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: wcmac_001

Txt: Mt. Whitney is the tallest peak in California.

Hyp: Mt. Whitney is the tallest peak. (don't know)

Mt
UH		 .
.		 Whitney
NNP		 is
VBZ		 the
DT		 tallest
JJS		 peak
NN		 .
.
Mt:FW   0.00 10.50 25.00 20.50 10.50 20.50 20.50 10.50
.:. 10.50   0.00 20.50 20.00 10.00 20.00 19.09   0.00
Whitney:NNP 25.00 20.50   0.00 14.84 20.50 12.46   2.94 20.50
is:VBZ 20.50 20.00 14.84   0.00 20.00 11.96 14.34 20.00
the:DT 10.50 10.00 20.50 20.00   0.00 20.00 20.00 10.00
tallest:JJS 20.50 20.00 12.46 11.96 20.00   0.00 11.96 20.00
peak:NN 20.50 19.09   2.50 14.34 20.00 11.96   0.00 19.09
California:NNP 20.00 20.50 12.52 14.84 20.50 12.46   8.02 20.50
.:. 10.50   0.00 20.50 20.00 10.00 20.00 19.09   0.00
NO_WORD 10.00 10.00 10.00   1.00   1.00   9.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Adjunct.dropPosCxt: text adjunct "California" of "peak" dropped on aligned hyp word "peak"; Polarity.hypNegMarker: "tallest": JJS; Polarity.txtNegMarker: "tallest": JJS; Polarity.txtNegMarker&PolarityhypNegMarker:
Hand-tuned score: 1.5000
Threshold: -11.4590

Inference ID: 293

Txt: The Townsend Thoresen cross-Channel ferry Herald of Free Enterprise capsized outside the Belgian port of Zeebrugge on the 6th of March with the loss of 135 lives.

Hyp: 100 or more people lost their lives in a ferry sinking. (yes)

100
CD		 or
CC		 more
JJR		 people
NNS		 lost
VBD		 their
PRP$		 lives
NNS		 a
DT		 ferry
NN		 sinking
NN		 .
.
The:DT 20.50 10.00 20.00 20.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00
Townsend_Thoresen:JJ 24.96 20.50   9.52 12.46 12.46 15.50 11.52 20.50 11.97 12.46 20.50
cross-Channel:JJ 20.46 20.00   9.96 11.96 11.96 15.00 11.96 20.00 11.96 11.96 20.00
ferry:NN 19.06 20.00 10.95   9.73 15.00 12.00   8.95 20.00   0.00   7.69 19.35
Herald_of_Free_Enterprise:NN 24.34 20.50 11.52   8.51 13.51 12.50   8.28 20.50   9.22 10.46 20.50
capsized:VBD 20.50 20.00 12.00 13.11   8.84 15.00 12.23 20.00 11.85 14.31 19.02
the:DT 20.50 10.00 20.00 20.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00
Belgian:JJ 25.00 20.50   8.55 12.50 12.50 15.50 10.55 20.50 11.45 12.50 20.50
port:NN 19.64 20.00 10.08   8.18 15.00 12.00   8.08 20.00   5.35   8.28 20.00
Zeebrugge:NNP 24.96 20.50 12.46 10.46 15.46 12.50 10.46 20.50 10.46 10.46 20.50
the:DT 20.50 10.00 20.00 20.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00
6th:NN 20.45 20.00 11.96   9.96 13.36 12.00   9.96 20.00   9.09   9.96 20.00
March:NNP 22.84 20.50 11.84   8.63 13.63 12.50   7.73 20.50   7.60   8.19 20.50
the:DT 20.50 10.00 20.00 20.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00
loss:NN 19.19 20.00 12.00   9.83   2.50 12.00   6.94 20.00   7.69   3.02 19.54
135:CD   0.30 20.50 20.46 19.25 19.20 20.50 20.28 20.50 18.15 20.46 19.37
lives:NNS 18.34 20.00 10.05   4.44 13.87 12.00   0.00 20.00   8.95   7.90 18.56
.:. 18.81 10.00 20.00 17.46 17.98 20.00 18.56 10.00 19.35 19.02   0.00
NO_WORD 10.00 10.00   9.00 10.00 10.00 10.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -50.2591
Features matched: NullPunisher.other: or; NullPunisher.functionWord: their; NullPunisher.article: a; NullPunisher.other: more; Quant.contract: [the,a]; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "capsized vs. hyp "." <-punct-- "lost", which aligned to text "loss" args have different parents, different relations: text "loss" <-prep_with-- "capsized" vs. hyp "sinking" <-prep_in-- "lost", which aligned to text "loss" text "lives" is prep_of of "loss" while hyp "people" is nsubj of "lost" which aligned to text "loss" text "lives" is prep_of of "loss" while hyp "lives" is dobj of "lost" which aligned to text "loss"
Hand-tuned score: -3.2000
Threshold: -11.4590

Inference ID: 199

Txt: Kozlowski and the company's former chief financial officer, Mark Swartz, were sentenced, on Monday, to up to 25 years in prison.

Hyp: Kozlowski was sentenced, Monday, to serve up to 25 years in prison. (yes)

Kozlowski
NNP		 was
VBD		 sentenced
VBN		 ,
,		 Monday
NNP		 ,
,		 to
TO		 serve_up
VB		 25
CD		 years
NNS		 prison
NN		 .
.
Kozlowski:NNP   0.00 15.46 15.46 20.50 14.96 20.50 20.50 15.46 24.96 10.46 10.46 20.50
the:DT 20.50 20.00 20.00 10.00 20.50 10.00 10.00 20.00 20.50 20.00 20.00 10.00
company:NN 10.46 14.34 13.13 18.72 10.50 18.72 20.00 15.00 18.74 10.00   7.44 18.58
former:JJ 12.46 12.00 12.00 20.00 12.50 20.00 20.00 12.00 20.50 12.00   9.44 20.00
chief_financial_chief_financial_officer:JJ 12.46 11.67 11.96 20.00 12.46 20.00 20.00 11.96 20.46 11.96 11.47 20.00
,:, 20.50 20.00 20.00   0.00 20.50   0.00 10.00 20.00 18.24 19.54 20.00   5.73
Mark_Swartz:NNP   9.96 15.17 14.42 20.50 13.92 20.50 20.50 13.36 23.23   9.42   9.52 20.50
,:, 20.50 20.00 20.00   0.00 20.50   0.00 10.00 20.00 18.24 19.54 20.00   5.73
were:VBD 15.46   0.50 10.00 20.00 15.50 20.00 20.00   8.04 20.50 15.00 14.34 20.00
sentenced:VBN 15.46 10.00   0.00 20.00 12.73 20.00 20.00   9.18 18.34 11.63   6.40 20.00
,:, 20.50 20.00 20.00   0.00 20.50   0.00 10.00 20.00 18.24 19.54 20.00   5.73
Monday:NNP 14.96 15.50 12.73 20.50   0.00 20.50 20.50 15.50 22.84   7.73 10.50 20.50
,:, 20.50 20.00 20.00   0.00 20.50   0.00 10.00 20.00 18.24 19.54 20.00   5.73
up_to:IN 20.50 20.00 20.00 20.00 20.50 20.00 20.00 20.00 20.50 20.00 20.00 20.00
25:CD 24.96 20.50 18.34 18.24 22.84 18.24 20.50 20.50   0.00 18.34 18.18 19.52
years:NNS 10.46 15.00 11.63 19.54   7.73 19.54 20.00 15.00 18.34   0.00   7.02 19.49
prison:NN 10.46 14.34   6.40 20.00 10.50 20.00 20.00 15.00 18.18   7.02   0.00 19.98
.:. 20.50 20.00 20.00   5.73 20.50   5.73 10.00 20.00 19.52 19.49 19.98   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -25.6758
Features matched: Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1000; NullPunisher.functionWord: to; Structure.relMismatch: text "Monday" is prep_on of "sentenced" while hyp "Monday" is dobj of "sentenced" which aligned to text "sentenced"
Hand-tuned score: 0.9000
Threshold: -11.4590

Inference ID: 667

Txt: Nagin defended his plan to return up to 180,000 people to the city, within a week and a half, despite concerns about the short supply of drinking water and heavily polluted floodwaters.

Hyp: As many as 180,000 people could return within 10 days to a city that held 460,000 before Hurricane Katrina struck. (don't know)

As
RB		 many
JJ		 as
IN		 180,000
CD		 people
NNS		 could
MD		 return
VB		 10
CD		 days
NNS		 a
DT		 city
NN		 that
WDT		 held
VBD		 460,000
CD		 before
IN		 Hurricane
NNP		 Katrina
NNP		 struck
VBD		 .
.
Nagin:NNP 15.46 12.46 20.50 24.96 10.46 20.46 15.46 24.96 10.46 20.50 10.46 20.50 15.46 24.96 20.50 10.46   9.96 15.46 20.50
defended:VBD 20.00 11.96 20.00 19.74 15.00 19.96   7.45 20.50 15.00 20.00 14.94 20.00   3.21 18.58 20.00 15.00 15.46   5.49 19.37
his:PRP$ 20.00 13.71 20.00 20.50 12.00 20.00 15.00 20.50 12.00 20.00 12.00 20.00 15.00 20.50 20.00 12.00 12.50 15.00 20.00
plan:NN 14.34 11.96 20.00 19.23   0.67 19.96 10.57 19.37   9.73 20.00   8.03 20.00 12.60 20.26 20.00 10.00 10.46 12.32 19.69
to:TO 20.00 20.00 20.00 20.50 20.00 10.00 20.00 20.50 20.00 10.00 20.00 10.00 20.00 20.50 17.58 20.00 20.50 20.00 10.00
return:VB 19.34 11.96 20.00 19.89 15.00 19.96   0.00 19.19 13.51 20.00 14.34 20.00   6.71 17.13 20.00 15.00 15.46   5.88 19.01
up:RP 20.00 19.96 20.00 20.46 17.62   9.96 20.00 20.50 20.00 10.00 20.00 10.00 17.62 20.46 20.00 20.00 20.46 17.62 10.00
180,000:CD 20.46 20.46 20.50   0.00 19.60 20.46 19.89   5.00 20.46 20.50 20.46 20.50 18.75   0.94 20.50 20.46 24.96 19.54 20.50
people:NNS 15.00 11.96 20.00 19.60   0.00 19.96 15.00 20.50   9.07 20.00   7.81 20.00 12.62 19.48 20.00 10.00 10.46 12.62 17.46
the:DT 20.00 20.00 20.00 20.50 20.00 10.00 20.00 20.50 20.00 10.00 20.00 10.00 20.00 20.50 20.00 20.00 20.50 20.00 10.00
city:NN 11.38 11.96 20.00 20.46   7.81 19.96 14.34 20.50 10.00 20.00   0.00 20.00 14.34 20.22 20.00 10.00 10.46 15.00 19.66
,:, 20.00 20.00 20.00 20.50 18.63 10.00 19.36 18.98 19.67 10.00 20.00 10.00 18.41 20.50 20.00 20.00 20.50 19.63   5.73
a:DT 20.00 20.00 20.00 20.50 20.00 10.00 20.00 20.50 20.00   0.00 20.00 10.00 20.00 20.50 18.78 20.00 20.50 20.00 10.00
week:NN 15.00 11.96 20.00 20.46 10.00 19.96 13.69 18.34   7.23 20.00 10.00 20.00 12.84 20.46 20.00 10.00 10.46 14.62 16.93
a:DT 20.00 20.00 20.00 20.50 20.00 10.00 20.00 20.50 20.00   0.00 20.00 10.00 20.00 20.50 18.78 20.00 20.50 20.00 10.00
half:NN 15.00 11.96 20.00 17.39   9.10 19.96 13.69 16.23   7.84 20.00 10.00 20.00 12.84 18.38 20.00 10.00 10.46 12.38 18.65
,:, 20.00 20.00 20.00 20.50 18.63 10.00 19.36 18.98 19.67 10.00 20.00 10.00 18.41 20.50 20.00 20.00 20.50 19.63   5.73
concerns:NNS 15.00 11.96 20.00 20.46   7.81 19.96 12.82 20.50   9.79 20.00   7.81 20.00 10.25 20.46 18.32 10.00 10.46 14.64 18.68
the:DT 20.00 20.00 20.00 20.50 20.00 10.00 20.00 20.50 20.00 10.00 20.00 10.00 20.00 20.50 20.00 20.00 20.50 20.00 10.00
short:JJ   9.11   9.96 20.00 19.65 12.00 19.96   9.12 20.44 11.78 20.00   8.29 20.00   9.72 20.31 20.00 12.00 12.46   9.32 16.73
supply:NN 15.00 11.96 20.00 18.97 10.00 19.96 12.02 18.34   7.84 20.00   8.43 20.00 12.45 18.56 20.00   6.94 10.46 12.72 20.00
drinking_water:NN 12.34 11.96 20.00 20.46   8.81 19.96 13.51 20.50 10.00 20.00   9.34 20.00 13.81 20.46 20.00   8.47 10.46 13.81 20.00
heavily:RB   9.96 11.96 20.00 20.16 14.96 19.96 19.31 20.46 14.96 20.00 12.77 20.00 19.34 19.24 20.00 14.96 15.46 19.96 18.58
polluted:JJ 12.00   9.96 20.00 19.70   9.62 19.96 12.00 19.01 12.00 20.00   9.14 20.00   9.62 17.98 20.00 12.00 12.46   9.62 20.00
floodwaters:NNS 14.96 11.96 20.00 18.59   7.43 19.96 14.96 20.31   9.40 20.00   7.96 20.00 14.96 18.26 20.00   9.96 10.46 13.38 20.00
.:. 20.00 20.00 20.00 20.50 17.46 10.00 19.01 19.16 20.00 10.00 19.66 10.00 18.83 20.30 20.00 20.00 20.50 18.77   0.00
NO_WORD   9.00   9.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00   1.00 10.00   1.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -107.6135
Features matched: Adjunct.addPosCxt: hyp added As[As-RB]; Adjunct.dropPosCxt: text adjunct "concerns" of "defended" dropped on aligned hyp word "struck"; Factive.inPositiveEmbedding: embedded positive text; Modal.yes: actual -> possible; NullPunisher.functionWord: as; NullPunisher.article: a; NullPunisher.functionWord: As; NullPunisher.functionWord: that; NullPunisher.aux: could; NullPunisher.other: before; NullPunisher.other: many; Numeric.mismatch: NUMBER mismatch: '460000.0' vs '<=180000.0'; Quant.contract: [the,a]; Structure.argsMismatch: args have different parents but same relations: text "city" <-prep_to-- "defended vs. hyp "city" <-prep_to-- "return", which aligned to text "return" args have different parents but same relations: text "." <-punct-- "defended vs. hyp "." <-punct-- "return", which aligned to text "return" text "people" is prep_to of "return" while hyp "people" is nsubj of "return" which aligned to text "return" text "people" is prep_to of "return" while hyp "days" is prep_within of "return" which aligned to text "return"
Hand-tuned score: -6.9500
Threshold: -11.4590

Word similarity table built on Thu Jul 06 14:22:09 PDT 2006 using command:
java edu.stanford.nlp.rte.WordSimilarityGenerator -info /u/nlp/rte/data/byformat/align/stochastic/wcmac.pipeline.align.xml -output /u/nlp/rte/data/byformat/wordsim/stochastic/wcmac.pipeline.wordsim.html -lex.BasicWN off