Txt/Hyp term similarities

The rows are the txt words. The columns are hyp words.

Resource summary:
Acronym: AcronymLexicalResource
BasicWN: null
Country: CountryLexicalResource
Coref: CorefLexicalResource
Cyc: null
DekangLin: DekangLinLexicalResource
EditDistance: EditDistanceLexicalResource
Google: null
InfoMap: InfoMapLexicalResource
Morpho: MorphoLexicalResource
NomBank: NomBankLexicalResource
Number: NumberLexicalResource
Ordinal: OrdinalLexicalResource
Preposition: PrepositionLexicalResource
Ravichandran: RavichandranLexicalResource
LeacockChodorowWN: null
JiangConrathWN: JiangConrathWNLexicalResource
ResnikWN: null
LinWN: LinWNLexicalResource
HirstWN: null
AdaptedLeskWN: null
EdgeWN: null
StringSim: StringSimLexicalResource
WebLexicalEntailment: null
CorpusLexicalEntailment: null
WordNet: null
WNAntonymy: WNAntonymyLexicalResource
WNHypernymy: WNHypernymyLexicalResource
WNSynonymy: WNSynonymyLexicalResource



Inference ID: RTE2_10

Txt: In Nigeria, by far the most populous country in sub-Saharan Africa, over 2.7 million people are infected with HIV.

Hyp: 2.7 percent of the people infected with HIV live in Africa. (don't know)

2.7
CD
percent
NN
the
DT
people
NNS
infected
VBN
HIV
NN
live
VB
Africa
NNP
Nigeria:NNP 20.50 10.12 20.50   9.33 14.83 10.40 14.59   7.69
far:RB 18.88 12.71 20.00 13.10 17.92 15.50 20.00 15.50
the:DT 20.50 20.50   0.00 20.00 20.00 20.50 18.57 20.50
most:RBS 20.50 15.50 20.00 15.00 20.00 15.50 20.00 15.50
populous:JJ 10.63 11.83 20.00   9.14 10.44 12.50   9.27 12.50
country:NN 18.85   8.42 20.00   1.25 13.57   9.88 11.71   8.37
sub-Saharan_Africa:NN 20.50   9.74 20.50   8.63 15.50 10.38 15.50   5.00
over:RB 20.50 15.50 18.57 15.00 20.00 15.50 17.50 15.50
2.7:CD   0.50 18.42 20.50 20.50 19.71 20.50 20.50 20.50
million:CD 10.50 17.89 20.50 19.39 19.98 20.50 19.59 19.73
people:NNS 20.50   7.81 20.00   0.00 11.11   9.58 10.83   8.46
are:VBP 20.50 15.50 16.67 15.00   7.79 15.50   0.00 14.39
infected:VBN 19.71 14.83 20.00 11.11   0.00 15.50   7.30 15.50
HIV:NN 20.50 10.17 20.50   9.58 15.50   0.00 11.21 10.38
NO_WORD 10.00 10.00   1.00 10.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Features matched (wt val name just):
 1.00 -3.06 Alignment.score
 1.00  0.13 Alignment.isGood
-1.00  0.19 Alignment.isBad
-0.10  2.00 Alignment.nbWordNotAligned
 0.10  5.00 Alignment.hypSpan
 0.10  0.62 Alignment.txtSpan
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "Nigeria" modifying "infected" is dropped on aligned hypothesis word "infected"
-0.10  1.00 NullPunisher.article : the
-3.00  1.00 NullPunisher.entity : percent
-3.00  1.00 Structure.argsMismatch : args have different parents but same relations: text "sub-Saharan_Africa" <-prep_in-- "country" vs. hyp "Africa" <-prep_in-- "live", which aligned to text "are"
-2.00  1.00 Location.mismatch : Location mismatch: "Africa" is aligned to "sub-saharan_africa", but no known relationship.
Hand-tuned score (dot product of above): -10.3575
Threshold: -13.6364


Inference ID: RTE1_1637

Txt: Twenty years ago, on June 6, 1968, Sen. Robert F. Kennedy died at Good Samaritan Hospital in Los Angeles, 25 -LCB- hours after he was shot at the Ambassador Hotel by Sirhan Bishara Sirhan.

Hyp: Sirhan Bishara Sirhan killed Sen. Robert F. Kennedy (yes)

Sirhan_Bishara_Sirhan
NNP
killed
VBD
Sen.
NNP
Robert_F._Kennedy
NNP
Twenty:CD 20.50 20.50 18.50 20.50
years:NNS 10.50 13.64   6.79   8.61
ago:RB 15.50 18.97 15.00 15.50
June:NNP 10.50 15.50   7.97   9.25
6:CD 20.50 20.50 20.50 20.50
1968:CD 20.50 19.25 20.50 20.50
Sen.:NNP 10.50 15.00   0.00   9.33
Robert_F._Kennedy:NNP 10.00 15.50   9.33   0.00
died:VBD 15.50   3.80 15.00 15.50
Good_Samaritan_Hospital:NNP   9.14 15.50 10.50 10.50
Los_Angeles:NNP 10.50 15.50 10.50   9.79
25:CD 20.50 20.50 20.50 20.50
hours:NNS 10.50 12.77   7.41   9.15
he:PRP 12.50 13.82 10.82   2.50
was:VBD 15.50   5.30 15.00 15.50
shot:VBN 15.50   1.25 12.50 15.50
the:DT 20.50 20.00 20.00 20.50
Ambassador_Hotel:NNP   9.44 15.50   9.91   8.44
Sirhan_Bishara_Sirhan:NNP   0.00 15.50 10.50 10.00
NO_WORD 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -0.81 Alignment.score
 1.00  0.60 Alignment.isGood
-1.00  0.02 Alignment.isBad
-0.10  0.00 Alignment.nbWordNotAligned
 0.10  4.00 Alignment.hypSpan
 0.10  0.50 Alignment.txtSpan
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "Ambassador_Hotel" modifying "shot" is dropped on aligned hypothesis word "killed"
 1.00  1.00 Factive.inPositiveEmbedding : embedded positive text
-2.00  1.00 Structure.parentsMismatch : args have different parents, different relations: text "Robert_F._Kennedy" <-nsubj-- "died" vs. hyp "Robert_F._Kennedy" <-dobj-- "killed", which aligned to text "shot"
-3.00  1.00 Structure.parentsMismatch&Align.veryGood :
 0.50  1.00 Adjunct.dropPosCxt&Align.veryGood :
Hand-tuned score (dot product of above): -2.7912
Threshold: -13.6364


Inference ID: RTE2_271

Txt: The May 3 ferry sinking in the Meghna River that claimed the lives of at least 370 people is a reminder of the dangers inherent in this sort of travel.

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 18.57 20.00 20.00 15.00 20.00 10.00 20.00 20.00
May:MD 20.50 10.50 19.07 20.50 20.50 20.50 20.50 10.50 20.50 20.50
3:CD 10.45 20.50 12.50 20.50 18.83 20.50 20.50 20.50 20.50 20.49
ferry:NN 19.06 20.00 10.89   8.72 15.00 10.00   9.32 20.00   0.00   9.87
sinking:VBG 19.78 20.00 12.00 14.75   6.27 15.00 15.00 20.00 15.00   0.00
the:DT 20.50 10.00 18.57 20.00 20.00 15.00 20.00 10.00 20.00 20.00
Meghna_River:NNP 20.50 20.50 12.50   7.01 15.50 12.50   8.51 20.50   9.45   9.52
that:WDT 20.50 10.00 20.00 20.00 17.50 16.67 20.00 10.00 20.00 20.00
claimed:VBD 19.12 20.00 12.00 14.23   5.41 15.00 11.67 20.00 14.74 12.35
the:DT 20.50 10.00 18.57 20.00 20.00 15.00 20.00 10.00 20.00 20.00
lives:NNS 20.50 20.00 10.89   4.44 13.87 12.00   0.00 20.00   9.32   9.27
at:IN 20.50 19.32 20.00 20.00 20.00 20.00 20.00 16.67 20.00 20.00
least:JJS 12.50 20.00 10.00 11.09   6.44 15.00 10.00 20.00 10.00 12.00
370:CD   5.00 20.50 12.50 20.37 20.50 20.50 20.50 20.50 19.16 20.50
people:NNS 18.07 20.00 10.00   0.00 13.94 12.00   4.44 20.00   8.72   8.38
is:VBZ 20.50 20.00 12.00 15.00   5.86 15.00 13.57 20.00 15.00 15.00
a:DT 20.50   9.33 20.00 20.00 20.00 20.00 20.00   0.00 20.00 20.00
reminder:NN 20.50 20.00 12.00   8.44 13.69 11.23   7.32 20.00   8.66   7.65
the:DT 20.50 10.00 18.57 20.00 20.00 15.00 20.00 10.00 20.00 20.00
dangers:NNS 20.50 20.00 12.00   7.62 15.00 12.00   7.26 20.00   8.94   8.57
inherent:VBN 20.50 20.00 12.00 14.41 10.00 14.23 12.97 20.00 14.23 13.00
this:DT 20.50 10.00 20.00 20.00 20.00 14.44 18.89 10.00 20.00 20.00
sort:NN 20.50 16.67   7.00   5.99 10.00 12.00   7.94 20.00   8.89   8.64
travel:NN 19.31 20.00 12.00   6.11 15.00 11.09   7.27 20.00   7.04   8.31
NO_WORD 10.00 10.00   9.00 10.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -4.94 Alignment.score
 1.00  0.02 Alignment.isGood
-1.00  0.61 Alignment.isBad
-0.10  3.00 Alignment.nbWordNotAligned
 0.10  3.00 Alignment.hypSpan
 0.10  0.30 Alignment.txtSpan
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "Meghna_River" modifying "sinking" is dropped on aligned hypothesis word "sinking"
 0.00  1.00 NegPolarity.txtNegWord : "least": tag "JJS" is in NegPolarityMarkers list
 0.00  1.00 NegPolarity.txtNegRoot : "least": tag "JJS" is in NegPolarityMarkers list
-0.10  1.00 NullPunisher.functionWord : their
-1.00  1.00 NullPunisher.other : or
-0.10  1.00 NullPunisher.article : a
-3.00  1.00 Structure.argsMismatch : args have different parents but same relations: text "lives" <-dobj-- "claimed" vs. hyp "lives" <-dobj-- "lost", which aligned to text "least" args have different parents, different relations: text "people" <-prep_of-- "lives" vs. hyp "people" <-nsubj-- "lost", which aligned to text "least" args have different parents, different relations: text "sinking" <-partmod-- "ferry" vs. hyp "sinking" <-prep_in-- "lost", which aligned to text "least"
Hand-tuned score (dot product of above): -9.2007
Threshold: -13.6364


Inference ID: RTE2_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 18.57 20.00 20.00 15.00 20.00 10.00 20.00 20.00
Townsend_Thoresen:JJ 12.50 20.50 10.50 12.50 12.50 15.50 12.50 20.50 12.50 12.50
cross-Channel:JJ 12.50 20.00 10.00 12.00 12.00 15.00 12.00 20.00 12.00 12.00
ferry:NN 19.06 20.00 10.89   8.72 15.00 10.00   9.32 20.00   0.00   9.87
Herald_of_Free_Enterprise:NN 20.50 20.50 12.50   8.88 15.50 12.50   9.77 20.50   9.64 10.27
capsized:VBD 20.50 20.00 12.00 13.11   8.84 15.00 12.23 20.00 11.85 14.31
the:DT 20.50 10.00 18.57 20.00 20.00 15.00 20.00 10.00 20.00 20.00
Belgian:JJ 12.50 20.50 10.50 11.73 12.50 15.50 12.50 20.50 12.50 11.07
port:NN 19.64 16.67   7.00   6.72 10.00 12.00   8.16 20.00   6.25   8.28
Zeebrugge:NNP 20.50 20.50 12.50   9.83 15.50 12.50 10.50 20.50 10.50 10.50
the:DT 20.50 10.00 18.57 20.00 20.00 15.00 20.00 10.00 20.00 20.00
6th:NN 20.45 20.50 12.50   7.92 13.86 12.50   9.14 20.50   9.59   9.92
March:NNP 20.50 20.50   9.17   7.80 15.50 12.50   9.06 20.50   8.50   9.88
with:IN 20.50 20.00 20.00 20.00 20.00 20.00 18.89 18.45 20.00 20.00
the:DT 20.50 10.00 18.57 20.00 20.00 15.00 20.00 10.00 20.00 20.00
loss:NN 19.68 20.00   9.50   6.53   2.50 12.00   6.67 20.00   9.28   8.18
135:CD   4.12 20.50 12.50 19.25 19.20 20.50 20.28 20.50 18.15 20.50
lives:NNS 20.50 20.00 10.89   4.44 13.87 12.00   0.00 20.00   9.32   9.27
NO_WORD 10.00 10.00   9.00 10.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -6.65 Alignment.score
 1.00  0.00 Alignment.isGood
-1.00  0.90 Alignment.isBad
-0.10  3.00 Alignment.nbWordNotAligned
 0.10  3.00 Alignment.hypSpan
 0.10  0.30 Alignment.txtSpan
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "March" modifying "6th" is dropped on aligned hypothesis word "people"
-0.10  1.00 NullPunisher.article : a
-1.00  1.00 NullPunisher.other : or
-0.10  1.00 NullPunisher.functionWord : their
-2.00  1.00 Structure.parentsMismatch : args have different parents, different relations: text "6th" <-prep_on-- "capsized" vs. hyp "people" <-nsubj-- "lost", which aligned to text "loss"
Hand-tuned score (dot product of above): -10.2155
Threshold: -13.6364


Inference ID: danr_001

Txt: I ate cheese and bread.

Hyp: I ate bread. (yes)

I
PRP
ate
VBD
bread
NN
I:PRP   0.00 15.00 12.00
ate:VBD 15.00   0.00 12.30
cheese:NN 12.00 13.17   0.99
bread:NN 12.00 12.30   0.00
NO_WORD 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -0.33 Alignment.score
 1.00  0.70 Alignment.isGood
-1.00  0.02 Alignment.isBad
-0.10  0.00 Alignment.nbWordNotAligned
 0.10  3.00 Alignment.hypSpan
 0.10  1.00 Alignment.txtSpan
Hand-tuned score (dot product of above): 0.7602
Threshold: -13.6364


Inference ID: danr_002

Txt: I ate cheese and carp.

Hyp: I ate carp. (yes)

I
PRP
ate
VBD
carp
UH
I:PRP   0.00 15.00 17.60
ate:VBD 15.00   0.00 18.57
cheese:NN 12.00 13.17 17.76
carp:NNP 12.00 13.57   0.00
NO_WORD 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -0.67 Alignment.score
 1.00  0.63 Alignment.isGood
-1.00  0.02 Alignment.isBad
-0.10  0.00 Alignment.nbWordNotAligned
 0.10  3.00 Alignment.hypSpan
 0.10  0.67 Alignment.txtSpan
-1.00  1.00 Structure.relMismatch : text "carp" is dobj of "ate" while hyp "carp" is dep of "ate" which aligned to text "ate"
Hand-tuned score (dot product of above): -0.6909
Threshold: -13.6364


Inference ID: danr_003

Txt: I ate cheese and hummus.

Hyp: I ate hummus. (yes)

I
PRP
ate
VBD
hummus
NNS
I:PRP   0.00 15.00 12.00
ate:VBD 15.00   0.00 13.74
cheese:NN 12.00 13.17   5.77
hummus:VBZ 15.00   8.74   0.00
NO_WORD 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -0.67 Alignment.score
 1.00  0.63 Alignment.isGood
-1.00  0.02 Alignment.isBad
-0.10  0.00 Alignment.nbWordNotAligned
 0.10  3.00 Alignment.hypSpan
 0.10  0.67 Alignment.txtSpan
-1.00  1.00 Structure.relMismatch : text "hummus" is conj_and of "ate" while hyp "hummus" is dobj of "ate" which aligned to text "ate"
Hand-tuned score (dot product of above): -0.6909
Threshold: -13.6364


Inference ID: hypernymy1

Txt: The cat napped.

Hyp: The cat slept. (yes)

The
DT
cat
NN
slept
VBD
The:DT   0.00 20.00 20.00
cat:NN 20.00   0.00 11.38
napped:VBD 20.00 15.00   1.25
NO_WORD   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -0.42 Alignment.score
 1.00  0.69 Alignment.isGood
-1.00  0.02 Alignment.isBad
-0.10  0.00 Alignment.nbWordNotAligned
 0.10  3.00 Alignment.hypSpan
 0.10  1.00 Alignment.txtSpan
 1.00  1.00 Hypernym.posWiden : Widening a term (from "nap" to "sleep") preserves truth in a positive context
Hand-tuned score (dot product of above): 1.6532
Threshold: -13.6364


Inference ID: hypernymy2

Txt: I like Java.

Hyp: I like a programming language. (yes)

I
PRP
like
VBP
a
DT
programming_language
NN
I:PRP   0.00 15.00 19.03 12.00
like:VBP 15.00   0.00 20.00 13.10
Java:NNP 12.50 15.50 20.50   3.00
NO_WORD 10.00 10.00   1.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -1.00 Alignment.score
 1.00  0.55 Alignment.isGood
-1.00  0.03 Alignment.isBad
-0.10  1.00 Alignment.nbWordNotAligned
 0.10  2.00 Alignment.hypSpan
 0.10  0.75 Alignment.txtSpan
-0.10  1.00 NullPunisher.article : a
Hand-tuned score (dot product of above): -0.4045
Threshold: -13.6364


Inference ID: hypernymy3

Txt: Some elephants like mice.

Hyp: Some animals like mice. (yes)

Some
DT
animals
NNS
like
VBP
mice
NNS
Some:DT   0.00 20.00 17.50 17.50
elephants:NNS 20.00   4.49 12.27   5.77
like:VBP 17.50 13.31   0.00 10.00
mice:NNS 17.50   4.36 10.00   0.00
NO_WORD 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -1.12 Alignment.score
 1.00  0.52 Alignment.isGood
-1.00  0.03 Alignment.isBad
-0.10  0.00 Alignment.nbWordNotAligned
 0.10  4.00 Alignment.hypSpan
 0.10  1.00 Alignment.txtSpan
 1.00  1.00 Hypernym.posWiden : Widening a term (from "elephant" to "animal") preserves truth in a positive context
 1.00  1.00 Quant.contract : Valid quantifier weakening: If some X have a property, then some X have a property
Hand-tuned score (dot product of above): 1.8641
Threshold: -13.6364


Inference ID: hypernymy4

Txt: Snakes don't like people.

Hyp: Some reptiles don't like people. (yes)

Some
DT
reptiles
NNS
do
VBP
n't
RB
like
VB
people
NNS
Snakes:NNS 18.00   1.01 15.00 15.00 13.00   8.68
do:VBP 20.00 15.00   0.00 14.33   4.59 10.08
n't:RB 20.00 15.00 14.33   0.00 17.52 13.13
like:VB 17.50 13.58   4.59 17.52   0.00 11.04
people:NNS 18.00   7.14 10.08 13.13 11.04   0.00
NO_WORD 10.00 10.00   1.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -1.83 Alignment.score
 1.00  0.35 Alignment.isGood
-1.00  0.07 Alignment.isBad
-0.10  1.00 Alignment.nbWordNotAligned
 0.10  5.00 Alignment.hypSpan
 0.10  0.83 Alignment.txtSpan
-1.00  1.00 Hypernym.negWiden : Widening a term (from "snake" to "reptile") does NOT preserve truth in a negative context
 0.00  1.00 NegPolarity.hypNegWord : "like": has child with relation "neg"
 0.00  1.00 NegPolarity.txtNegWord : "like": has child with relation "neg"
 0.00  1.00 NegPolarity.hypNegRoot : "like": has child with relation "neg"
 0.00  1.00 NegPolarity.txtNegRoot : "like": has child with relation "neg"
-1.00  1.00 NullPunisher.other : Some
 0.00  1.00 NegPolarity.txtNegWord&NegPolarity.hypNegWord :
 0.00  1.00 NegPolarity.txtNegRoot&NegPolarity.hypNegRoot :
Hand-tuned score (dot product of above): -3.0701
Threshold: -13.6364


Inference ID: chris_001

Txt: A major US intelligence review has projected that Iran is about a decade away from manufacturing the key ingredient for a nuclear weapon.

Hyp: In January 2000, the Central Intelligence Agency concluded that Iran might now be able to make a nuclear weapon. (don't know)

January
NNP
2000
CD
the
DT
Central_Intelligence_Agency
NNP
concluded
VBD
that
IN
Iran
NNP
might
MD
now
RB
be
VB
able
JJ
to
TO
make
VB
a
DT
nuclear_weapon
NN
A:DT 20.50 20.50 10.00 20.50 20.00 20.00 20.50 10.00 20.00 20.00 20.00 10.00 20.00   0.00 20.00
major:JJ 10.83 11.51 20.00 12.50 11.42 20.00 12.50 18.00 12.00 12.00   8.89 20.00   8.67 20.00 11.95
US_intelligence:NNP   8.54 20.50 20.50   7.17 13.13 20.50   4.53 20.50 15.50 15.50 12.42 20.50 15.50 20.50   6.22
review:NN   9.50 19.76 20.00   9.87   9.28 20.00   9.92 20.00 15.00 15.00 12.00 20.00 15.00 20.00 10.00
has:VBZ 15.50 20.50 20.00 15.50   6.36 15.71 14.07 20.00 20.00   3.06 12.00 20.00   0.00 20.00 15.00
projected:VBN 15.50 17.45 20.00 15.50   7.78 20.00 15.50 20.00 20.00   6.90 12.00 20.00   2.50 20.00 15.00
that:IN 20.50 20.50 15.71 20.50 20.00   0.00 18.00 18.89 20.00 20.00 20.00 20.00 20.00 20.00 20.00
Iran:NNP   9.79 20.50 20.50 10.09 15.50 18.00   0.00 19.39 15.50 15.50 12.50 20.50 15.50 20.50 10.50
is:VBZ 15.50 20.50 20.00 15.50   5.55 20.00 15.50 20.00 20.00   0.00 12.00 20.00   4.07 20.00 15.00
about:RB 15.50 20.50 18.39 15.50 20.00 18.89 15.50 18.00 10.00 20.00   8.67 20.00 20.00 20.00 15.00
a:DT 20.50 20.50 10.00 20.50 20.00 20.00 20.50 10.00 20.00 20.00 20.00 10.00 20.00   0.00 20.00
decade:NN   6.76 20.50 20.00   9.66 13.00 20.00   9.72 20.00 15.00 15.00 12.00 20.00 13.00 20.00   9.85
away:RB 12.77 20.50 20.00 15.50 20.00 17.50 13.00 20.00 10.00 20.00   7.40 20.00 18.40 20.00 14.02
from:IN 20.50 20.50 20.00 20.50 20.00 10.00 18.00 20.00 18.57 20.00 20.00 17.78 20.00 18.58 20.00
manufacturing:VBG 13.50 20.50 20.00 15.50   8.56 20.00 15.50 20.00 20.00   6.53 12.00 20.00   1.25 20.00 14.63
the:DT 20.50 20.50   0.00 20.50 20.00 15.71 20.50 10.00 20.00 18.00 18.57   8.00 18.57 10.00 20.00
key:JJ 12.50 12.50 20.00 12.50 10.38 20.00 12.50 20.00 12.00 10.00   9.80 20.00 10.57 20.00 10.42
ingredient:NN   9.46 20.50 20.00   9.84 13.42 20.00   9.54 20.00 15.00 15.00 11.86 20.00 13.96 20.00   6.77
a:DT 20.50 20.50 10.00 20.50 20.00 20.00 20.50 10.00 20.00 20.00 20.00 10.00 20.00   0.00 20.00
nuclear_weapon:NN 10.50 20.32 20.00 10.50 13.95 20.00 10.50 20.00 15.00 15.00 11.91 20.00 14.40 20.00   0.00
NO_WORD 10.00 10.00   1.00 10.00 10.00   1.00 10.00 10.00   9.00   1.00   9.00 10.00 10.00   1.00 10.00

Response: yes (INCORRECT)
Justification:
Features matched (wt val name just):
 1.00 -6.36 Alignment.score
 1.00  0.01 Alignment.isGood
-1.00  0.86 Alignment.isBad
-0.10  7.00 Alignment.nbWordNotAligned
 0.10  3.00 Alignment.hypSpan
 0.10  0.27 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "now" modifying "able"
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "about" modifying "decade" is dropped on aligned hypothesis word "January"
-3.00  1.00 Date.dateHeadMismatch : January vs. decade
-0.05  1.00 NullPunisher.aux : might
-3.00  1.00 NullPunisher.entity : 2000
-1.00  1.00 NullPunisher.other : now
-0.10  1.00 NullPunisher.functionWord : to
-0.10  1.00 NullPunisher.article : the
-0.05  1.00 NullPunisher.aux : be
-0.10  1.00 NullPunisher.functionWord : that
 1.00  1.00 Quant.contract : Valid quantifier weakening: If a X have a property, then a X have a property
-2.00  1.00 RootEntailment.poorlyAlignedRoot : "concluded" aligned badly to "that"
-3.00  1.00 Structure.argsMismatch : args have different parents but same relations: text "US_intelligence" <-nsubj-- "projected vs. hyp "Central_Intelligence_Agency" <-nsubj-- "concluded", which aligned to text "that" args have different parents, different relations: text "decade" <-dep-- "away" vs. hyp "January" <-prep_in-- "concluded", which aligned to text "that" args have different parents, different relations: text "away" <-dep-- "is" vs. hyp "able" <-ccomp-- "concluded", which aligned to text "that"
 2.00  1.00 Location.match : Locations match between txt and hyp; both have lemma "Iran"
 4.00  1.00 Location.match&OK.Root.poorlyOrUnAligned :
Hand-tuned score (dot product of above): -13.4881
Threshold: -13.6364


Inference ID: chris_002

Txt: A major US intelligence review has projected that Iran is about a decade away from manufacturing the key ingredient for a nuclear weapon.

Hyp: On 10 November 2004 the Wall Street Journal reported that European officials believed Iran was five or six years away from possessing nuclear weapon. (don't know)

10
CD
November
NNP
2004
CD
the
DT
Wall_Street_Journal
NNP
reported
VBD
that
IN
European
JJ
officials
NNS
believed
VBD
Iran
NNP
was
VBD
five
CD
six
CD
years
NNS
away
RB
from
IN
possessing
VBG
nuclear_weapon
NN
A:DT 20.50 20.50 20.50 10.00 20.50 20.00 20.00 20.50 20.00 20.00 20.50 20.00 20.50 20.50 20.00 20.00 20.00 20.00 20.00
major:JJ 11.76 12.50 12.50 20.00 12.50 11.23 20.00   8.69 10.59 11.14 12.50 12.00 10.46 10.44   9.64 10.89 18.89 11.58 11.95
US:NNP 20.50   8.23 20.50 20.50 10.50 15.50 20.50 12.50   6.54 15.50   4.53 13.50 20.50 20.50   7.60 15.50 20.50 15.50 10.50
intelligence:NN 20.50   9.01 20.50 20.00 10.50 14.13 20.00 12.50   6.34 12.33   9.74 15.00 20.50 20.50   8.02 15.00 20.00 12.69   5.72
review:NN 20.50   9.07 20.20 20.00 10.50 12.14 20.00 12.50   6.96 12.14   9.92 15.00 18.50 19.54   8.35 15.00 20.00 13.52 10.00
has:VBZ 20.50 15.50 20.50 20.00 15.50   6.09 15.71 12.50 15.00   5.53 14.07   3.06 20.50 20.50 12.50 18.57 20.00   0.00 15.00
projected:VBN 17.97 12.56 19.64 20.00 15.50   5.88 20.00 10.74 14.34   7.06 15.50   6.90 18.45 19.20 13.93 20.00 20.00   8.42 15.00
that:IN 20.50 20.50 20.50 15.71 20.50 20.00   0.00 20.50 20.00 20.00 18.00 18.57 20.50 20.50 18.89 17.50 10.00 20.00 20.00
Iran:NNP 20.50   9.62 20.50 20.50 10.50 15.50 18.00 10.83   8.58 15.50   0.00 14.07 20.50 20.50   9.25 13.00 18.00 15.50 10.50
is:VBZ 20.50 15.50 20.50 20.00 15.50   5.25 20.00 12.50 15.00   4.62 15.50   0.00 20.50 18.50 15.00 20.00 20.00   7.49 15.00
about:RB 20.50 15.50 20.50 18.39 15.50 19.23 18.89 12.50 15.00 20.00 15.50 20.00 20.50 20.50 15.00   8.89 18.89 20.00 15.00
a:DT 20.50 20.50 20.50 10.00 20.50 20.00 20.00 20.50 20.00 20.00 20.50 20.00 20.50 20.50 20.00 20.00 18.58 20.00 20.00
decade:NN 19.96   6.55 20.50 20.00 10.50 13.57 20.00 12.50   7.83 11.98   9.72 15.00 17.93 19.13   5.13 14.22 20.00 13.13   9.85
away:RB 19.52 15.50 20.50 20.00 15.50 20.00 17.50 12.50 15.00 19.59 13.00 15.71 19.18 18.56 13.89   0.00 20.00 20.00 14.02
from:IN 20.50 20.50 20.50 20.00 20.50 20.00 10.00 20.50 20.00 20.00 18.00 20.00 18.00 20.50 20.00 20.00   0.00 20.00 20.00
manufacturing:VBG 20.50 15.50 20.50 20.00 14.88   7.90 20.00 12.50 14.77   8.09 15.50   6.53 20.50 20.50 14.15 20.00 20.00   8.70 14.63
the:DT 20.50 20.50 20.50   0.00 20.50 20.00 15.71 20.50 20.00 20.00 20.50 20.00 19.07 20.50 20.00 20.00 20.00 20.00 20.00
key:JJ 12.50 12.50 12.50 20.00 12.50 12.00 20.00   9.41 11.45 10.56 12.50 12.00 12.44 12.50 11.50 10.57 20.00 12.00 10.42
ingredient:NN 19.87   8.28 19.83 20.00 10.50 15.00 20.00 11.39   7.50 13.89   9.54 15.00 20.22 20.14   8.29 15.00 20.00 13.00   6.77
a:DT 20.50 20.50 20.50 10.00 20.50 20.00 20.00 20.50 20.00 20.00 20.50 20.00 20.50 20.50 20.00 20.00 18.58 20.00 20.00
nuclear_weapon:NN 20.50 10.50 20.50 20.00   9.59 15.00 20.00 10.68   7.93 11.61 10.50 15.00 20.50 20.50 10.00 14.02 20.00 12.10   0.00
NO_WORD 10.00 10.00 10.00   1.00 10.00 10.00   1.00   9.00 10.00 10.00 10.00   1.00 10.00 10.00 10.00   9.00 10.00 10.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -6.63 Alignment.score
 1.00  0.00 Alignment.isGood
-1.00  0.89 Alignment.isBad
-0.10  10.00 Alignment.nbWordNotAligned
 0.10  5.00 Alignment.hypSpan
 0.10  0.21 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "six" modifying "five"
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "nuclear_weapon" modifying "manufacturing" is dropped on aligned hypothesis word "possessing"
-2.00  1.00 Date.hypDateIns : hypothesis date insertion: 10
-0.10  1.00 NullPunisher.functionWord : that
-3.00  1.00 NullPunisher.entity : 10
-3.00  1.00 NullPunisher.entity : six
-1.00  1.00 NullPunisher.other : believed
-3.00  1.00 NullPunisher.entity : five
-3.00  1.00 NullPunisher.entity : Wall_Street_Journal
-0.05  1.00 NullPunisher.aux : was
-3.00  1.00 NullPunisher.entity : European
-0.10  1.00 NullPunisher.article : the
-3.00  1.00 NullPunisher.entity : 2004
-3.00  1.00 Structure.argsMismatch : believed (verbal compl of the root) not aligned
 2.00  1.00 Location.match : Locations match between txt and hyp; both have lemma "Iran"
Hand-tuned score (dot product of above): -30.7436
Threshold: -13.6364


Inference ID: chris_003

Txt: On 10 November 2004 the Wall Street Journal reported that European officials believed Iran was five or six years away from possessing nuclear weapon.

Hyp: Iran does not currently have nuclear weapons, and would appear to be about two years away from acquiring nuclear weapons. (don't know)

Iran
NNP
does
VBZ
not
RB
currently
RB
have
VB
nuclear_weapons
NNS
would
MD
appear
VB
to
TO
be
VB
about
RB
two
CD
years
NNS
away
RB
from
IN
acquiring
VBG
nuclear_weapons
NNS
10:CD 20.50 20.50 20.50 19.18 20.50 20.50 20.50 20.50 20.50 20.50 20.50   5.03 20.13 19.52 20.50 20.50 20.50
November:NNP   9.62 15.50 15.50 14.91 15.50 10.50 20.50 14.07 20.50 15.50 15.50 20.50   5.82 15.50 20.50 15.50 10.50
2004:CD 20.50 19.80 20.50 18.26 20.50 20.50 20.50 20.50 20.50 20.50 20.50 10.50 20.50 20.50 20.50 20.50 20.50
the:DT 20.50 18.57 20.00 20.00 18.57 20.00 10.00 20.00   8.00 18.00 18.39 17.17 20.00 20.00 20.00 20.00 20.00
Wall_Street_Journal:NNP 10.50 15.50 15.50 15.50 15.50   9.32 20.50 15.50 20.50 15.50 15.50 20.50 10.50 15.50 20.50 15.50   9.32
reported:VBD 15.50   6.80 20.00 19.41   6.09 15.00 19.23   6.80 20.00   5.25 19.23 20.50 14.23 20.00 20.00   5.93 15.00
that:IN 18.00 20.00 18.57 20.00 17.50 20.00 20.00 20.00 20.00 20.00 18.89 19.07 18.89 17.50 10.00 20.00 20.00
European:JJ 10.83 12.50 12.50 10.74 12.50 11.20 20.50   9.64 20.50 12.50 12.50 12.50 12.50 12.50 20.50 11.91 11.20
officials:NNS   8.58 14.95 15.00 13.84 15.00   7.04 20.00 13.20 20.00 15.00 15.00 20.50   7.01 15.00 20.00 13.89   7.04
believed:VBD 15.50   6.30 20.00 19.34   5.53 13.18 20.00   6.30 20.00   4.62 20.00 19.56 14.04 19.59 20.00   5.35 13.18
Iran:NNP   0.00 15.50 15.50 15.50 15.50 10.50 20.50 15.50 20.50 15.50 15.50 20.50   9.25 13.00 18.00 14.73 10.50
was:VBD 14.07   4.07 20.00 20.00   3.06 15.00 20.00   2.49 20.00   0.00 20.00 20.50 12.50 15.71 20.00   2.83 15.00
five:CD 20.50 20.50 20.50 20.50 15.50 20.50 20.50 20.50 20.50 20.50 20.50   0.98 16.85 19.18 18.00 20.50 20.50
six:CD 20.50 20.50 20.50 20.50 20.50 20.31 20.50 20.43 20.50 20.50 20.50   1.77 17.35 18.56 20.50 20.46 20.31
years:NNS   9.25 13.89 15.00 12.39 13.89 10.00 20.00 12.27 20.00 15.00 15.00 17.67   0.00 13.89 20.00 14.75 10.00
away:RB 13.00 20.00 10.00 10.00 20.00 15.00 20.00 18.00 20.00 20.00   8.89 18.54 13.89   0.00 20.00 20.00 15.00
from:IN 18.00 20.00 18.57 20.00 20.00 20.00 20.00 20.00 17.78 20.00 18.89 19.07 20.00 20.00   0.00 20.00 20.00
possessing:VBG 15.50   8.51 20.00 19.33   0.00 13.67 20.00   8.51 20.00   7.49 20.00 18.66 12.12 20.00 20.00   7.37 13.67
nuclear_weapon:NN 10.50 14.99 15.00 14.51 15.00   0.00 20.00 13.43 20.00 15.00 15.00 20.50 10.00 14.02 20.00 15.00   0.00
NO_WORD 10.00   1.00   9.00   9.00 10.00 10.00 10.00 10.00 10.00 10.00   9.00 10.00 10.00   9.00 10.00 10.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -6.39 Alignment.score
 1.00  0.01 Alignment.isGood
-1.00  0.87 Alignment.isBad
-0.10  5.00 Alignment.nbWordNotAligned
 0.10  6.00 Alignment.hypSpan
 0.10  0.29 Alignment.txtSpan
-6.00  1.00 Adjunct.diffPol : It is not okay that hypothesis and text have different polarity
 1.00  1.00 Factive.inPositiveEmbedding : embedded positive text
 0.00  1.00 NegPolarity.hypNegWord : "have": has child with relation "neg"
 0.00  1.00 NegPolarity.hypNegRoot : "have": has child with relation "neg"
-0.05  1.00 NullPunisher.aux : does
-1.00  1.00 NullPunisher.other : about
-1.00  1.00 NullPunisher.other : currently
-0.05  1.00 NullPunisher.aux : would
-1.00  1.00 NullPunisher.other : not
-3.00  1.00 Structure.argsMismatch : args have different parents but same relations: text "Iran" <-nsubj-- "years" vs. hyp "Iran" <-nsubj-- "have", which aligned to text "possessing" args have different parents, different relations: text "officials" <-nsubj-- "believed" vs. hyp "nuclear_weapons" <-dobj-- "have", which aligned to text "possessing"
 2.00  1.00 Location.match : Locations match between txt and hyp; both have lemma "Iran"
Hand-tuned score (dot product of above): -16.2252
Threshold: -13.6364


Inference ID: chris_004

Txt: Iran does not currently have nuclear weapons, and would appear to be about two years away from acquiring nuclear weapons.

Hyp: On 10 November 2004 the Wall Street Journal reported that European officials believed Iran was five or six years away from possessing nuclear weapon. (don't know)

10
CD
November
NNP
2004
CD
the
DT
Wall_Street_Journal
NNP
reported
VBD
that
IN
European
JJ
officials
NNS
believed
VBD
Iran
NNP
was
VBD
five
CD
six
CD
years
NNS
away
RB
from
IN
possessing
VBG
nuclear_weapon
NN
Iran:NNP 20.50   9.62 20.50 20.50 10.50 15.50 18.00 10.83   8.58 15.50   0.00 14.07 20.50 20.50   9.25 13.00 18.00 15.50 10.50
does:VBZ 20.50 15.50 19.80 18.57 15.50   6.80 20.00 12.50 14.95   6.30 15.50   4.00 20.50 20.50 13.89 20.00 20.00   8.51 14.99
not:RB 20.50 15.50 20.50 20.00 15.50 20.00 18.57 12.50 15.00 20.00 15.50 20.00 20.50 20.50 15.00 10.00 18.57 20.00 15.00
currently:RB 19.18 14.91 18.26 20.00 15.50 19.41 20.00 10.74 13.84 19.34 15.50 20.00 20.50 20.50 12.39 10.00 20.00 19.33 14.51
have:VB 20.50 15.50 20.50 18.57 15.50   6.09 17.50 12.50 15.00   5.53 15.50   3.06 15.50 20.50 13.89 20.00 20.00   0.00 15.00
nuclear_weapons:NNS 20.50 10.50 20.50 20.00   9.32 15.00 20.00 11.20   7.04 13.18 10.50 15.00 20.50 20.31 10.00 15.00 20.00 13.67   0.00
would:MD 20.50 20.50 20.50 10.00 20.50 19.23 20.00 20.50 20.00 20.00 20.50 20.00 20.50 20.50 20.00 20.00 20.00 20.00 20.00
appear:VB 20.50 14.07 20.50 20.00 15.50   6.80 20.00   9.64 13.20   6.30 15.50   1.25 20.50 20.43 12.27 18.00 20.00   8.51 13.43
to:TO 20.50 20.50 20.50   8.00 20.50 20.00 20.00 20.50 20.00 20.00 20.50 20.00 20.50 20.50 20.00 20.00 17.78 20.00 20.00
be:VB 20.50 15.50 20.50 18.00 15.50   5.25 20.00 12.50 15.00   4.62 15.50   0.00 20.50 20.50 15.00 20.00 20.00   7.49 15.00
about:RB 20.50 15.50 20.50 18.39 15.50 19.23 18.89 12.50 15.00 20.00 15.50 20.00 20.50 20.50 15.00   8.89 18.89 20.00 15.00
two:CD   5.03 20.50 10.50 17.17 20.50 20.50 19.07 12.50 20.50 19.56 20.50 20.50   0.98   1.77 17.67 18.54 19.07 18.66 20.50
years:NNS 20.13   5.82 20.50 20.00 10.50 14.23 18.89 12.50   7.01 14.04   9.25 12.50 16.85 17.35   0.00 13.89 20.00 12.12 10.00
away:RB 19.52 15.50 20.50 20.00 15.50 20.00 17.50 12.50 15.00 19.59 13.00 15.71 19.18 18.56 13.89   0.00 20.00 20.00 14.02
from:IN 20.50 20.50 20.50 20.00 20.50 20.00 10.00 20.50 20.00 20.00 18.00 20.00 18.00 20.50 20.00 20.00   0.00 20.00 20.00
acquiring:VBG 20.50 15.50 20.50 20.00 15.50   5.93 20.00 11.91 13.89   5.35 14.73   2.83 20.50 20.46 14.75 20.00 20.00   7.37 15.00
nuclear_weapons:NNS 20.50 10.50 20.50 20.00   9.32 15.00 20.00 11.20   7.04 13.18 10.50 15.00 20.50 20.31 10.00 15.00 20.00 13.67   0.00
NO_WORD 10.00 10.00 10.00   1.00 10.00 10.00   1.00   9.00 10.00 10.00 10.00   1.00 10.00 10.00 10.00   9.00 10.00 10.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -5.39 Alignment.score
 1.00  0.01 Alignment.isGood
-1.00  0.71 Alignment.isBad
-0.10  8.00 Alignment.nbWordNotAligned
 0.10  6.00 Alignment.hypSpan
 0.10  0.37 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "five" modifying "years"
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "currently" modifying "have" is dropped on aligned hypothesis word "possessing"
-2.00  1.00 Date.hypDateIns : hypothesis date insertion: 10
 1.00  1.00 Hypernym.posWiden : Widening a term (from "appear" to "be") preserves truth in a positive context
 0.00  1.00 NegPolarity.txtNegWord : "have": has child with relation "neg"
-3.00  1.00 NullPunisher.entity : five
-3.00  1.00 NullPunisher.entity : European
-3.00  1.00 NullPunisher.entity : 2004
-3.00  1.00 NullPunisher.entity : November
-3.00  1.00 NullPunisher.entity : 10
-0.10  1.00 NullPunisher.article : the
-3.00  1.00 NullPunisher.entity : Wall_Street_Journal
-0.10  1.00 NullPunisher.functionWord : that
-6.00  1.00 Numeric.mismatch : NUMBER mismatch: '6.0' vs '~2.0'
-2.00  1.00 Structure.parentsMismatch : args have different parents, different relations: text "be" <-xcomp-- "appear" vs. hyp "believed" <-ccomp-- "reported", which aligned to text "does"
 2.00  1.00 Location.match : Locations match between txt and hyp; both have lemma "Iran"
Hand-tuned score (dot product of above): -31.9516
Threshold: -13.6364


Inference ID: chris_005

Txt: Iranian Foreign Minister Kamal Kharazi, denied his country has "any program to produce weapons of mass destruction."

Hyp: "According to experts, the document is unequivocal proof that Iran's nuclear project is involved in weapons production". (don't know)

According
VBG
to
TO
experts
NNS
the
DT
document
NN
is
VBZ
unequivocal
JJ
proof
NN
that
IN
Iran
NNP
nuclear
JJ
project
NN
is
VBZ
involved
VBN
weapons
NNS
production
NN
Iranian:NNP 15.50 20.50   8.42 20.50   8.87 15.50 12.50 10.08 20.50   3.50 11.07   9.07 15.50 14.83   9.07   8.74
Foreign_Minister:NNP 15.00 20.00 10.00 20.00 10.00 15.00 12.00 10.00 20.00 10.50 12.00 10.00 15.00 15.00 10.00 10.00
Kamal_Kharazi:NNP 15.50 20.50 10.50 20.50 10.50 15.50 12.50 10.50 20.50 10.50 12.50 10.50 15.50 15.50 10.50 10.50
denied:VBD   8.11 20.00 14.23 20.00 11.92   6.49 10.18 11.48 20.00 15.50 11.23 14.23   6.49   5.27 14.23 15.00
his:PRP$ 15.00 20.00 12.00 20.00 12.00   9.00 15.00 12.00 18.57 12.50 15.00 12.00   9.00 15.00 12.00 12.00
country:NN 13.75 20.00   6.80 20.00   5.71 15.00 11.53   8.14 20.00   8.35 10.33   6.44 15.00 14.30   7.43   7.65
has:VBZ   5.60 20.00 15.00 20.00 15.00   3.06 12.00 15.00 15.71 14.07 12.00 15.00   3.06   6.45 15.00 15.00
any:DT 20.00 10.00 20.00 10.00 20.00 20.00 20.00 20.00 20.00 19.07 20.00 20.00 20.00 20.00 20.00 20.00
program:NN 15.00 20.00   6.37 20.00   1.25 15.00 12.00   6.53 20.00   8.88 10.21   5.25 15.00 14.33   7.06   6.71
to:TO 20.00   0.00 20.00   8.00 20.00 20.00 20.00 20.00 20.00 20.50 20.00 20.00 20.00 20.00 20.00 20.00
produce:VB   5.78 20.00 12.58 20.00 13.00   3.29 12.00 11.67 20.00 15.50   8.57   9.29   3.29   6.60 13.58   2.50
weapons_of_mass_destruction:NP 20.00 10.00 16.26 10.00 17.48 20.00 17.96 16.88 20.00 20.50 14.83 17.74 20.00 19.04 15.00 18.24
NO_WORD 10.00 10.00 10.00   1.00 10.00   1.00   9.00 10.00 10.00 10.00   9.00 10.00   1.00 10.00 10.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -6.58 Alignment.score
 1.00  0.00 Alignment.isGood
-1.00  0.89 Alignment.isBad
-0.10  7.00 Alignment.nbWordNotAligned
 0.10  3.00 Alignment.hypSpan
 0.10  0.38 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "nuclear" modifying "project"
-1.00  1.00 NullPunisher.other : nuclear
-0.05  1.00 NullPunisher.aux : is
-1.00  1.00 NullPunisher.other : experts
-1.00  1.00 NullPunisher.other : unequivocal
-0.10  1.00 NullPunisher.article : the
-0.10  1.00 NullPunisher.functionWord : that
-0.05  1.00 NullPunisher.aux : is
-2.00  1.00 RootEntailment.poorlyAlignedRoot : "proof" aligned badly to "Kamal_Kharazi"
-3.00  1.00 Structure.argsMismatch : args have different parents but same relations: text "country" <-nsubj-- "has" vs. hyp "document" <-nsubj-- "proof", which aligned to text "Kamal_Kharazi" args have different parents, different relations: text "has" <-ccomp-- "denied" vs. hyp "According" <-prep-- "proof", which aligned to text "Kamal_Kharazi"
Hand-tuned score (dot product of above): -17.1307
Threshold: -13.6364


Inference ID: chris_006

Txt: Iranian Foreign Minister Kamal Kharazi, denied his country has "any program to produce weapons of mass destruction."

Hyp: A major US intelligence review has projected that Iran is about a decade away from manufacturing the key ingredient for a nuclear weapon. (don't know)

A
DT
major
JJ
US
NNP
intelligence
NN
review
NN
has
VBZ
projected
VBN
that
IN
Iran
NNP
is
VBZ
about
RB
a
DT
decade
NN
away
RB
from
IN
manufacturing
VBG
the
DT
key
JJ
ingredient
NN
a
DT
nuclear_weapon
NN
Iranian:NNP 20.50 12.50   9.06   9.97   8.19 15.50 15.50 20.50   3.50 15.50 15.50 20.50   9.95 14.59 20.50 15.50 20.50 12.50   7.56 20.50 10.50
Foreign_Minister:NNP 20.00 12.00 10.50   9.29 10.00 15.00 15.00 20.00 10.50 15.00 15.00 20.00 10.00 15.00 20.00 15.00 20.00 12.00 10.00 20.00 10.00
Kamal_Kharazi:NNP 20.50 12.50 10.50 10.10 10.50 15.50 15.50 20.50 10.50 15.50 15.50 20.50 10.50 15.50 20.50 13.96 20.50 12.50 10.50 20.50   9.39
denied:VBD 20.00 11.57 15.50 14.82 10.00   2.50   8.00 20.00 15.50   6.49 20.00 20.00 11.67 20.00 20.00   9.03 20.00 11.36 13.75 20.00 13.57
his:PRP$ 20.00 15.00 10.50 12.00 12.00   8.33 15.00 18.57 12.50   9.00 20.00 20.00 12.00 20.00 20.00 15.00 20.00 15.00 12.00 20.00 12.00
country:NN 20.00 10.10   7.42   7.88   8.22 15.00 13.75 20.00   8.35 15.00 13.33 20.00   7.32 13.84 20.00 15.00 20.00 11.40   8.16 20.00 10.00
has:VBZ 20.00 12.00 13.50 15.00 15.00   0.00   7.55 15.71 14.07   3.06 20.00 20.00 15.00 18.57 20.00   7.23 20.00 12.00 15.00 20.00 15.00
any:DT 10.00 20.00 20.50 20.00 20.00 20.00 20.00 20.00 19.07 20.00 20.00 10.00 20.00 15.71 20.00 20.00 10.00 16.67 20.00 10.00 20.00
program:NN 20.00 12.00   7.01   6.15   6.64 15.00 12.35 20.00   8.88 15.00 15.00 20.00   7.50 14.76 17.27 15.00 20.00 12.00   7.85 20.00   9.59
to:TO 10.00 20.00 20.50 20.00 20.00 20.00 20.00 20.00 20.50 20.00 20.00 10.00 20.00 20.00 17.78 20.00   8.00 20.00 20.00 10.00 20.00
produce:VB 20.00 10.08 15.50 15.00 13.16   4.34   5.00 20.00 15.50   3.29 18.33 20.00 13.99 20.00 19.09   5.86 20.00 11.11 11.45 20.00 14.32
weapons_of_mass_destruction:NP   9.24 19.78 20.50 16.00 17.58 20.00 20.00 20.00 20.50 20.00 20.00   9.24 17.59 20.00 20.00 18.71 10.00 19.91 18.05   9.24 16.20
NO_WORD   1.00   9.00 10.00 10.00 10.00   1.00 10.00   1.00 10.00 10.00   9.00   1.00 10.00   9.00 10.00 10.00   1.00   9.00 10.00   1.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -6.78 Alignment.score
 1.00  0.00 Alignment.isGood
-1.00  0.91 Alignment.isBad
-0.10  16.00 Alignment.nbWordNotAligned
 0.10  1.00 Alignment.hypSpan
 0.10  0.10 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "nuclear_weapon" modifying "manufacturing"
 0.50  1.00 Factive.unknownPassage : Hyp aligned with txt under non-factive verb (unknown): denied
-0.10  1.00 NullPunisher.article : A
-1.00  1.00 NullPunisher.other : nuclear_weapon
-0.10  1.00 NullPunisher.article : a
-1.00  1.00 NullPunisher.other : key
-1.00  1.00 NullPunisher.other : review
-0.10  1.00 NullPunisher.article : a
-0.10  1.00 NullPunisher.functionWord : that
-0.10  1.00 NullPunisher.article : the
-3.00  1.00 NullPunisher.entity : US
-1.00  1.00 NullPunisher.other : away
-0.05  1.00 NullPunisher.aux : is
-1.00  1.00 NullPunisher.other : ingredient
-1.00  1.00 NullPunisher.other : about
-1.00  1.00 NullPunisher.other : major
-1.00  1.00 NullPunisher.other : from
-0.05  1.00 NullPunisher.aux : has
 1.00  1.00 Quant.contract : Valid quantifier weakening: If any X have a property, then a X have a property
-3.00  1.00 Structure.argsMismatch : is (verbal compl of the root) not aligned
Hand-tuned score (dot product of above): -23.2690
Threshold: -13.6364


Inference ID: chris_007

Txt: "According to experts, the document is unequivocal proof that Iran's nuclear project is involved in weapons production."

Hyp: Iran does not currently have nuclear weapons, and would appear to be about two years away from acquiring nuclear weapons. (don't know)

Iran
NNP
does
VBZ
not
RB
currently
RB
have
VB
nuclear_weapons
NNS
would
MD
appear
VB
to
TO
be
VB
about
RB
two
CD
years
NNS
away
RB
from
IN
acquiring
VBG
nuclear_weapons
NNS
According:VBG 15.50   6.36 20.00 18.89   5.60 15.00 20.00   6.36 20.00   2.50 20.00 20.50 15.00 20.00 20.00   4.44 15.00
to:TO 20.50 17.95 18.00 20.00 20.00 20.00 10.00 20.00   0.00 20.00 20.00 14.50 20.00 20.00 17.78 20.00 20.00
experts:NNS   8.56 13.05 15.00 13.75 15.00   7.77 20.00 12.69 20.00 15.00 15.00 19.60   6.98 14.58 20.00 13.83   7.77
the:DT 20.50 18.57 20.00 20.00 18.57 20.00 10.00 20.00   8.00 18.00 18.39 17.17 20.00 20.00 20.00 20.00 20.00
document:NN   8.44 13.33 15.00 12.06 15.00   8.40 19.23 12.23 20.00 15.00 14.23 20.20   5.93 15.00 20.00 13.24   8.40
is:VBZ 15.50   4.07 20.00 20.00   3.06 15.00 20.00   2.49 20.00   0.00 20.00 20.50 15.00 20.00 20.00   2.83 15.00
unequivocal:JJ 12.50   9.36 12.00 11.28 12.00 10.11 20.00 11.73 20.00 12.00 12.00 12.50 11.79 12.00 20.00 10.00 10.11
proof:RB 14.39 15.38 10.00 10.00 20.00 14.28 20.00 14.78 20.00 20.00   8.00 19.82 15.00 10.00 16.67 20.00 14.28
that:IN 18.00 20.00 18.57 20.00 17.50 20.00 20.00 20.00 20.00 20.00 18.89 19.07 18.89 17.50 10.00 20.00 20.00
Iran:NNP   0.00 15.50 15.50 15.50 15.50 10.50 20.50 15.50 20.50 15.50 15.50 20.50   9.25 13.00 18.00 14.73 10.50
nuclear:JJ 12.50 10.23 12.00 10.75 12.00   7.00 20.00   8.15 20.00 12.00 12.00 12.24 10.22 12.00 20.00 11.47   7.00
project:NN   8.90 14.09 15.00 13.75 15.00   8.84 20.00 14.23 20.00 15.00 13.33 20.50   6.64 15.00 19.09 14.07   8.84
is:VBZ 15.50   4.07 20.00 20.00   3.06 15.00 20.00   2.49 20.00   0.00 20.00 20.50 15.00 20.00 20.00   2.83 15.00
involved:VBN 15.50   7.11 20.00 19.14   1.25 12.44 19.23   7.11 20.00   5.64 20.00 18.82 14.31 19.57 20.00   6.29 12.44
weapons:NNS   9.03 14.09 15.00 15.00 15.00   0.00 20.00 14.23 20.00 15.00 13.33 20.25   6.67 15.00 20.00 14.67   0.00
production:NN   9.61 14.97 15.00 14.47 15.00   8.87 20.00 13.94 20.00 15.00 14.33 20.50   7.81 15.00 20.00 13.42   8.87
NO_WORD 10.00   1.00   9.00   9.00 10.00 10.00 10.00 10.00 10.00 10.00   9.00 10.00 10.00   9.00 10.00 10.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -6.81 Alignment.score
 1.00  0.00 Alignment.isGood
-1.00  0.91 Alignment.isBad
-0.10  8.00 Alignment.nbWordNotAligned
 0.10  3.00 Alignment.hypSpan
 0.10  0.29 Alignment.txtSpan
-6.00  1.00 Adjunct.diffPol : It is not okay that hypothesis and text have different polarity
 0.00  1.00 NegPolarity.hypNegWord : "have": has child with relation "neg"
 0.00  1.00 NegPolarity.hypNegRoot : "have": has child with relation "neg"
-0.05  1.00 NullPunisher.aux : does
-3.00  1.00 NullPunisher.entity : two
-1.00  1.00 NullPunisher.other : currently
-1.00  1.00 NullPunisher.other : from
-0.05  1.00 NullPunisher.aux : would
-1.00  1.00 NullPunisher.other : away
-1.00  1.00 NullPunisher.other : not
-1.00  1.00 NullPunisher.other : about
-3.00  1.00 Structure.argsMismatch : args have different parents but same relations: text "Iran" <-poss-- "project" vs. hyp "Iran" <-nsubj-- "have", which aligned to text "is" args have different parents, different relations: text "weapons" <-prep_in-- "involved" vs. hyp "nuclear_weapons" <-dobj-- "have", which aligned to text "is" args have different parents, different relations: text "According" <-prep-- "unequivocal" vs. hyp "appear" <-conj_and-- "have", which aligned to text "is"
 2.00  1.00 Location.match : Locations match between txt and hyp; both have lemma "Iran"
Hand-tuned score (dot product of above): -23.2900
Threshold: -13.6364


Inference ID: chris_008

Txt: Iranian Foreign Minister Kamal Kharazi, denied his country has "any program to produce weapons of mass destruction."

Hyp: In January 2000, the Central Intelligence Agency concluded that Iran might now be able to make a nuclear weapon. (don't know)

January
NNP
2000
CD
the
DT
Central_Intelligence_Agency
NNP
concluded
VBD
that
IN
Iran
NNP
might
MD
now
RB
be
VB
able
JJ
to
TO
make
VB
a
DT
nuclear_weapon
NN
Iranian:NNP   7.64 20.50 20.50 10.24 15.50 20.50   3.50 20.50 15.50 15.50 12.50 20.50 15.50 20.50 10.50
Foreign_Minister:NNP 10.50 20.50 20.00 10.50 15.00 20.00 10.50 20.00 15.00 15.00 12.00 20.00 15.00 20.00 10.00
Kamal_Kharazi:NNP 10.50 20.50 20.50 10.25 15.50 20.50 10.50 20.50 15.50 15.50 12.50 20.50 15.50 20.50   9.39
denied:VBD 14.73 20.50 20.00 15.50   5.22 20.00 15.50 20.00 20.00   6.49 11.70 20.00   7.76 20.00 13.57
his:PRP$ 12.50 20.50 20.00 12.50 15.00 18.57 12.50 20.00 20.00 15.00 15.00 20.00 15.00 20.00 12.00
country:NN   7.64 19.76 20.00   6.50 13.75 20.00   8.35 20.00 15.00 15.00 11.05 20.00 13.96 20.00 10.00
has:VBZ 15.50 20.50 20.00 15.50   6.36 15.71 14.07 20.00 20.00   3.06 12.00 20.00   0.00 20.00 15.00
any:DT 18.50 20.50 10.00 20.50 20.00 20.00 19.07 10.00 20.00 20.00 18.57 10.00 18.57 10.00 20.00
program:NN   8.15 17.36 20.00   8.79 14.35 20.00   8.88 20.00 15.00 15.00   9.83 20.00 13.54 20.00   9.59
to:TO 20.50 20.50   8.00 20.50 20.00 20.00 20.50 10.00 18.00 20.00 20.00   0.00 20.00 10.00 20.00
produce:VB 15.50 16.91 20.00 15.50   6.51 20.00 15.50 20.00 20.00   3.29 10.09 20.00   0.00 20.00 14.32
weapons_of_mass_destruction:NP 20.50 20.50 10.00 19.76 16.42 20.00 20.50 10.00 20.00 20.00 20.00 10.00 20.00   9.24 16.20
NO_WORD 10.00 10.00   1.00 10.00 10.00   1.00 10.00 10.00   9.00   1.00   9.00 10.00 10.00   1.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -6.08 Alignment.score
 1.00  0.01 Alignment.isGood
-1.00  0.83 Alignment.isBad
-0.10  8.00 Alignment.nbWordNotAligned
 0.10  4.00 Alignment.hypSpan
 0.10  0.20 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "now" modifying "able"
-3.00  1.00 Date.dateHeadMismatch : January vs. country
-3.00  1.00 NullPunisher.entity : Central_Intelligence_Agency
-1.00  1.00 NullPunisher.other : nuclear_weapon
-3.00  1.00 NullPunisher.entity : 2000
-0.05  1.00 NullPunisher.aux : might
-0.10  1.00 NullPunisher.article : a
-1.00  1.00 NullPunisher.other : now
-0.10  1.00 NullPunisher.article : the
-0.10  1.00 NullPunisher.functionWord : that
-2.00  1.00 Structure.parentsMismatch : args have different parents, different relations: text "country" <-nsubj-- "has" vs. hyp "January" <-prep_in-- "concluded", which aligned to text "denied" args have different parents, different relations: text "program" <-dobj-- "has" vs. hyp "able" <-ccomp-- "concluded", which aligned to text "denied"
Hand-tuned score (dot product of above): -21.6354
Threshold: -13.6364


Inference ID: chris_009

Txt: In January 2000, the Central Intelligence Agency concluded that Iran might now be able to make a nuclear weapon.

Hyp: A major US intelligence review has projected that Iran is about a decade away from manufacturing the key ingredient for a nuclear weapon. (don't know)

A
DT
major
JJ
US_intelligence
NNP
review
NN
has
VBZ
projected
VBN
that
IN
Iran
NNP
is
VBZ
about
RB
a
DT
decade
NN
away
RB
from
IN
manufacturing
VBG
the
DT
key
JJ
ingredient
NN
a
DT
nuclear_weapon
NN
January:NNP 20.50 10.83   8.54   9.50 15.50 15.50 20.50   9.79 15.50 15.50 20.50   6.76 12.77 20.50 13.50 20.50 12.50   9.46 20.50 10.50
2000:CD 20.50 11.51 20.50 19.76 20.50 17.45 20.50 20.50 20.50 20.50 20.50 20.50 20.50 20.50 20.50 20.50 12.50 20.50 20.50 20.32
the:DT 10.00 20.00 20.50 20.00 20.00 20.00 15.71 20.50 20.00 18.39 10.00 20.00 20.00 20.00 20.00   0.00 20.00 20.00 10.00 20.00
Central_Intelligence_Agency:NNP 20.50 12.50   7.17   9.87 15.50 15.50 20.50 10.09 15.50 15.50 20.50   9.66 15.50 20.50 15.50 20.50 12.50   9.84 20.50 10.50
concluded:VBD 20.00 11.42 13.13   9.28   6.36   7.78 20.00 15.50   5.55 20.00 20.00 13.00 20.00 20.00   8.56 20.00 10.38 13.42 20.00 13.95
that:IN 20.00 20.00 20.50 20.00 15.71 20.00   0.00 18.00 20.00 18.89 20.00 20.00 17.50 10.00 20.00 15.71 20.00 20.00 20.00 20.00
Iran:NNP 20.50 12.50   4.53   9.92 14.07 15.50 18.00   0.00 15.50 15.50 20.50   9.72 13.00 18.00 15.50 20.50 12.50   9.54 20.50 10.50
might:MD 10.00 18.00 20.50 20.00 20.00 20.00 18.89 19.39 20.00 18.00 10.00 20.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00 20.00
now:RB 20.00 12.00 15.50 15.00 20.00 20.00 20.00 15.50 20.00 10.00 20.00 15.00 10.00 18.57 20.00 20.00 12.00 15.00 20.00 15.00
be:VB 20.00 12.00 15.50 15.00   3.06   6.90 20.00 15.50   0.00 20.00 20.00 15.00 20.00 20.00   6.53 18.00 10.00 15.00 20.00 15.00
able:JJ 20.00   8.89 12.42 12.00 12.00 12.00 20.00 12.50 12.00   8.67 20.00 12.00   7.40 20.00 12.00 18.57   9.80 11.86 20.00 11.91
to:TO 10.00 20.00 20.50 20.00 20.00 20.00 20.00 20.50 20.00 20.00 10.00 20.00 20.00 17.78 20.00   8.00 20.00 20.00 10.00 20.00
make:VB 20.00   8.67 15.50 15.00   0.00   8.07 20.00 15.50   1.00 20.00 20.00 13.00 18.40 20.00   7.79 18.57 10.57 13.96 20.00 14.40
a:DT   0.00 20.00 20.50 20.00 20.00 20.00 20.00 20.50 20.00 20.00   0.00 20.00 20.00 18.58 20.00 10.00 20.00 20.00   0.00 20.00
nuclear_weapon:NN 20.00 11.95   6.22 10.00 15.00 15.00 20.00 10.50 15.00 15.00 20.00   9.85 14.02 20.00 14.63 20.00 10.42   6.77 20.00   0.00
NO_WORD   1.00   9.00 10.00 10.00   1.00 10.00   1.00 10.00 10.00   9.00   1.00 10.00   9.00 10.00 10.00   1.00   9.00 10.00   1.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -6.05 Alignment.score
 1.00  0.01 Alignment.isGood
-1.00  0.82 Alignment.isBad
-0.10  13.00 Alignment.nbWordNotAligned
 0.10  2.00 Alignment.hypSpan
 0.10  0.20 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "nuclear_weapon" modifying "manufacturing"
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "now" modifying "able" is dropped on aligned hypothesis word "away"
-1.00  1.00 NullPunisher.other : manufacturing
-1.00  1.00 NullPunisher.other : major
-1.00  1.00 NullPunisher.other : from
-0.05  1.00 NullPunisher.aux : has
-1.00  1.00 NullPunisher.other : about
-0.10  1.00 NullPunisher.functionWord : that
-0.10  1.00 NullPunisher.article : A
-1.00  1.00 NullPunisher.other : review
-1.00  1.00 NullPunisher.other : nuclear_weapon
-0.10  1.00 NullPunisher.article : a
-1.00  1.00 NullPunisher.other : key
-0.10  1.00 NullPunisher.article : a
-0.10  1.00 NullPunisher.article : the
 1.00  1.00 Quant.contract : Valid quantifier weakening: If a X have a property, then the X have a property
-2.00  1.00 Structure.parentsMismatch : args have different parents, different relations: text "make" <-xcomp-- "able" vs. hyp "is" <-ccomp-- "projected", which aligned to text "be"
 2.00  1.00 Location.match : Locations match between txt and hyp; both have lemma "Iran"
Hand-tuned score (dot product of above): -14.9973
Threshold: -13.6364


Inference ID: chris_010

Txt: Iran does not currently have nuclear weapons, and would appear to be about two years away from acquiring nuclear weapons.

Hyp: The Jerusalem post reported the Israeli government estimated that Iran would be able to build an atomic bomb as soon as the year 2008. (don't know)

The
DT
Jerusalem
NNP
post
NN
reported
VBD
the
DT
Israeli
JJ
government
NN
estimated
VBD
that
IN
Iran
NNP
would
MD
be
VB
able
JJ
to
TO
build
VB
an
DT
atomic_bomb
NN
as
RB
soon
RB
as
IN
the
DT
year
NN
2008
CD
Iran:NNP 20.50   7.50   7.97 15.50 20.50   9.77   8.86 15.50 18.00   0.00 20.50 15.50 12.50 20.50 15.50 17.17 10.50 15.50 13.00 20.50 20.50   8.00 20.50
does:VBZ 18.57 15.50 12.50   6.80 18.57 12.50 14.21   5.95 20.00 15.50 18.89   4.07 11.08 17.95   6.17 17.89 15.00 20.00 17.50 17.84 18.57 15.00 20.50
not:RB 20.00 15.50 10.71 20.00 20.00 12.50 15.00 20.00 18.57 15.50 20.00 20.00 12.00 18.00 20.00 20.00 15.00 10.00   8.57 20.00 20.00 15.00 20.50
currently:RB 20.00 14.39 14.07 19.41 20.00 10.00 13.42 16.51 20.00 15.50 20.00 20.00   9.91 20.00 19.19 20.00 15.00 10.00   9.25 20.00 20.00 14.08 18.84
have:VB 18.57 15.50 15.00   6.09 18.57 12.50 15.00   5.15 17.50 15.50 18.69   3.06   9.50 20.00   5.39 20.00 15.00 20.00 20.00 20.00 18.57 15.00 20.50
nuclear_weapons:NNS 20.00 10.50 10.00 15.00 20.00 12.50   7.83 15.00 20.00 10.50 20.00 15.00 10.97 20.00 13.29 20.00   4.53 15.00 15.00 20.00 20.00 10.00 20.50
would:MD 10.00 20.50 18.89 19.23 10.00 20.50 20.00 20.00 20.00 20.50   0.00 18.78 18.89 10.00 16.00 10.00 20.00 20.00 18.89 20.00 10.00 20.00 20.50
appear:VB 20.00 15.50 14.52   6.80 20.00 11.73 15.00   5.95 20.00 15.50 20.00   1.25 10.00 20.00   6.17 20.00 15.00 20.00 19.35 20.00 20.00 10.00 20.50
to:TO   8.00 20.50 20.00 20.00   8.00 20.50 20.00 20.00 20.00 20.50 10.00 20.00 20.00   0.00 20.00   8.20 20.00 17.32 20.00 20.00   8.00 20.00 20.50
be:VB 18.00 15.50 15.00   5.25 18.00 12.50 15.00   4.19 20.00 15.50 18.78   0.00   8.67 20.00   4.46 20.00 15.00 20.00 20.00 20.00 18.00 15.00 20.50
about:RB 20.00 15.50 11.67 19.23 18.39 12.50 15.00 20.00 18.89 15.50 18.00 20.00   8.67 20.00 20.00 18.13 15.00 10.00   8.89 20.00 18.39 15.00 20.50
two:CD 17.17 20.50 20.38 20.50 17.17 12.50 20.43 20.50 19.07 20.50 20.50 20.50 11.95 14.50 20.07 20.50 20.19 20.50 19.07 20.50 17.17 20.27 10.50
years:NNS 20.00   9.72   8.25 14.23 20.00 12.50   6.57 14.26 18.89   9.25 20.00 15.00 12.00 20.00 12.68 20.00 10.00 13.57 15.00 18.57 20.00   0.00 20.32
away:RB 20.00 15.50 13.25 20.00 20.00 12.50 13.57 20.00 17.50 13.00 20.00 20.00   7.40 20.00 18.32 20.00 12.49 10.00   7.44 20.00 20.00 12.50 20.50
from:IN 20.00 20.50 20.00 20.00 20.00 20.50 20.00 20.00 10.00 18.00 20.00 20.00 20.00 17.78 20.00 18.09 20.00 20.00 17.50 10.00 20.00 20.00 20.50
acquiring:VBG 20.00 14.39 15.00   5.93 20.00 12.50 14.47   4.96 20.00 14.73 20.00   2.83 10.24 20.00   5.21 20.00 14.00 20.00 19.30 20.00 20.00 15.00 20.50
nuclear_weapons:NNS 20.00 10.50 10.00 15.00 20.00 12.50   7.83 15.00 20.00 10.50 20.00 15.00 10.97 20.00 13.29 20.00   4.53 15.00 15.00 20.00 20.00 10.00 20.50
NO_WORD   1.00 10.00 10.00 10.00   1.00   9.00 10.00 10.00   1.00 10.00 10.00   1.00   9.00 10.00 10.00   1.00 10.00   9.00   9.00 10.00   1.00 10.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -5.72 Alignment.score
 1.00  0.01 Alignment.isGood
-1.00  0.77 Alignment.isBad
-0.10  16.00 Alignment.nbWordNotAligned
 0.10  2.00 Alignment.hypSpan
 0.10  0.09 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "soon" modifying "build"
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "two" modifying "years" is dropped on aligned hypothesis word "year"
-2.00  1.00 Date.hypDateIns : hypothesis date insertion: 2008
-1.00  1.00 Hypernym.posNarrow : Narrowing a term (from "nuclear_weapons" to "atomic_bomb") does NOT preserve truth in a positive context
-0.05  1.00 NullPunisher.aux : be
-0.10  1.00 NullPunisher.functionWord : that
-0.10  1.00 NullPunisher.article : the
-0.10  1.00 NullPunisher.article : The
-1.00  1.00 NullPunisher.other : estimated
-3.00  1.00 NullPunisher.entity : Israeli
-3.00  1.00 NullPunisher.entity : Jerusalem
-3.00  1.00 NullPunisher.entity : 2008
-0.10  1.00 NullPunisher.functionWord : as
-0.10  1.00 NullPunisher.functionWord : as
-1.00  1.00 NullPunisher.other : soon
-0.10  1.00 NullPunisher.article : an
-1.00  1.00 NullPunisher.other : able
-1.00  1.00 NullPunisher.other : post
-1.00  1.00 NullPunisher.other : reported
-0.10  1.00 NullPunisher.article : the
-2.00  1.00 RootEntailment.unalignedRoot : "reported" not aligned to anything
 2.00  1.00 Location.match : Locations match between txt and hyp; both have lemma "Iran"
 4.00  1.00 Location.match&OK.Root.poorlyOrUnAligned :
Hand-tuned score (dot product of above): -22.1227
Threshold: -13.6364


Inference ID: chris_011

Txt: In January 2000, the Central Intelligence Agency concluded that Iran might now be able to make a nuclear weapon.

Hyp: A major US intelligence review has projected that Iran is about a decade away from manufacturing the key ingredient for a nuclear weapon. (don't know)

A
DT
major
JJ
US_intelligence
NNP
review
NN
has
VBZ
projected
VBN
that
IN
Iran
NNP
is
VBZ
about
RB
a
DT
decade
NN
away
RB
from
IN
manufacturing
VBG
the
DT
key
JJ
ingredient
NN
a
DT
nuclear_weapon
NN
January:NNP 20.50 10.83   8.54   9.50 15.50 15.50 20.50   9.79 15.50 15.50 20.50   6.76 12.77 20.50 13.50 20.50 12.50   9.46 20.50 10.50
2000:CD 20.50 11.51 20.50 19.76 20.50 17.45 20.50 20.50 20.50 20.50 20.50 20.50 20.50 20.50 20.50 20.50 12.50 20.50 20.50 20.32
the:DT 10.00 20.00 20.50 20.00 20.00 20.00 15.71 20.50 20.00 18.39 10.00 20.00 20.00 20.00 20.00   0.00 20.00 20.00 10.00 20.00
Central_Intelligence_Agency:NNP 20.50 12.50   7.17   9.87 15.50 15.50 20.50 10.09 15.50 15.50 20.50   9.66 15.50 20.50 15.50 20.50 12.50   9.84 20.50 10.50
concluded:VBD 20.00 11.42 13.13   9.28   6.36   7.78 20.00 15.50   5.55 20.00 20.00 13.00 20.00 20.00   8.56 20.00 10.38 13.42 20.00 13.95
that:IN 20.00 20.00 20.50 20.00 15.71 20.00   0.00 18.00 20.00 18.89 20.00 20.00 17.50 10.00 20.00 15.71 20.00 20.00 20.00 20.00
Iran:NNP 20.50 12.50   4.53   9.92 14.07 15.50 18.00   0.00 15.50 15.50 20.50   9.72 13.00 18.00 15.50 20.50 12.50   9.54 20.50 10.50
might:MD 10.00 18.00 20.50 20.00 20.00 20.00 18.89 19.39 20.00 18.00 10.00 20.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00 20.00
now:RB 20.00 12.00 15.50 15.00 20.00 20.00 20.00 15.50 20.00 10.00 20.00 15.00 10.00 18.57 20.00 20.00 12.00 15.00 20.00 15.00
be:VB 20.00 12.00 15.50 15.00   3.06   6.90 20.00 15.50   0.00 20.00 20.00 15.00 20.00 20.00   6.53 18.00 10.00 15.00 20.00 15.00
able:JJ 20.00   8.89 12.42 12.00 12.00 12.00 20.00 12.50 12.00   8.67 20.00 12.00   7.40 20.00 12.00 18.57   9.80 11.86 20.00 11.91
to:TO 10.00 20.00 20.50 20.00 20.00 20.00 20.00 20.50 20.00 20.00 10.00 20.00 20.00 17.78 20.00   8.00 20.00 20.00 10.00 20.00
make:VB 20.00   8.67 15.50 15.00   0.00   8.07 20.00 15.50   1.00 20.00 20.00 13.00 18.40 20.00   7.79 18.57 10.57 13.96 20.00 14.40
a:DT   0.00 20.00 20.50 20.00 20.00 20.00 20.00 20.50 20.00 20.00   0.00 20.00 20.00 18.58 20.00 10.00 20.00 20.00   0.00 20.00
nuclear_weapon:NN 20.00 11.95   6.22 10.00 15.00 15.00 20.00 10.50 15.00 15.00 20.00   9.85 14.02 20.00 14.63 20.00 10.42   6.77 20.00   0.00
NO_WORD   1.00   9.00 10.00 10.00   1.00 10.00   1.00 10.00 10.00   9.00   1.00 10.00   9.00 10.00 10.00   1.00   9.00 10.00   1.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -5.96 Alignment.score
 1.00  0.01 Alignment.isGood
-1.00  0.81 Alignment.isBad
-0.10  10.00 Alignment.nbWordNotAligned
 0.10  4.00 Alignment.hypSpan
 0.10  0.35 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "key" modifying "ingredient"
 0.50  1.00 Adjunct.dropPosCxt : It is okay that text word "January" modifying "concluded" is dropped on aligned hypothesis word "projected"
-1.00  1.00 NullPunisher.other : from
-1.00  1.00 NullPunisher.other : ingredient
-1.00  1.00 NullPunisher.other : key
-1.00  1.00 NullPunisher.other : about
-0.10  1.00 NullPunisher.article : a
-1.00  1.00 NullPunisher.other : major
-3.00  1.00 NullPunisher.entity : US_intelligence
-1.00  1.00 NullPunisher.other : decade
-0.05  1.00 NullPunisher.aux : has
-0.10  1.00 NullPunisher.article : A
 1.00  1.00 Quant.contract : Valid quantifier weakening: If the X have a property, then a X have a property
 1.00  1.00 Quant.contract : Valid quantifier weakening: If a X have a property, then a X have a property
-2.00  1.00 Structure.parentsMismatch : args have different parents, different relations: text "make" <-xcomp-- "able" vs. hyp "is" <-ccomp-- "projected", which aligned to text "concluded"
 2.00  1.00 Location.match : Locations match between txt and hyp; both have lemma "Iran"
Hand-tuned score (dot product of above): -15.0768
Threshold: -13.6364


Inference ID: chris_012

Txt: In January 2000, the Central Intelligence Agency concluded that Iran might now be able to make a nuclear weapon.

Hyp: The Jerusalem post reported the Israeli government estimated that Iran would be able to build an atomic bomb as soon as the year 2008. (don't know)

The
DT
Jerusalem
NNP
post
NN
reported
VBD
the
DT
Israeli
JJ
government
NN
estimated
VBD
that
IN
Iran
NNP
would
MD
be
VB
able
JJ
to
TO
build
VB
an
DT
atomic_bomb
NN
as
RB
soon
RB
as
IN
the
DT
year
NN
2008
CD
January:NNP 20.50   8.00   9.42 15.50 20.50 12.50   8.12 15.50 20.50   9.79 20.50 15.50 12.50 20.50 15.50 20.50 10.50 15.50 15.50 20.50 20.50   5.95 20.00
2000:CD 20.50 20.50 20.50 20.50 20.50 12.50 20.50 17.50 20.50 20.50 20.50 20.50 11.56 20.50 18.45 20.50 20.50 20.50 20.50 20.50 20.50 19.61   2.50
the:DT   0.00 20.50 20.00 20.00   0.00 20.50 20.00 20.00 15.71 20.50 10.00 18.00 18.57   8.00 20.00 10.00 20.00 20.00 20.00 20.00   0.00 20.00 20.50
Central_Intelligence_Agency:NNP 20.50 10.31   9.81 15.50 20.50 12.50   7.35 15.50 20.50 10.09 20.50 15.50 12.50 20.50 15.50 20.50 10.50 15.50 15.50 20.50 20.50   8.99 20.50
concluded:VBD 20.00 14.39 14.56   6.66 20.00 12.50 13.42   5.56 20.00 15.50 18.57   5.55 12.00 20.00   7.29 20.00 13.32 20.00 18.32 20.00 20.00 14.64 20.50
that:IN 15.71 20.50 17.50 20.00 15.71 20.50 20.00 19.23   0.00 18.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00 15.71 17.50 20.50
Iran:NNP 20.50   7.50   7.97 15.50 20.50   9.77   8.86 15.50 18.00   0.00 20.50 15.50 12.50 20.50 15.50 17.17 10.50 15.50 13.00 20.50 20.50   8.00 20.50
might:MD 10.00 20.50 18.89 20.00 10.00 20.50 20.00 20.00 18.89 19.39 10.00 20.00 20.00 10.00 20.00 10.00 20.00 20.00 20.00 20.00 10.00 20.00 20.50
now:RB 20.00 15.50 13.57 20.00 20.00 12.50 15.00 20.00 20.00 15.50 20.00 20.00 12.00 18.00 20.00 20.00 15.00 10.00   8.57 20.00 20.00 15.00 20.50
be:VB 18.00 15.50 15.00   5.25 18.00 12.50 15.00   4.19 20.00 15.50 18.78   0.00   8.67 20.00   4.46 20.00 15.00 20.00 20.00 20.00 18.00 15.00 20.50
able:JJ 18.57 12.50 11.60 12.00 18.57   9.59 11.41 11.86 20.00 12.50 18.89   8.67   0.00 20.00 10.49 20.00 12.00 12.00   9.94 20.00 18.57 12.00 12.17
to:TO   8.00 20.50 20.00 20.00   8.00 20.50 20.00 20.00 20.00 20.50 10.00 20.00 20.00   0.00 20.00   8.20 20.00 17.32 20.00 20.00   8.00 20.00 20.50
make:VB 18.57 15.50 15.00   6.80 18.57 12.50 14.24   1.25 20.00 15.50 20.00   1.00   5.49 20.00   0.00 20.00 15.00 20.00 18.49 20.00 18.57 15.00 20.27
a:DT 10.00 20.50 20.00 20.00 10.00 20.50 20.00 20.00 20.00 20.50 10.00 20.00 20.00 10.00 20.00   0.50 20.00 16.67 20.00 16.67 10.00 20.00 20.50
nuclear_weapon:NN 20.00 10.07   9.44 15.00 20.00 12.50   8.51 14.84 20.00 10.50 20.00 15.00 11.91 20.00 14.95 20.00   4.66 15.00 15.00 20.00 20.00 10.00 20.50
NO_WORD   1.00 10.00 10.00 10.00   1.00   9.00 10.00 10.00   1.00 10.00 10.00   1.00   9.00 10.00 10.00   1.00 10.00   9.00   9.00 10.00   1.00 10.00 10.00

Response: dontknow (CORRECT)
Justification:
Features matched (wt val name just):
 1.00 -5.97 Alignment.score
 1.00  0.01 Alignment.isGood
-1.00  0.81 Alignment.isBad
-0.10  9.00 Alignment.nbWordNotAligned
 0.10  11.00 Alignment.hypSpan
 0.10  0.52 Alignment.txtSpan
-1.00  1.00 Adjunct.addPosCxt : It is not okay that the hypothesis added the word "soon" modifying "build"
-3.00  1.00 Date.dateHeadMismatch : 2008 vs. 2000
 1.00  1.00 Factive.inPositiveEmbedding : embedded positive text
-1.00  1.00 Hypernym.posNarrow : Narrowing a term (from "nuclear_weapon" to "atomic_bomb") does NOT preserve truth in a positive context
-1.00  1.00 NullPunisher.other : post
-1.00  1.00 NullPunisher.other : soon
-3.00  1.00 NullPunisher.entity : Israeli
-0.10  1.00 NullPunisher.article : The
-0.10  1.00 NullPunisher.functionWord : as
-1.00  1.00 NullPunisher.other : year
-0.10  1.00 NullPunisher.article : the
-0.10  1.00 NullPunisher.article : the
-0.10  1.00 NullPunisher.functionWord : as
 1.00  1.00 Quant.contract : Valid quantifier weakening: If a X have a property, then a X have a property
 2.00  1.00 Location.match : Locations match between txt and hyp; both have lemma "Iran"
Hand-tuned score (dot product of above): -14.0256
Threshold: -13.6364


Hand-set weights Accuracy: 21/23 = 0.9130


Word similarity table built on Thu May 24 08:03:41 PDT 2007 using command:
java edu.stanford.nlp.rte.WordSimilarityGenerator -info /u/nlp/rte/data/byformat/align/simple/chris-rte.align.xml -output /u/nlp/rte/data/byformat/wordsim/simple/chris-rte.wordsim.html -alignmentWeights manual -saveCache