Txt/Hyp term similarities

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


Inference ID: PARC-7

Txt: The technician cooled the room.

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

The
DT		 technician
NN		 did
VBD		 lower
VB		 the
DT		 temperature
NN		 the
DT		 room
NN
The:DT   0.0000 20.0000 20.0000 20.0000   0.0000 20.0000   0.0000 20.0000
technician:NN 20.0000   0.0000 12.8419 13.9455 20.0000   8.1543 20.0000   8.7126
cooled:VBD 20.0000 13.0771   7.5256   7.6174 20.0000   9.5898 20.0000 13.1524
the:DT   0.0000 20.0000 20.0000 20.0000   0.0000 20.0000   0.0000 20.0000
room:NN 20.0000   8.7126 13.0321 11.3074 20.0000   6.9719 20.0000   0.0000
NO_WORD   1.0000 10.0000   1.0000 10.0000   1.0000 10.0000   1.0000 10.0000

Response: yes (CORRECT)
Justification:
Alignment score: -2.7022
Features matched: NullPunisher.other: temperature; NullPunisher.article: the; NullPunisher.aux: did; RootEntailment.poorlyAlignedRoot: "lower" aligned badly to "cooled"
Hand-tuned score: -2.1500
Threshold: -11.4590

Inference ID: PARC-8

Txt: The technician raised the temperature of the room.

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

The
DT		 technician
NN		 did
VBD		 cool
VB		 the
DT		 room
NN
The:DT   0.0000 20.0000 20.0000 20.0000   0.0000 20.0000
technician:NN 20.0000   0.0000 12.8419 13.0771 20.0000   8.7126
raised:VBD 20.0000 13.9455   5.4355   6.9537 20.0000 13.6874
the:DT   0.0000 20.0000 20.0000 20.0000   0.0000 20.0000
temperature:NN 20.0000   8.1543 12.5256   9.5898 20.0000   6.9719
the:DT   0.0000 20.0000 20.0000 20.0000   0.0000 20.0000
room:NN 20.0000   8.7126 13.0321 11.0027 20.0000   0.0000
NO_WORD   1.0000 10.0000   1.0000 10.0000   1.0000 10.0000

Response: yes (INCORRECT)
Justification:
Alignment score: -1.6590
Features matched: NullPunisher.aux: did; RootEntailment.poorlyAlignedRoot: "cool" aligned badly to "raised"; Structure.parentsMismatch: args have different parents, different relations: text "room" <-prep_of-- "temperature" vs. hyp "room" <-dobj-- "cool", which aligned to text "raised" ; Structure.parentsMismatch&Align.veryGood:
Hand-tuned score: -7.0500
Threshold: -11.4590

Inference ID: PARC-100

Txt: Bin Laden was last seen in the house.

Hyp: Osama_Bin_Laden is WH[LOCATION] . (in the house)

Osama_Bin_Laden
NNP		 is
VBZ		 WH[LOCATION]
JJ
Bin_Laden:NNP   0.0000 14.3420   0.0000
was:VBD 14.3420   0.5000 17.5000
last:RB 13.5620 18.3258 17.5000
seen:VBN 14.3420   7.7439 17.5000
the:DT 20.0000 20.0000 17.5000
house:NN   8.9455 14.3420   0.0000
NO_WORD 10.0000   1.0000   9.0000

Response: house (INCORRECT)
Justification:
Alignment score: -1.0000
Features matched: Factive.factivePassage: factive entails : seen-VBN-0:4; NullPunisher.aux: is; Structure.parentsMismatch: args have different parents, different relations: text "Bin_Laden" <-nsubjpass-- "seen" vs. hyp "Osama_Bin_Laden" <-nsubj-- "WH[LOCATION]", which aligned to text "house" ; Structure.parentsMismatch&Align.veryGood:
Hand-tuned score: -4.0500
Threshold: -11.4590

Word similarity table built on Tue May 02 02:32:17 PDT 2006 using command:
java edu.stanford.nlp.rte.WordSimilarityGenerator -info /u/nlp/rte/data/byformat/align/simple/chris.align.xml -output /u/nlp/rte/data/byformat/wordsim/simple/chris.wordsim.html