.00 10.00
senior:JJ 11.84 10.11 10.05 20.00 11.69 10.95 20.00
official:NN   9.84 13.11 13.05 20.00   9.30   8.95 18.97
negotiator:NN   9.84 13.11 13.05 20.00   9.90   8.95 20.00
was:VBD 10.63   9.34   9.34 20.00 15.00 14.34 20.00
quoted:VBN 15.50   9.67   7.61 20.00 15.00 15.00 19.47
as:IN 20.50 17.84 20.00 20.00 20.00 20.00 20.00
saying:VBG 15.50 10.00 10.00 20.00 15.00 15.00 18.98
the:DT 20.50 18.65 20.00 10.00 20.00 20.00 10.00
AVN_Military_News:NNP 14.96 14.29 15.46 20.50   9.56 10.46 20.50
agency:NN 10.50 10.85 15.00 20.00   8.13   9.18 19.35
.:. 20.50 20.00 20.00 10.00 20.00 20.00   0.00
NO_WORD 10.00   1.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -11.7298
Features matched: Factive.inPositiveEmbedding: embedded positive text; Modal.dontKnow: possible -> actual; NullPunisher.aux: does; NullPunisher.article: a; RootEntailment.poorlyAlignedRoot: "have" aligned badly to "suspend"; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "quoted vs. hyp "." <-punct-- "have", which aligned to text "suspend" args have different parents, different relations: text "stockpile" <-prep_of-- "destruction" vs. hyp "stockpile" <-dobj-- "have", which aligned to text "suspend"
Hand-tuned score: -5.1500
Threshold: -11.4590

Inference ID: MIT-24

Txt: BioPort Corp. of Lansing, Michigan is the sole U.S. manufacturer of an anthrax vaccine.

Hyp: There are three U.S. manufacturers of anthrax vaccine . (MULTIPLE ANSWERS)

There
EX		 are
VBP		 three
CD		 U.S.
NNP		 manufacturers
NNS		 anthrax
NN		 vaccine
NN		 .
.
BioPort_Corp.:NNP 20.50 15.46 24.96 14.96 10.46 10.46 10.46 20.50
Lansing:NNP 20.50 15.50 25.00   6.33   9.84   9.84   9.84 20.50
,:, 10.00 20.00 20.05 20.50 19.28 20.00 20.00   5.73
Michigan:NNP 20.50 15.50 25.00   6.33   9.84   9.84   9.84 20.50
is:VBZ 20.00   0.50 20.50 14.84 14.34 14.34 12.34 20.00
the:DT 10.00 20.00 20.50 20.50 20.00 20.00 20.00 10.00
sole:JJ 20.00 12.00 20.50 10.02 10.11 10.11   9.34 19.53
U.S.:NNP 20.50 15.50 25.00   0.00   8.09   9.84   9.84 20.50
manufacturer:NN 20.00 15.00 20.50   8.09   0.50   8.11   6.71 19.29
an:DT 10.00 20.00 20.50 20.50 20.00 20.00 20.00 10.00
anthrax:NN 20.00 15.00 19.15   9.84   8.11   0.00   7.01 20.00
vaccine:NN 20.00 15.00 20.34   9.84   9.11   7.01   0.00 19.57
.:. 10.00 20.00 19.46 20.50 20.00 20.00 19.57   0.00
NO_WORD   1.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -16.0000
Features matched: Adjunct.addPosCxt: hyp added three[three-CD]; Adjunct.dropPosCxt: text adjunct "sole" of "manufacturer" dropped on aligned hyp word "manufacturers"; NullPunisher.other: three; NullPunisher.functionWord: There; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "manufacturer vs. hyp "." <-punct-- "are", which aligned to text "is"
Hand-tuned score: -3.6000
Threshold: -11.4590

Inference ID: MIT-25

Txt: Two Al Qaeda computers have been found in Kabul.

Hyp: The computers did belong to Al Qaeda . (MULTIPLE ANSWERS)

The
DT		 computers
NNS		 did
VBD		 belong
VB		 Al_Qaeda
NNP		 .
.
Two:CD 20.50 20.50 19.19 20.50 24.96 20.50
Al:NNP 20.50   9.84 15.50 15.50   0.00 20.50
Qaeda:NN 20.50 10.50 15.50 15.50   5.00 20.50
computers:NNS 20.00   0.00 15.00 15.00 10.17 19.80
have:VBP 20.00 13.05   7.32   8.33 15.17 20.00
been:VBN 20.00 14.34   6.07   6.28 12.70 20.00
found:VBN 20.00 13.84   6.26   9.66 15.46 19.57
Kabul:NNP 20.50   9.84 15.50 15.50 13.17 20.50
.:. 10.00 19.80 17.99 19.06 20.50   0.00
NO_WORD   1.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -14.2782
Features matched: Adjunct.dropPosCxt: text adjunct "Qaeda" of "computers" dropped on aligned hyp word "computers"; NullPunisher.aux: did; NullPunisher.article: The; RootEntailment.poorlyAlignedRoot: "belong" aligned badly to "been"; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "found vs. hyp "." <-punct-- "belong", which aligned to text "been" args have different parents, different relations: text "computers" <-nsubjpass-- "found" vs. hyp "computers" <-nsubj-- "belong", which aligned to text "been" args have different parents, different relations: text "Al" <-nn-- "computers" vs. hyp "Al_Qaeda" <-prep_to-- "belong", which aligned to text "been"
Hand-tuned score: -3.6500
Threshold: -11.4590

Inference ID: MIT-26

Txt: The White House has ordered a purge of information from government agency websites that could be exploited by terrorists seeking weapons of mass destruction.

Hyp: Government_agency websites do contain information that could be exploited by terrorists . (MULTIPLE ANSWERS)

Government_agency
JJ		 websites
NNS		 do
VBP		 contain
VB		 information
NN		 that
WDT		 could
MD		 be
VB		 exploited
VBN		 terrorists
NNS		 .
.
The:DT 20.00 20.00 20.00 20.00 20.00 10.00 10.00 20.00 20.00 20.00 10.00
White_House:NNP   8.35 10.46 14.26 15.50   8.63 20.50 20.46 14.84 14.68   9.45 20.50
has:VBZ 12.00 14.96   7.53 10.00 13.69 20.00 19.96   9.34 10.00 14.34 20.00
ordered:VBN   9.59 14.96   7.53 10.00 12.10 20.00 19.96   7.74   8.35 12.88 20.00
a:DT 20.00 20.00 20.00 20.00 20.00 10.00 10.00 20.00 20.00 20.00 10.00
purge:NN 10.08   8.20 10.44 15.00   8.77 20.00 19.96 15.00 11.17   5.84 20.00
information:NN 10.13   6.10 12.85 12.91   0.00 20.00 19.96 15.00 13.42   7.32 19.32
government_agency:NNS   2.00   9.96 13.84 15.00   8.13 20.00 19.96 15.00 12.94 10.00 20.00
websites:NNS 11.96   0.00 12.64 14.96   6.10 20.00 19.96 14.96 11.96   8.64 20.00
that:WDT 20.00 20.00 20.00 20.00 20.00   0.00 10.00 20.00 20.00 20.00 10.00
could:MD 19.96 19.96 19.96 19.96 19.96 10.00   0.00 19.96 19.96 19.96 10.00
be:VB 12.00 14.96   6.07   1.00 15.00 20.00 19.96   0.00 10.00 14.34 20.00
exploited:VBN   9.94 11.96   9.74   9.30 13.42 20.00 19.96 10.00   0.00 13.17 20.00
terrorists:NNS 12.00   8.64 13.35 14.29   7.32 20.00 19.96 14.34 13.17   0.00 20.00
seeking:VBG 11.18 14.03 10.00   9.25 14.04 20.00 19.96 10.00   6.99 15.00 18.66
weapons_of_weapons_of_mass_weapons_of_weapons_of_mass_destruction:NP 20.00 20.00 20.00 20.00 20.00 10.00 10.00 20.00 20.00 20.00 10.00
.:. 20.00 20.00 18.81 18.50 19.32 10.00 10.00 20.00 20.00 20.00   0.00
NO_WORD   9.00 10.00   1.00 10.00 10.00   1.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -23.0000
Features matched: Adjunct.dropPosCxt: text adjunct "seeking" of "terrorists" dropped on aligned hyp word "terrorists"; NullPunisher.aux: do; RootEntailment.poorlyAlignedRoot: "contain" aligned badly to "ordered"; Structure.relMismatch: text "websites" is prep_from of "ordered" while hyp "websites" is nsubj of "contain" which aligned to text "ordered"
Hand-tuned score: -1.5500
Threshold: -11.4590

Inference ID: MIT-27

Txt: Agriculture accounts for 22 million jobs and 16.4 percent of the nation's gross domestic product.

Hyp: 22 million people employed in are agriculture . (MULTIPLE ANSWERS)

22
CD		 million
CD		 people
NNS		 employed
VBN		 in
IN		 are
VBP		 agriculture
NN		 .
.
Agriculture:NNP 20.50 20.50   6.02 15.00 20.00 15.00   0.00 20.00
accounts:VBZ 19.19 19.19 13.91   7.44 20.00   8.69 13.35 20.00
22:CD   0.00   4.30 20.50 20.36 20.50 16.96 20.26 19.32
million:CD   4.30   0.00 19.39 20.36 20.50 16.96 20.50 19.92
jobs:NNS 19.19 19.19   7.24   7.88 20.00 13.69   7.10 20.00
16.4:JJ 22.81 24.72 12.46 12.46 20.50 12.46 11.33 18.80
percent:NN 23.69 22.39 10.10 14.51 20.50 14.19 10.50 20.02
the:DT 20.50 20.50 20.00 20.00 20.00 20.00 20.00 10.00
nation:NN 20.50 20.50   6.02 13.57 20.00 15.00   6.02 20.00
gross_domestic_gross_domestic_product:NN 17.65 17.65   9.06 14.96 20.00 13.23   9.06 20.00
.:. 19.32 19.92 17.46 19.70 20.00 20.00 20.00   0.00
NO_WORD 10.00 10.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -33.6795
Features matched: NullPunisher.other: in; NullPunisher.aux: are; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "accounts vs. hyp "." <-punct-- "agriculture", which aligned to text "Agriculture" args have different parents, different relations: text "jobs" <-prep_for-- "accounts" vs. hyp "people" <-nsubj-- "agriculture", which aligned to text "Agriculture"
Hand-tuned score: -3.0500
Threshold: -11.4590

Inference ID: MIT-28

Txt: The Pentagon is considering a resumption of anthrax vaccinations for U.S. troops.

Hyp: Anthrax vaccinations of U.S. troops have occurred previously . (MULTIPLE ANSWERS)

Anthrax
JJ		 vaccinations
NNS		 U.S.
NNP		 troops
NNS		 have
VBP		 occurred
VBN		 previously
RB		 .
.
The:DT 20.00 20.00 20.50 20.00 20.00 20.00 20.00 10.00
Pentagon:NNP 10.53 10.50 12.81   8.31 14.45 15.50 15.46 20.50
is:VBZ 11.34 15.00 14.84 15.00   7.80 10.00 19.96 20.00
considering:VBG 12.00 14.17 15.50 14.74   7.80   9.70 19.96 19.11
a:DT 20.00 20.00 20.50 20.00 20.00 20.00 20.00 10.00
resumption:NN 12.00   8.35 10.50   7.23 15.00 13.16 14.96 20.00
anthrax:NN   2.00   7.78   9.84   5.43 13.11 13.34 14.96 20.00
vaccinations:NNS 12.00   0.00 10.50   8.48 15.00 15.00 14.96 20.00
U.S.:NNP 11.84 10.50   0.00   8.09 14.84 15.50 15.46 20.50
troops:NNS 12.00   8.48   8.09   0.00 15.00 13.54 14.96 20.00
.:. 20.00 20.00 20.50 20.00 20.00 18.92 18.93   0.00
NO_WORD   9.00 10.00 10.00 10.00   1.00 10.00   9.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -26.6977
Features matched: Adjunct.addPosCxt: hyp added previously[previously-RB]; NullPunisher.other: previously; NullPunisher.aux: have; RootEntailment.poorlyAlignedRoot: "occurred" aligned badly to "considering"; Structure.parentsMismatch: args have different parents, different relations: text "vaccinations" <-prep_of-- "resumption" vs. hyp "vaccinations" <-nsubj-- "occurred", which aligned to text "considering"
Hand-tuned score: -6.0500
Threshold: -11.4590

Inference ID: MIT-29

Txt: Libya said on Wednesday it is not developing chemical, biological or nuclear weapons, denying allegations made by a US official.

Hyp: A U.S. official did claim that Libya is developing chemical , biological or nuclear weapons . (MULTIPLE ANSWERS)

A
DT		 U.S.
NNP		 official
NN		 did
VBD		 claim
NN		 that
IN		 Libya
NNP		 is
VBZ		 developing
VBG		 chemical
JJ		 biological
JJ		 nuclear
JJ		 weapons
NNS		 .
.
Libya:NNP 20.50   5.34   9.84 15.50 10.50 20.50   0.00 14.84 15.50 11.84 12.46 12.46   9.84 20.50
said:VBD 20.00 15.50 15.00   8.52 11.68 20.00 15.50   6.24   9.40 11.60 11.96 11.96 15.00 18.58
Wednesday:NNP 20.50 15.00 10.50 14.19   9.19 20.50 15.00 15.50 15.50 12.50 12.46 12.46 10.50 20.50
it:PRP 20.00 12.50 12.00 15.00 12.00 20.00 12.50 15.00 15.00 15.00 15.00 15.00 12.00 20.00
is:VBZ 20.00 14.84 14.34   6.07 15.00 20.00 14.84   0.00 10.00   9.34 11.96 11.96 14.34 20.00
not:RB 20.00 15.46 14.96 19.96 14.96 20.00 15.46 19.96 19.96 11.96 11.96 11.96 14.96 20.00
developing:VBG 20.00 15.50 15.00 10.00 15.00 20.00 15.50 10.00   0.00 10.77   8.69   8.56 13.86 19.24
chemical:JJ 20.00 11.84 11.34 11.51 10.64 20.00 11.84   9.34 10.77   0.00   6.74   7.16   9.78 19.18
biological:JJ 20.00 12.46 10.75 11.74 11.96 20.00 12.46 11.96   8.69   6.74   0.00   5.45   8.37 19.57
nuclear:JJ 20.00 12.46   9.93 11.71 11.96 20.00 12.46 11.96   8.56   7.16   5.45   0.00   5.01 19.75
weapons:NNS 20.00   9.84   8.12 14.76   8.35 20.00   9.84 14.34 13.86   9.78   8.37   5.01   0.00 19.49
,:, 10.00 20.50 18.57 19.80 19.02 20.00 20.50 20.00 18.73 19.23 18.68 19.81 20.00   5.73
denying:VBG 20.00 15.50 15.00   8.24 10.83 20.00 15.50 10.00   9.50 12.00 11.96 11.96 15.00 19.34
allegations:NNS 20.00 10.50   6.70 12.17   2.22 20.00 10.50 15.00 15.00 11.20 11.96 11.96   9.04 19.30
made:VBN 20.00 15.50 13.16   3.40 11.67 20.00 15.50   5.46   8.62 11.15 11.96 11.26 13.35 17.07
a:DT   0.00 20.50 20.00 20.00 20.00 20.00 20.50 20.00 20.00 20.00 20.00 20.00 20.00 10.00
US:NNP 20.50   0.00   9.84 15.50 10.50 20.50   5.34 14.84 15.50 11.84 12.46 12.46   9.84 20.50
official:NN 20.00   9.43   0.00 14.09   9.73 20.00   9.84 14.34 15.00 11.34 10.75   9.93   8.12 18.97
.:. 10.00 20.50 18.97 17.99 19.76 20.00 20.50 20.00 19.24 19.18 19.57 19.75 19.49   0.00
NO_WORD   1.00 10.00 10.00 10.00 10.00   1.00 10.00   1.00 10.00   9.00   9.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -20.6633
Features matched: Polarity.txtNegMarker: "developing": neg; NullPunisher.functionWord: that; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "allegations" <-dobj-- "denying vs. hyp "claim" <-dobj-- "did", which aligned to text "made" args have different parents but same relations: text "." <-punct-- "said vs. hyp "." <-punct-- "did", which aligned to text "made" args have different parents, different relations: text "developing" <-rcmod-- "Wednesday" vs. hyp "developing" <-ccomp-- "did", which aligned to text "made" text "official" is prep_by of "made" while hyp "official" is nsubj of "did" which aligned to text "made"
Hand-tuned score: -1.1000
Threshold: -11.4590

Inference ID: MIT-30

Txt: Al Wafa is one of the organisations whose assets have been frozen in the United States amid suspicions that it might be giving support to Osama Bin Laden's al-Qaeda network.

Hyp: WH[PERSON] has given support to al-Qaeda . (MULTIPLE ANSWERS)

WH[PERSON]
NNP		 has
VBZ		 given
VBN		 support
NN		 al-Qaeda
NNP		 .
.
Al:NNP   0.00 13.02 15.50   9.84 10.00 20.50
Wafa:NNP   0.00 15.46 15.46 10.46   9.96 20.50
is:VBZ 17.50   8.64 10.00 11.07 15.50 20.00
one:CD 17.50 19.19 17.17 18.32 25.00 20.50
the:DT 17.50 20.00 20.00 20.00 20.50 10.00
organizations:NNS   0.00 12.53 12.82   6.51   8.31 19.84
whose:WP$ 17.50 15.00 15.00 12.00 12.50 20.00
assets:NNS   0.00 15.00 14.71   2.00 10.50 20.00
have:VBP 17.50   0.50 10.00 12.32 15.50 20.00
been:VBN 17.50   9.34 10.00 11.07 15.50 20.00
frozen:VBN 17.50 10.00 10.00 12.72 15.50 19.85
the:DT 17.50 20.00 20.00 20.00 20.50 10.00
United_States:NNPS   0.00 13.02 14.45   9.22 12.81 20.50
suspicions:NNS   0.00 12.53 11.99   7.82 10.50 19.75
that:IN 17.50 20.00 20.00 20.00 20.50 20.00
it:PRP 17.50 15.00 15.00 12.00 12.50 20.00
might:MD 17.50 17.53 20.00 18.69 20.50 10.00
be:VB 17.50   9.34 10.00 11.07 15.50 20.00
giving:VBG 17.50 10.00   0.50 10.88 15.50 17.97
support:NN   0.00 13.69 12.76   0.00 10.50 18.74
Osama_Bin_Laden:NNP   0.00 14.84 15.46   9.06 14.96 20.50
al-Qaeda:NNP   0.00 15.00 15.00 10.00   0.50 20.00
network:NN   0.00 14.34 13.51   7.12   8.63 19.99
.:. 17.50 20.00 19.07 18.74 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00 10.00

Response: Osama_Bin_Laden (INCORRECT)
Justification:
Alignment score: -8.0000
Features matched: Adjunct.dropPosCxt: text adjunct "network" of "giving" dropped on aligned hyp word "given"; Factive.inPositiveEmbedding: embedded positive text; Modal.dontKnow: possible -> actual; NullPunisher.aux: has; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "one vs. hyp "." <-punct-- "given", which aligned to text "giving" args have different parents, different relations: text "Osama_Bin_Laden" <-poss-- "network" vs. hyp "WH[PERSON]" <-nsubj-- "given", which aligned to text "giving" args have different parents, different relations: text "al-Qaeda" <-nn-- "network" vs. hyp "al-Qaeda" <-prep_to-- "given", which aligned to text "giving"
Hand-tuned score: -2.5500
Threshold: -11.4590

Word similarity table built on Thu Jul 06 14:28:38 PDT 2006 using command:
java edu.stanford.nlp.rte.WordSimilarityGenerator -info /u/nlp/rte/data/byformat/align/stochastic/mit_dev.pipeline.align.xml -output /u/nlp/rte/data/byformat/wordsim/stochastic/mit_dev.pipeline.wordsim.html -lex.BasicWN off