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: LCC-M-1

Txt: Odds changers, or jinglers, attempt to gain favorable odds by dumping large amounts of money on a particular horse, then canceling the bet at the last moment in order to make a second bet at better odds.

Hyp: Jinglers do get better odds . (MULTIPLE ANSWERS)

Jinglers
NNS		 do
VBP		 get
VB		 better
JJR		 odds
NNS		 .
.
Odds:NNS   9.96 11.76 15.00   8.76   0.00 20.00
changers:NNS   9.96 12.60 13.59 10.05   9.91 20.00
jinglers:NNS   0.00 14.96 14.96 11.96   9.96 20.00
attempt:VBP 14.96   6.26   6.26 12.00 13.98 18.90
to:TO 20.00 20.00 20.00 20.00 20.00 10.00
gain:VB 14.96   6.76   4.28   8.58 11.76 19.63
favorable:JJ 11.96 11.96 11.96   8.64   9.43 18.97
odds:NNS   9.96 11.76 14.78   8.76   0.00 20.00
by:IN 20.00 20.00 20.00 20.00 20.00 20.00
dumping:VBG 14.96   7.69   8.87 11.84 15.00 19.59
large:JJ 11.96   9.53 12.00   7.53   9.53 18.45
amounts:NNS   9.96 12.53 12.61   9.53   7.53 19.64
money:NN   9.96 10.67 11.81 10.28   8.03 19.71
a:DT 20.00 20.00 20.00 20.00 20.00 10.00
particular:JJ 11.96   8.55 12.00   6.03 10.03 18.15
horse:NN   9.96 14.56 13.80 10.11   9.90 19.01
,:, 20.00 19.52 19.64 18.91 20.00   5.73
then:RB 14.96 18.69 20.00 10.69 13.69 20.00
canceling:VBG 14.96   7.62   7.62   9.62 13.03 18.72
the:DT 20.00 20.00 20.00 20.00 20.00 10.00
bet:NN   9.96 12.54 13.59   9.57   7.49 20.00
the:DT 20.00 20.00 20.00 20.00 20.00 10.00
last:JJ 11.96   9.69 10.33   8.69 10.69 20.00
moment:NN   9.96 11.76 13.57   8.76   6.76 18.56
in_order:IN 20.00 20.00 20.00 20.00 20.00 20.00
to:TO 20.00 20.00 20.00 20.00 20.00 10.00
make:VB 14.96   3.00   1.00   5.94 13.74 16.97
a:DT 20.00 20.00 20.00 20.00 20.00 10.00
second:JJ 11.96 10.69 11.41   8.05 10.69 19.29
bet:NN   9.96 12.54 13.59   9.57   7.49 20.00
better:JJR 11.96   6.76   6.55   0.00   8.76 17.56
odds:NNS   9.96 11.76 14.78   8.76   0.00 20.00
.:. 20.00 18.81 17.78 17.56 20.00   0.00
NO_WORD 10.00   1.00 10.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -9.2597
Features matched: NullPunisher.aux: do; RootEntailment.poorlyAlignedRoot: "get" aligned badly to "attempt"; Structure.parentsMismatch: args have different parents, different relations: text "odds" <-prep_at-- "make" vs. hyp "odds" <-dobj-- "get", which aligned to text "attempt"
Hand-tuned score: -4.0500
Threshold: -11.4590

Inference ID: LCC-M-3

Txt: As mentioned, IBM has opted for the mouse stick in the middle of the keyboard instead of the little trackball or the little panel you diddle with your finger.

Hyp: IBM keyboards do have a mouse stick . (MULTIPLE ANSWERS)

IBM
NNP		 keyboards
NNS		 do
VBP		 have
VB		 a
DT		 mouse
NN		 stick
NN		 .
.
As:IN 20.50 20.00 20.00 20.00 20.00 20.00 20.00 20.00
mentioned:VBN 15.46 15.00   3.77   8.07 20.00 15.00 15.00 18.89
,:, 20.50 19.43 19.52 20.00 10.00 19.67 19.05   5.73
IBM:NNP   0.00 10.46 15.46 15.46 20.50 10.46 10.46 20.50
has:VBZ 15.46 14.34   7.53   0.50 20.00 14.34 14.34 20.00
opted:VBN 15.46 15.00 10.00 10.00 20.00 14.91 14.39 19.52
the:DT 20.50 20.00 20.00 20.00 10.00 20.00 20.00 10.00
mouse:NN 10.46   4.81 12.45 13.11 20.00   0.00   7.12 19.64
stick:NN 10.46   7.12 12.01   9.20 20.00   7.12   0.00 18.61
the:DT 20.50 20.00 20.00 20.00 10.00 20.00 20.00 10.00
middle:NN 10.46   9.34 13.69 14.34 20.00   9.34   6.51 19.49
the:DT 20.50 20.00 20.00 20.00 10.00 20.00 20.00 10.00
keyboard:NN 10.46   0.50 14.49 13.95 20.00   2.14   7.12 19.75
the:DT 20.50 20.00 20.00 20.00 10.00 20.00 20.00 10.00
little:JJ 12.46 10.28 10.21 12.00 20.00 11.06   9.69 17.47
trackball:NN 10.46   3.38 13.68 13.95 20.00   3.20   7.12 20.00
the:DT 20.50 20.00 20.00 20.00 10.00 20.00 20.00 10.00
little:JJ 12.46 10.28 10.21 12.00 20.00 11.06   9.69 17.47
panel:NN 10.46   6.40 12.62 12.62 20.00   3.20   3.40 20.00
you:PRP 12.50 12.00 15.00 15.00 20.00 12.00 12.00 20.00
diddle:VBP 15.46 15.00 10.00   7.80 20.00   9.63 15.00 20.00
your:PRP$ 12.50 12.00 15.00 15.00 20.00 12.00 12.00 20.00
finger:NN 10.46   8.03 13.69 12.80 20.00   6.33   5.79 19.11
.:. 20.50 20.00 18.81 20.00 10.00 19.64 18.61   0.00
NO_WORD 10.00 10.00   1.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -11.0000
Features matched: Adjunct.dropPosCxt: text adjunct "middle" of "stick" dropped on aligned hyp word "stick"; NullPunisher.aux: do; NullPunisher.article: a; Quant.contract: [the,a]; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "opted vs. hyp "." <-punct-- "have", which aligned to text "has" args have different parents, different relations: text "keyboard" <-prep_of-- "middle" vs. hyp "keyboards" <-nsubj-- "have", which aligned to text "has" args have different parents, different relations: text "stick" <-prep_for-- "opted" vs. hyp "stick" <-dobj-- "have", which aligned to text "has"
Hand-tuned score: -0.6500
Threshold: -11.4590

Inference ID: LCC-M-6

Txt: Born July 5, 1917, Catherine Wood Campbell left her native Atlanta, where she had attended Sacred Heart School and graduated from the Washington Seminary, in the 1930s.

Hyp: Catherine Wood Campbell was born in Atlanta . (Yes)

Catherine_Wood_Campbell
NNP		 was
VBD		 born
VBN		 Atlanta
NNP		 .
.
Born:VBN 19.02   9.84   0.50 14.34 20.50
July:NNP 14.96 15.50 15.50 15.00 20.50
5:CD 24.96 20.50 20.30 25.00 20.50
1917:CD 24.96 20.46 15.90 24.96 20.29
,:, 25.00 20.50 19.86 25.00   6.23
Catherine_Wood_Campbell:NNP   0.00 15.17 14.52 14.67 20.50
left:VBD 14.56   7.11   9.11 11.79 19.46
her:PRP$ 12.50 15.00 15.00 12.50 20.00
native:JJ 11.52 11.34   5.50 11.84 19.01
Atlanta:NNP 14.67 11.83 14.84   0.00 20.50
,:, 25.00 20.50 19.86 25.00   6.23
where:WRB 20.46 19.96 19.96 20.46 10.00
she:PRP 12.50 15.00 15.00 12.50 20.00
had:VBD 14.52   9.34   8.05 14.84 20.00
attended:VBN 15.46 10.00   6.58 15.50 19.97
Sacred_Heart_School:NNP 12.99 14.06 14.97 12.32 20.50
graduated:VBN 13.70   9.34   4.40 14.84 20.00
the:DT 20.50 20.00 20.00 20.50 10.00
Washington_Seminary:NNP 11.84 11.08 14.52   7.17 20.50
,:, 25.00 20.50 19.86 25.00   6.23
the:DT 20.50 20.00 20.00 20.50 10.00
1930s:NNS 14.96 15.50 11.22 15.00 20.30
.:. 20.50 20.00 20.00 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -7.5000
Features matched: Adjunct.dropPosCxt: text adjunct "native" of "Atlanta" dropped on aligned hyp word "Atlanta"; Factive.inPositiveEmbedding: embedded positive text; NullPunisher.aux: was; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "left vs. hyp "." <-punct-- "born", which aligned to text "Born" args have different parents, different relations: text "Catherine_Wood_Campbell" <-nsubj-- "left" vs. hyp "Catherine_Wood_Campbell" <-nsubjpass-- "born", which aligned to text "Born" args have different parents, different relations: text "Atlanta" <-dobj-- "left" vs. hyp "Atlanta" <-prep_in-- "born", which aligned to text "Born"
Hand-tuned score: -0.5500
Threshold: -11.4590

Inference ID: LCC-M-7

Txt: The Red Sox started wearing numbers on their backs in 1931, and first retired numbers May 29, 1984, when they honored Williams and Cronin.

Hyp: The Red Sox did wear numbers on their backs in 1984 . (MULTIPLE ANSWERS)

The
DT		 Red_Sox
NNP		 did
VBD		 wear
NN		 numbers
NNS		 their
PRP$		 backs
NNS		 1984
CD		 .
.
The:DT   0.00 20.50 20.00 20.00 20.00 20.00 20.00 20.50 10.00
Red_Sox:NNP 20.50   0.00 14.26   9.97   9.84 12.50   8.94 24.96 20.50
started:VBD 20.00 14.26   5.67 13.33 12.72 15.00   9.48 16.29 18.52
wearing:VBG 20.00 15.46   9.70   5.50 13.10 15.00 11.66 20.46 20.00
numbers:NNS 20.00   9.84 12.85   7.67   0.00 12.00   7.72 20.46 18.52
their:PRP$ 20.00 12.50 15.00 12.00 12.00   0.00 12.00 20.50 20.00
backs:NNS 20.00   8.94 12.45   5.78   7.72 12.00   0.00 20.46 19.55
1931:CD 20.50 24.96 19.65 20.46 20.46 20.50 20.39   0.03 20.50
,:, 10.50 25.00 20.30 19.45 20.42 20.50 20.25 18.61   6.23
first:RB 20.00 14.26 12.75 12.44 12.72 15.00   7.08 20.46 20.00
retired:VBD 20.00 15.46   7.45 12.61 15.00 15.00 12.45 15.60 20.00
numbers:NNS 20.00   9.84 12.85   7.67   0.00 12.00   7.72 20.46 18.52
May:NNP 20.50 14.05 14.19   9.45   9.19 12.50   8.61 19.96 20.50
29:CD 20.50 24.34 19.19 19.68 19.19 20.50 20.50   4.23 19.56
1984:CD 20.50 24.96 18.78 20.46 20.46 20.50 20.46   0.00 19.56
,:, 10.50 25.00 20.30 19.45 20.42 20.50 20.25 18.61   6.23
when:WRB 10.00 20.46 19.96 19.96 19.96 20.00 19.96 20.46 10.00
they:PRP 20.00 12.50 15.00 12.00 12.00   5.00 12.00 20.50 20.00
honored:VBZ 20.00 14.26   3.77 12.44 12.85 15.00 15.00 17.99 20.00
Williams:NNP 20.50 14.02 15.50   9.45 10.50 12.50   4.59 24.96 20.50
Cronin:NNP 20.50 14.96 15.46 10.46 10.46 12.50 10.46 24.96 20.50
.:. 10.00 20.50 17.99 19.89 18.52 20.00 19.55 19.56   0.00
NO_WORD   1.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -15.1715
Features matched: Adjunct.dropPosCxt: text adjunct "1931" of "backs" dropped on aligned hyp word "backs"; Date.matchDatesByGraph: hyp/txt matching, by graph: 1984 and children; RootEntailment.poorlyAlignedRoot: "did" aligned badly to "started"; Structure.parentsMismatch: args have different parents, different relations: text "1984" <-num-- "May" vs. hyp "1984" <-prep_in-- "did", which aligned to text "started"
Hand-tuned score: -2.5000
Threshold: -11.4590

Inference ID: LCC-M-10

Txt: Goldstein was born on Sept. 23, 1922, in Denver and died in Chicago on June 20, 1944.

Hyp: Goldstein was born in Chicago . (MULTIPLE ANSWERS)

Goldstein
NNP		 was
VBD		 born
VBN		 Chicago
NNP		 .
.
Goldstein:NNP   0.00 15.46 15.46 14.96 20.50
was:VBD 15.46   0.00   9.34 11.83 20.00
born:VBN 15.46   9.34   0.00 14.84 20.00
Sept.:NNP 14.96 15.46 15.46 14.96 20.50
23:CD 24.96 20.50 20.31 25.00 19.11
,:, 25.00 20.50 19.86 25.00   6.23
1922:CD 24.96 20.46 15.95 24.96 20.42
,:, 25.00 20.50 19.86 25.00   6.23
Denver:NNP 14.96 11.83 14.84   5.40 20.50
died:VBN 15.46   9.34   3.50 14.84 20.00
Chicago:NNP 14.96 11.83 14.84   0.00 20.50
June:NNP 14.96 15.50 15.50 15.00 20.50
20:CD 24.96 20.50 19.94 25.00 19.23
,:, 25.00 20.50 19.86 25.00   6.23
1944:CD 24.96 20.46 14.86 24.96 20.40
.:. 20.50 20.00 20.00 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Adjunct.dropPosCxt: text adjunct "Sept." of "born" dropped on aligned hyp word "born"; Structure.argsMismatch: args have different parents but same relations: text "Chicago" <-prep_in-- "died vs. hyp "Chicago" <-prep_in-- "born", which aligned to text "born"
Hand-tuned score: -1.5000
Threshold: -11.4590

Inference ID: LCC-M-13

Txt: Walden thinks Lukas-trained Grand Slam, who is 4 for 4 at Belmont and 0 for 4 elsewhere, must be respected because of that statistic.

Hyp: Walden does think Grand_Slam deserves respect . (MULTIPLE ANSWERS)

Walden
NNP		 does
VBZ		 think
VBP		 Grand_Slam
NNP		 deserves
VBZ		 respect
NN		 .
.
Walden:NNP   0.00 15.46 15.46 10.46 15.46 10.46 20.50
thinks:VBZ 15.46   4.55   0.50 15.00   5.91 11.38 19.43
Lukas-trained:NNP 14.96 15.46 15.46 10.46 15.46 10.46 20.50
Grand_Slam:NNP 14.96 14.97 15.50   0.50 15.50   8.19 20.50
,:, 20.50 19.26 19.66 20.00 20.00 19.53   5.73
who:WP 12.50 15.00 15.00 12.00 15.00 12.00 20.00
is:VBZ 15.46   9.34 10.00 14.67   8.33 15.00 20.00
4:CD 24.96 20.50 20.50 18.07 20.50 19.19 18.60
4:CD 24.96 20.50 20.50 18.07 20.50 19.19 18.60
Belmont:NNP 14.96 14.45 15.50   9.52 15.50 10.50 20.50
0:CD 24.96 20.46 20.03 20.46 20.08 20.46 20.50
4:CD 24.96 20.50 20.50 18.07 20.50 19.19 18.60
elsewhere:RB 15.46 19.96 19.96 14.96 19.96 14.96 20.00
,:, 20.50 19.26 19.66 20.00 20.00 19.53   5.73
must:MD 20.46 19.34 20.00 19.34 20.00 17.53 10.00
be:VB 15.46   9.34 10.00 14.67   8.33 15.00 20.00
respected:VBN 15.46 10.00   6.38 12.69   8.56   0.31 19.61
that:DT 20.50 20.00 20.00 20.00 20.00 20.00 10.00
statistic:NN 10.46 13.65 12.82 10.00 12.80   6.07 20.00
.:. 20.50 20.00 17.67 20.00 19.61 17.48   0.00
NO_WORD 10.00 10.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -19.7698
Features matched: Adjunct.dropPosCxt: text adjunct "statistic" of "respected" dropped on aligned hyp word "respect"; RootEntailment.poorlyAlignedRoot: "does" aligned badly to "thinks"
Hand-tuned score: -0.5000
Threshold: -11.4590

Inference ID: LCC-M-14

Txt: Lehr has become a major force on the Trojans' pitching staff, despite the fact that his pitching career at this level is still in its infancy.

Hyp: Lehr has had a short pitching career . (MULTIPLE ANSWERS)

Lehr
NNP		 has
VBZ		 had
VBN		 a
DT		 short
JJ		 pitching
NN		 career
NN		 .
.
Lehr:NNP   0.00 15.46 15.46 20.50 12.46 10.46 10.46 20.50
has:VBZ 15.46   0.00   0.50 20.00   9.52 15.00 15.00 20.00
become:VBN 15.46 10.00   7.61 20.00 12.00 15.00 15.00 20.00
a:DT 20.50 20.00 20.00   0.00 20.00 20.00 20.00 10.00
major:JJ 12.46 11.34 10.05 20.00   8.95   9.58 11.15 19.56
force:NN 10.46 12.53 10.68 20.00   9.32   7.38   7.38 19.77
the:DT 20.50 20.00 20.00 10.00 20.00 20.00 20.00 10.00
Trojans:NNPS 14.96 14.19 13.55 20.50 11.45 10.50 10.50 20.50
pitching:NN 10.46 15.00 15.00 20.00 10.35   0.00   6.90 19.74
staff:NN 10.46 13.69 13.95 20.00   9.12   8.27   9.73 20.00
,:, 20.50 20.00 20.00 10.00 20.00 20.00 20.00   5.73
the:DT 20.50 20.00 20.00 10.00 20.00 20.00 20.00 10.00
fact:NN 10.46 13.69 15.00 20.00 10.56   8.42   6.72 17.53
that:IN 20.50 20.00 20.00 20.00 20.00 20.00 20.00 20.00
his:PRP$ 12.50 15.00 15.00 20.00 15.00 12.00 12.00 20.00
pitching:NN 10.46 15.00 15.00 20.00 10.35   0.00   6.90 19.74
career:NN 10.46 15.00 15.00 20.00   9.72   6.90   0.00 18.38
this:DT 20.50 20.00 20.00 10.00 20.00 20.00 20.00 10.00
level:NN 10.46 12.53 12.61 20.00   9.12   8.67   7.95 18.05
is:VBZ 15.46   8.64   7.80 20.00   9.80 15.00 15.00 20.00
still:RB 15.46 17.53 17.62 20.00   9.12 15.00 15.00 20.00
its:PRP$ 12.50 15.00 15.00 20.00 15.00 12.00 12.00 20.00
infancy:NN 10.46 13.69 15.00 20.00 11.96 10.00   6.85 20.00
.:. 20.50 20.00 20.00 10.00 16.73 19.74 18.38   0.00
NO_WORD 10.00   1.00 10.00   1.00   9.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -17.5000
Features matched: Adjunct.addPosCxt: hyp added short[short-JJ]; Adjunct.dropPosCxt: text adjunct "level" of "career" dropped on aligned hyp word "career"; Factive.factivePassage: implicative entailed : force-NN; NullPunisher.other: short; NullPunisher.article: a; NullPunisher.aux: has; Structure.argsMismatch: args have different parents but same relations: text "Lehr" <-nsubj-- "force vs. hyp "Lehr" <-nsubj-- "had", which aligned to text "has" args have different parents but same relations: text "." <-punct-- "force vs. hyp "." <-punct-- "had", which aligned to text "has" args have different parents, different relations: text "career" <-nsubj-- "is" vs. hyp "career" <-dobj-- "had", which aligned to text "has"
Hand-tuned score: -2.6500
Threshold: -11.4590

Inference ID: LCC-M-17

Txt: Planning for Islands of Adventure was already under way in 1990 when Universal Studios opened doors to its first Orlando park, Universal Studios Florida.

Hyp: Planning for Islands of Adventure did begin after Universal Studios Florida opened . (No)

Planning
NNP		 Islands
NNP		 Adventure
NNP		 did
VBD		 begin
VB		 after
IN		 Universal_Studios_Florida
NNP		 opened
VBD		 .
.
Planning:NNP   0.00 10.50   8.22 15.00 15.00 20.00 10.46 12.82 20.00
Islands:NNP 10.50   0.00 10.00 15.50 14.45 20.50 13.56 12.61 20.50
Adventure:NNP   8.22 10.00   0.00 15.50 13.57 20.50 14.96 15.50 20.50
was:VBD 15.00 12.61 15.50 10.00   9.34 20.00 12.75   7.11 20.00
already:RB 14.96 15.46 15.46 19.96 19.96 20.00 15.46 19.96 20.00
way:NN   5.70   8.02   8.85 12.53 13.95 20.00   9.26 12.52 16.60
1990:CD 20.46 24.96 24.96 18.94 20.46 20.50 24.96 19.47 19.07
when:WRB 19.96 20.46 20.46 19.96 19.96 20.00 20.46 19.96 10.00
Universal_Studios:NNP 10.46 13.76 14.96 15.46 14.97 20.50   0.00 14.26 20.50
opened_doors:VBD 13.91 14.06 15.46   8.02   7.32 20.00 14.03   0.00 20.00
its:PRP$ 12.00 12.50 12.50 15.00 15.00 20.00 12.50 15.00 20.00
first:JJ   9.72 11.45 10.22   4.75 10.95 20.00   9.51 11.34 20.00
Orlando:NNP 10.50 11.29 15.00 15.50 14.84 20.50 13.17 12.61 20.50
park:NN 10.00   6.79 10.50 15.00 13.05 20.00   7.51 11.76 19.70
,:, 20.00 20.50 20.50 19.80 20.00 20.00 20.50 19.61   5.73
Universal_Studios_Florida:NNP 10.46 13.56 14.96 15.46 14.97 20.50   0.00 14.06 20.50
.:. 20.00 20.50 20.50 17.99 19.85 20.00 20.50 20.00   0.00
NO_WORD 10.00 10.00 10.00   1.00 10.00 10.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -22.3420
Features matched: Adjunct.dropPosCxt: text adjunct "park" of "opened_doors" dropped on aligned hyp word "opened"; NullPunisher.other: after; NullPunisher.aux: did; RootEntailment.poorlyAlignedRoot: "begin" aligned badly to "was"; Structure.relMismatch: text "opened_doors" is ccomp of "was" while hyp "opened" is advcl of "begin" which aligned to text "was"
Hand-tuned score: -2.5500
Threshold: -11.4590

Inference ID: LCC-M-19

Txt: If truth is the first casualty in war, then dignity was the first principle to keel over in the dirty little war in Washington.

Hyp: Truth is the first casualty in war . (MULTIPLE ANSWERS)

Truth
NNP		 is
VBZ		 the
DT		 first
JJ		 casualty
NN		 war
NN		 .
.
If:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00
truth:NN   0.00 14.34 20.00   8.76   8.05   6.05 18.52
is:VBZ 14.34   0.00 20.00 11.34 14.34 15.00 20.00
the:DT 20.00 20.00   0.00 20.00 20.00 20.00 10.00
first:JJ   8.76 11.34 20.00   0.00 10.95   9.44 20.00
casualty:NN   8.05 14.34 20.00 10.95   0.00   7.69 20.00
war:NN   7.44 15.00 20.00   9.44   7.69   0.00 19.45
,:, 20.00 20.00 10.00 20.00 20.00 20.00   5.73
then:RB 13.69 20.00 15.71   7.33 15.00 15.00 20.00
dignity:NN   7.44 15.00 20.00   7.13   6.00   7.43 19.05
was:VBD 14.34   0.50 20.00 11.34 14.34 15.00 20.00
the:DT 20.00 20.00   0.00 20.00 20.00 20.00 10.00
first_principle:NN   7.82 14.67 20.00   2.00   9.47   8.72 20.00
to:TO 20.00 20.00 10.00 20.00 20.00 20.00 10.00
keel_over:VB 14.34   9.67 20.00 10.20 14.47 15.00 20.00
the:DT 20.00 20.00   0.00 20.00 20.00 20.00 10.00
dirty:JJ 12.00 12.00 20.00 10.00 12.00 11.87 19.55
little:JJ 10.69 12.00 20.00   7.84 11.67 12.00 17.47
war:NN   7.44 15.00 20.00   9.44   7.69   0.00 19.45
Washington:NNP   8.55 14.84 20.50 11.45   8.55 10.50 20.50
.:. 20.00 20.00 10.00 20.00 20.00 19.45   0.00
NO_WORD 10.00   1.00   1.00   9.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.0000
Features matched: Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "first_principle vs. hyp "." <-punct-- "casualty", which aligned to text "casualty"
Hand-tuned score: -2.0000
Threshold: -11.4590

Inference ID: LCC-M-22

Txt: The mistake most beginners make is in loading too much paint on the bristles.

Hyp: People who are new to painting often load do too_much paint on the brush . (Yes)

People
NNS		 who
WP		 are
VBP		 new
JJ		 to
TO		 painting
VBG		 often
RB		 load
NN		 do
VBP		 too_much
JJ		 paint
NN		 the
DT		 brush
NN		 .
.
The:DT 20.00 20.00 20.00 20.00 10.00 20.00 20.00 20.00 20.00 20.00 20.00   0.00 20.00 10.00
mistake:NN 10.00 12.00 13.69 11.96 20.00 12.47 14.96   7.82 12.85 11.34   8.56 20.00   8.29 17.04
most:RBS 14.96 15.00 19.96 11.96 20.00 19.96   9.96 14.96 19.96 11.96 14.96 20.00 14.96 20.00
beginners:JJ 12.00 15.00 12.00   8.62 20.00 10.95 11.96 10.95 10.72   7.64 10.46 20.00 10.95 20.00
make:VBP 12.62 15.00 10.00 11.96 20.00   5.46 19.96 11.51   3.00 11.96 10.46 20.00 12.62 16.97
is:VBZ 11.70 15.00   0.50 11.96 20.00   9.34 19.96 12.34   6.07 11.96 12.34 20.00 14.34 20.00
in:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
loading:VBG 15.00 15.00   7.84 11.96 20.00   3.29 19.96   5.50   8.03   9.95 12.64 20.00 11.24 20.00
too_much:JJ 11.96 15.00 10.92   9.13 20.00 11.96 11.96   9.95 11.34   0.00 11.96 20.00 11.96 20.00
paint:NN 10.00 12.00 15.00 11.00 20.00   5.50 14.96   5.97 12.32 11.96   0.00 20.00   4.54 19.27
the:DT 20.00 20.00 20.00 20.00 10.00 20.00 20.00 20.00 20.00 20.00 20.00   0.00 20.00 10.00
bristles:NN 10.00 12.00 15.00 11.96 20.00 14.20 14.96   5.97 14.92 11.96   5.97 20.00   9.34 19.05
.:. 20.00 20.00 20.00 20.00 10.00 19.92 20.00 19.56 18.81 20.00 19.27 10.00 19.21   0.00
NO_WORD 10.00   1.00   1.00   9.00 10.00 10.00   9.00 10.00 10.00   9.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -64.2008
Features matched: Adjunct.addPosCxt: hyp added often[often-RB]; Adjunct.dropPosCxt: text adjunct "bristles" of "loading" dropped on aligned hyp word "painting"; NullPunisher.other: new; NullPunisher.article: the; NullPunisher.aux: are; NullPunisher.functionWord: who; NullPunisher.functionWord: to; NullPunisher.other: often; NullPunisher.other: People; Structure.argsMismatch: args have different parents but same relations: text "paint" <-dobj-- "loading vs. hyp "paint" <-dobj-- "do", which aligned to text "make" args have different parents, different relations: text "paint" <-dobj-- "loading" vs. hyp "brush" <-prep_on-- "do", which aligned to text "make"
Hand-tuned score: -5.8500
Threshold: -11.4590

Inference ID: LCC-M-25

Txt: In the next few decades, unless Japan somehow manages to arrest current trends, it may find that its share of global economic output has shrunk considerably.

Hyp: Will Japan 's share of global economic output decrease in the next few decades ? (MULTIPLE ANSWERS)

Will_Japan
NNP		 share
NN		 global
JJ		 economic
JJ		 output
NN		 decrease
VB		 the
DT		 next
JJ		 few
JJ		 decades
NNS		 ?
.
the:DT 20.50 20.00 20.00 20.00 20.00 20.00   0.00 20.00 20.00 20.00 10.00
next:JJ 12.46 11.96   9.96   9.96 11.96 11.96 20.00   0.00   9.96 11.96 20.00
few:JJ 11.84 10.69   9.96   9.96   7.89 10.69 20.00   9.96   0.00   9.84 20.00
decades:NNS   9.84   8.69 11.42   9.63   7.84 13.69 20.00 11.96   9.84   0.00 19.69
,:, 20.50 18.69 19.55 19.95 20.00 20.00 10.00 20.00 20.00 19.93 10.00
unless:IN 20.50 19.27 20.00 19.01 19.97 18.14 20.00 20.00 20.00 19.99 19.99
Japan:NNP   0.00   8.53 12.46 12.46   6.67 13.12 20.50 12.46 12.50 10.50 20.50
somehow:RB 15.46 14.96 11.96 11.96 14.96 19.96 20.00 11.96 11.96 14.96 20.00
manages:VBZ 15.46 13.07   8.33 10.98 15.00 10.00 20.00 11.96 12.00 13.01 19.99
to:TO 20.50 20.00 20.00 20.00 20.00 20.00 10.00 20.00 20.00 20.00 10.00
arrest:VB 15.46 13.35 11.96 11.96 13.35   7.38 20.00 11.96 12.00 14.81 20.00
current:JJ 12.46 10.78   8.15   8.21   9.69   8.89 20.00   9.96   8.13 11.25 19.17
trends:NNS   9.26   8.43   9.68   7.50   7.70 12.28 20.00 11.96 12.00   7.22 19.01
,:, 20.50 18.69 19.55 19.95 20.00 20.00 10.00 20.00 20.00 19.93 10.00
it:PRP 12.50 12.00 15.00 15.00 12.00 15.00 20.00 15.00 15.00 12.00 20.00
may:MD 19.84 18.69 19.96 19.96 17.84 18.69 10.00 19.96 17.84 17.23 10.00
find:VB 14.41 11.84 10.07 11.96 13.35   6.42 20.00 11.96 12.00 15.00 18.80
that:IN 20.50 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
its:PRP$ 12.50 12.00 15.00 15.00 12.00 15.00 20.00 15.00 15.00 12.00 20.00
share:NN   7.65   0.00 11.96 11.96   7.85 13.35 20.00 11.96 10.69   8.69 19.74
global:JJ 12.46 11.96   0.00   7.20 10.88 11.96 20.00   9.96   9.96 11.42 19.24
economic:JJ 12.46 11.96   7.20   0.00   8.39 10.47 20.00   9.96   9.96   9.63 19.78
output:NN   8.58   7.85 10.88   8.39   0.00 10.55 20.00 11.96   7.89   7.84 19.10
has:VBZ 14.26 13.69 11.96 11.96 13.69   7.53 20.00 11.96 10.69 13.69 20.00
shrunk:VBN 14.31 13.95 11.56 11.04 12.57   4.86 20.00 11.96 12.00 12.18 20.00
considerably:RB 15.46 13.88 11.96   9.50 14.36 16.48 20.00 11.96 11.96 14.42 20.00
.:. 20.50 20.00 20.00 20.00 20.00 20.00 10.00 20.00 20.00 19.39 10.00
NO_WORD 10.00 10.00   9.00   9.00 10.00 10.00   1.00   9.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -18.8584
Features matched: Adjunct.dropPosCxt: text adjunct "considerably" of "shrunk" dropped on aligned hyp word "decrease"; Factive.inPositiveEmbedding: embedded positive text; Polarity.hypNegMarker: "few": few; Polarity.txtNegMarker: "few": few; NullPunisher.other: ?; RootEntailment.poorlyAlignedRoot: "decrease" aligned badly to "shrunk"; Structure.argsMismatch: args have different parents but same relations: text "decades" <-prep_in-- "find vs. hyp "decades" <-prep_in-- "decrease", which aligned to text "shrunk" ; Polarity.txtNegMarker&PolarityhypNegMarker:
Hand-tuned score: -3.5000
Threshold: -11.4590

Inference ID: LCC-M-27

Txt: Fiscal hawks on Capitol Hill vowed Monday to vote against the embassy security measures unless they are paid for by cuts elsewhere in the administration's budget.

Hyp: Fiscal hawks on Capitol_Hill will vote against the embassy security measures . (MULTIPLE ANSWERS)

Fiscal
JJ		 hawks
NNS		 Capitol_Hill
NNP		 will
MD		 vote
VB		 the
DT		 embassy
NN		 security
NN		 measures
NNS		 .
.
Fiscal:JJ   0.00 11.96 11.96 19.96 11.96 20.00 11.96 11.96 11.96 20.00
hawks:NNS 11.96   0.00   8.95 20.00 12.80 20.00   8.03   8.03   7.80 20.00
Capitol_Hill:NNP 12.46   9.45   0.50 20.50 14.41 20.50   6.08   9.06   9.06 20.50
vowed:VBD 11.96 15.00 15.00 15.88   7.18 20.00 14.64   6.81 11.02 19.97
Monday:NNP 12.46 10.50   9.94 19.19 15.50 20.50 10.50   9.19   8.34 20.50
to:TO 20.00 20.00 20.00 10.00 20.00 10.00 20.00 20.00 20.00 10.00
vote:VB 11.96 12.80 13.91 15.97   0.00 20.00 12.81 10.47 10.47 19.96
the:DT 20.00 20.00 20.00 10.00 20.00   0.00 20.00 20.00 20.00 10.00
embassy:NN 11.96   8.03   5.58 20.00 12.81 20.00   0.00   6.79   8.03 20.00
security:NN 11.96   8.03   8.56 16.15 10.47 20.00   6.79   0.00   4.23 20.00
measures:NNS 11.96   7.80   8.56 15.97 10.47 20.00   8.03   4.23   0.00 19.34
unless:IN 20.00 19.72 20.00 20.00 18.53 20.00 19.89 18.45 17.46 18.40
they:PRP 15.00 12.00 12.00 20.00 15.00 15.71 12.00 12.00 12.00 20.00
are:VBP 11.96 15.00 15.00 18.69 10.00 20.00 15.00 13.69 12.84 20.00
paid:VBN 11.96 11.84 15.00 20.00   7.74 20.00 14.17 11.25 12.60 19.61
for:IN 20.00 20.00 20.00 20.00 20.00 17.35 20.00 20.00 20.00 20.00
cuts:NNS 11.96   7.17   8.66 16.77 12.10 20.00   8.03   6.46   5.32 20.00
elsewhere:RB 11.96 14.96 14.96 19.96 19.96 20.00 14.96 14.96 14.96 20.00
the:DT 20.00 20.00 20.00 10.00 20.00   0.00 20.00 20.00 20.00 10.00
administration:NN 11.96   8.73   8.91 18.69 10.26 20.00   7.09   7.53   7.24 19.88
budget:NN 11.96   7.78 10.00 17.47 11.99 20.00 10.00   7.18   5.20 20.00
.:. 20.00 20.00 20.00 10.00 19.96 10.00 20.00 20.00 19.34   0.00
NO_WORD   9.00 10.00 10.00 10.00 10.00   1.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -14.5000
Features matched: NullPunisher.aux: will; Structure.argsMismatch: args have different parents but same relations: text "hawks" <-nsubj-- "vowed vs. hyp "hawks" <-nsubj-- "vote", which aligned to text "vote" args have different parents but same relations: text "." <-punct-- "vowed vs. hyp "." <-punct-- "vote", which aligned to text "vote"
Hand-tuned score: -2.0500
Threshold: -11.4590

Inference ID: LCC-M-28

Txt: The FDA has no authority to regulate creatine unless it's first proved to be dangerous.

Hyp: Creatine has been proven to be dangerous . (MULTIPLE ANSWERS)

Creatine
NNP		 has
VBZ		 been
VBN		 proven
VBN		 to
TO		 be
VB		 dangerous
JJ		 .
.
The:DT 20.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00
FDA:NNP 10.50 15.50 15.50 15.50 20.50 15.50 12.46 20.50
has:VBZ 14.34   0.00   9.34 10.00 20.00   9.34 11.96 20.00
no:DT 20.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00
authority:NN   9.34 12.53 14.34 14.91 20.00 14.34   9.67 19.36
to:TO 20.00 20.00 20.00 20.00   0.00 20.00 20.00 10.00
regulate:VB 15.00 10.00 10.00   7.62 20.00 10.00   8.78 19.60
creatine:NN   0.00 14.34 12.34 15.00 20.00 12.34 11.96 20.00
unless:IN 20.00 20.00 20.00 20.00 20.00 20.00 19.09 18.40
it:PRP 12.00 15.00 15.00 15.00 20.00 15.00 15.00 20.00
's:VBZ 12.34   7.53   0.50   8.24 20.00   0.50 10.32 18.25
first:RB 14.34 17.53 19.34 20.00 20.00 19.34 11.96 20.00
proved:VBN 15.00 10.00   7.74   0.50 20.00   7.74   8.61 19.29
to:TO 20.00 20.00 20.00 20.00   0.00 20.00 20.00 10.00
be:VB 12.34   9.34   0.31   7.74 20.00   0.00 11.96 20.00
dangerous:JJ 11.96 11.96 11.96   7.79 20.00 11.96   0.00 18.39
.:. 20.00 20.00 20.00 19.41 10.00 20.00 18.39   0.00
NO_WORD 10.00   1.00   1.00 10.00 10.00 10.00   9.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -8.0000
Features matched: Adjunct.dropPosCxt: text adjunct "first" of "proved" dropped on aligned hyp word "proven"; NullPunisher.aux: has; Structure.argsMismatch: args have different parents but same relations: text "creatine" <-dobj-- "regulate vs. hyp "Creatine" <-nsubjpass-- "proven", which aligned to text "proved" args have different parents but same relations: text "." <-punct-- "has vs. hyp "." <-punct-- "proven", which aligned to text "proved"
Hand-tuned score: -1.5500
Threshold: -11.4590

Inference ID: LCC-M-30

Txt: American officials now say they believe that Muhammad was warned by someone in the Qatar government and that he was staying at the estate of Abdallah bin Khalid, a fundamentalist who has provided support for other Islamic radicals. A former American intelligence official said bin Laden also visited bin Khalid in Qatar twice in the mid-1990s.

Hyp: Muhammad staying was at the estate of Abdallah bin Khalid . (MULTIPLE ANSWERS)

Muhammad
VBN		 staying
NN		 was
VBD		 the
DT		 estate
NN		 Abdallah
NNP		 bin
NNP		 Khalid
NNP		 .
.
American:JJ 15.05 10.35 11.84 20.50 12.50 16.96 10.35 16.96 20.50
officials:NNS 13.55   8.95 14.34 20.00 10.00 10.46   8.95 10.46 19.34
now:RB 20.50 13.69 20.00 20.00 15.00 15.46 13.69 15.46 20.00
say:VBP 10.50 12.44 10.00 20.00 15.00 15.46 15.00 15.46 19.64
they:PRP 15.50 12.00 15.00 15.71 12.00 12.50 12.00 12.50 20.00
believe:VBP 10.50 14.93 10.00 20.00 14.91 15.46 15.00 15.46 17.96
that:IN 20.50 20.00 20.00 20.00 20.00 20.50 20.00 20.50 20.00
Muhammad:NNP   0.00   9.45 14.84 20.50 10.50 14.96   9.45   9.96 20.50
was:VBD   9.84 14.34   0.00 20.00 15.00 15.46 14.34 15.46 20.00
warned:VBN 10.50 13.93 10.00 20.00 15.00 15.46 14.08 15.46 20.00
someone:NN 13.55   8.95 14.34 20.00 10.00 10.46   8.95 10.46 20.00
the:DT 20.50 20.00 20.00   0.00 20.00 20.50 20.00 20.50 10.00
Qatar:NNP 18.95   9.45 11.83 20.50 10.50   9.96   9.45 14.96 20.50
government:NN 15.50   8.35 15.00 20.00   8.13 10.46   9.27 10.46 18.90
that:IN 20.50 20.00 20.00 20.00 20.00 20.50 20.00 20.50 20.00
he:PRP 15.50 12.00 15.00 18.00 12.00 12.50 12.00 12.50 20.00
was:VBD   9.84 14.34   0.00 20.00 15.00 15.46 14.34 15.46 20.00
staying:VBG   9.45   0.00   9.34 20.00 12.64 15.46 12.12 15.46 19.23
the:DT 20.50 20.00 20.00   0.00 20.00 20.50 20.00 20.50 10.00
estate:NN 15.50   7.64 15.00 20.00   0.00 10.46   8.67 10.46 19.68
Abdallah:NNP 19.96 10.46 15.46 20.50 10.46   0.00 10.46 14.96 20.50
bin:NNP 14.45   7.12 14.34 20.00   8.67 10.46   0.00 10.46 20.00
Khalid:NNP 14.96 10.46 15.46 20.50 10.46 14.96 10.46   0.00 20.50
,:, 20.50 19.08 20.00 10.00 19.56 20.50 19.31 20.50   5.73
a:DT 20.50 20.00 20.00 10.00 20.00 20.50 20.00 20.50 10.00
fundamentalist:JJ   6.69 10.95 11.34 20.00 12.00 12.46   9.84 12.46 19.84
who:WP 15.50 12.00 15.00 20.00 12.00 12.50 12.00 12.50 20.00
has:VBZ   9.84 13.69   7.52 20.00 15.00 15.46 13.69 15.46 20.00
provided:VBN 10.50 10.15 10.00 20.00 14.11 15.46 14.35 15.46 19.08
support:NN 14.45   4.02 14.34 20.00   6.96 10.46   7.12 10.46 18.74
other:JJ 12.46 11.96 11.96 20.00 11.96 12.46 11.96 12.46 20.00
Islamic:JJ 16.96 12.46 12.46 20.50 12.46 16.96 12.46 16.96 20.50
radicals:NNS 13.55   6.83 14.34 20.00 10.00 10.46   7.82 10.46 20.00
.:. 20.50 19.23 20.00 10.00 19.68 20.50 20.00 20.50   0.00
A:DT 20.50 20.00 20.00 10.00 20.00 20.50 20.00 20.50 10.00
former:JJ 12.50   9.44 12.00 20.00 12.00 12.46 12.00 12.46 20.00
American:JJ 15.05 10.35 11.84 20.50 12.50 16.96 10.35 16.96 20.50
intelligence:NN 15.50   7.85 15.00 20.00   8.13 10.46   7.85 10.46 20.00
official:NN 13.55   8.95 14.34 20.00 10.00 10.46   8.38 10.46 18.97
said:VBD 10.50 12.44 10.00 20.00 14.41 15.46 14.39 15.46 18.58
bin_Laden:NNP 13.55   8.56 14.34 20.00 10.00 10.46   0.00 10.46 20.00
also:RB 20.46 14.96 19.96 20.00 14.96 15.46 14.96 15.46 20.00
visited:VBD 10.50   8.46 10.00 20.00 13.13 15.46 12.46 15.46 19.78
bin:NNP 14.45   7.12 14.34 20.00   8.67 10.46   0.00 10.46 20.00
Khalid:NNP 14.96 10.46 15.46 20.50 10.46 14.96 10.46   0.00 20.50
Qatar:NNP 18.95   9.45 11.83 20.50 10.50   9.96   9.45 14.96 20.50
twice:RB 20.46 14.96 19.96 20.00 14.96 15.46 14.96 15.46 19.00
the:DT 20.50 20.00 20.00   0.00 20.00 20.50 20.00 20.50 10.00
mid:NN 15.46   9.21 14.96 20.00   8.73 10.46   9.96 10.46 19.73
-1990:CD 24.96 20.46 20.46 20.50 20.46 24.96 20.46 24.96 20.50
s.:NN 15.46   9.96 14.96 20.00   9.96 10.46   9.53 10.46 20.00
NO_WORD 10.00 10.00 10.00   1.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -8.0000
Features matched: Adjunct.dropPosCxt: text adjunct "fundamentalist" of "Khalid" dropped on aligned hyp word "Khalid"; Factive.unknownPassage: non factive text -- unknown: believe-VBP; Location.match: compl "estate" matches "estate" ; Structure.argsMismatch: args have different parents but same relations: text "estate" <-prep_at-- "staying vs. hyp "estate" <-prep_at-- "was", which aligned to text "was" args have different parents but same relations: text "." <-punct-- "say vs. hyp "." <-punct-- "was", which aligned to text "was" args have different parents, different relations: text "staying" <-dep-- "believe" vs. hyp "staying" <-nsubj-- "was", which aligned to text "was"
Hand-tuned score: 1.0000
Threshold: -11.4590

Inference ID: LCC-M-32

Txt: Annabelle Irwin, a retired Iowa State English professor who drew on her experience as a high school teacher in collaborating on an acclaimed series of books for young teen-agers, died Sept. 13 at a daughter's home in Des Moines, Iowa.

Hyp: Irwin did teach high_school in Iowa . (MULTIPLE ANSWERS)

Irwin
NNP		 did
VBD		 teach
VB		 high_school
NN		 Iowa
NNP		 .
.
Annabelle_Irwin:NNP   0.00 15.46 15.46 10.46 14.96 20.50
,:, 20.50 19.80 20.00 20.00 20.50   5.73
a:DT 20.50 20.00 20.00 20.00 20.50 10.00
retired:JJ 12.46   9.45 11.28 10.72 12.50 20.00
Iowa:NNP 14.96 13.35 13.55   9.26   0.00 20.50
State:NNP 10.46 15.00 12.74   7.59   2.50 20.00
English_professor:NN 10.46 13.84 13.05   8.91   7.50 20.00
who:WP 12.50 15.00 15.00 12.00 12.50 20.00
drew:VBD 15.46   9.93   8.05 14.47 13.55 20.00
her:PRP$ 12.50 15.00 15.00 12.00 12.50 20.00
experience:NN 10.46 12.69 12.01   8.91 10.50 18.08
a:DT 20.50 20.00 20.00 20.00 20.50 10.00
high_school:NN 10.46 12.72 13.81   0.00   9.26 20.00
teacher:NN 10.46 13.68   2.09   8.91   8.55 19.75
in:IN 20.50 20.00 20.00 20.00 20.50 20.00
collaborating:VBG 15.46 10.00   7.58 15.00 15.50 20.00
an:DT 20.50 20.00 20.00 20.00 20.50 10.00
acclaimed:JJ 12.46   9.85   9.74 11.34 10.35 20.00
series:NN 10.46 11.36 13.95   8.13   8.35 19.15
books:NNS 10.46 12.85 11.42   8.13   8.35 19.27
young:JJ 12.46 12.00   9.21 10.13 10.55 19.05
teen-agers:NNS 10.46 14.96 13.54   9.96 10.46 20.00
,:, 20.50 19.80 20.00 20.00 20.50   5.73
died:VBD 15.46   4.45   7.62 13.56 14.45 20.00
Sept.:NNP 14.96 15.46 15.46 10.46 14.96 20.50
13:CD 24.96 19.19 20.08 19.42 23.69 19.50
a:DT 20.50 20.00 20.00 20.00 20.50 10.00
daughter:NN 10.46 12.17 11.91   9.47   8.55 19.98
home:NN 10.46 12.45 13.87   7.59   8.02 18.44
Des_Moines:NNP 14.96 15.46 14.84 10.17   2.00 20.50
,:, 20.50 19.80 20.00 20.00 20.50   5.73
Iowa:NNP 14.96 13.35 13.55   9.26   0.00 20.50
.:. 20.50 17.99 19.90 20.00 20.50   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -11.0870
Features matched: Adjunct.dropPosCxt: text adjunct "English_professor" of "Annabelle_Irwin" dropped on aligned hyp word "Irwin"; NullPunisher.aux: did; Structure.argsMismatch: args have different parents but same relations: text "Annabelle_Irwin" <-nsubj-- "died vs. hyp "Irwin" <-nsubj-- "teach", which aligned to text "teacher" args have different parents but same relations: text "Iowa" <-prep_in-- "home vs. hyp "Iowa" <-prep_in-- "teach", which aligned to text "teacher" args have different parents but same relations: text "." <-punct-- "died vs. hyp "." <-punct-- "teach", which aligned to text "teacher" text "high_school" is nn of "teacher" while hyp "high_school" is dobj of "teach" which aligned to text "teacher"
Hand-tuned score: -1.5500
Threshold: -11.4590

Inference ID: LCC-M-33

Txt: The board frequently has engaged in public disputes and has been accused by the federal court of making decisions based on narrow agendas and meddling where it shouldn't.

Hyp: The board often does make decisions based on narrow agendas . (MULTIPLE ANSWERS)

The
DT		 board
NN		 often
RB		 does
VBZ		 make
VB		 decisions
NNS		 narrow
JJ		 agendas
NNS		 .
.
The:DT   0.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00
board:NN 20.00   0.00 14.96 10.85 15.00   8.50 11.18   7.16 18.74
frequently:RB 20.00 14.49   0.00 18.86 18.91 14.20 10.11 13.11 18.32
has:VBZ 20.00 14.34 19.96   9.34 10.00 12.53 11.34 13.69 20.00
engaged:VBN 20.00 14.85 19.96 10.00   6.84 12.84 11.70 11.82 18.98
public:JJ 20.00   9.20 11.96   9.81 12.00 11.03 10.00 10.27 18.82
disputes:NNS 20.00   8.93 14.96 13.77 13.07   5.84   9.47   7.48 19.27
has:VBZ 20.00 14.34 19.96   9.34 10.00 12.53 11.34 13.69 20.00
been:VBN 20.00 11.70 19.96   9.34   5.46 15.00 10.33 15.00 20.00
accused:VBN 20.00 13.95 19.96   8.11 10.00 15.00 11.34 13.94 20.00
the:DT   0.00 20.00 20.00 18.65 20.00 20.00 20.00 20.00 10.00
federal_court:NN 20.00   7.81 14.96 12.81 14.03   8.84 11.67 10.00 20.00
of:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
making:VBG 20.00 15.00 19.96   9.72   0.50 12.60 12.00 13.55 17.79
decisions:NNS 20.00   8.50 14.96 13.73 11.00   0.00 10.24   6.02 18.29
narrow:JJ 20.00 11.18 11.96 10.74   9.61 10.24   0.00   9.39 18.92
agendas:NNS 20.00   7.16 14.96 15.00 11.99   6.02   9.39   0.00 18.72
meddling:VBG 20.00 15.00 19.96   8.84   8.35 12.38 12.00 13.52 20.00
where:WRB 10.00 19.96 19.96 19.96 19.96 19.96 19.96 19.96 10.00
it:PRP 20.00 12.00 20.00 15.00 15.00 12.00 15.00 12.00 20.00
should:MD 10.00 19.96 19.96 19.96 19.96 19.96 19.96 19.96 10.00
n't:RB 20.00 14.71   9.96 17.14 16.17 14.96 11.96 14.96 17.90
.:. 10.00 18.74 20.00 20.00 16.97 18.29 18.92 18.72   0.00
NO_WORD   1.00 10.00   9.00   1.00 10.00 10.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -14.5000
Features matched: Adjunct.addPosCxt: hyp added often[often-RB]; NullPunisher.other: often; NullPunisher.aux: does; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "engaged vs. hyp "." <-punct-- "make", which aligned to text "making" args have different parents, different relations: text "board" <-nsubjpass-- "engaged" vs. hyp "board" <-nsubj-- "make", which aligned to text "making"
Hand-tuned score: -4.0500
Threshold: -11.4590

Inference ID: LCC-M-35

Txt: Fabric awning prices are more varied than aluminum awning prices, according to Kevin Tatman, owner of Merit Awnings in Dayton. Merit, in business since 1979, has always sold aluminum awnings and started selling Sunbrela brand fabric awnings about eight years ago.

Hyp: Fabric are awning prices more varied than aluminum awning prices . (MULTIPLE ANSWERS)

Fabric
NN		 are
VBP		 awning
VBG		 prices
NNS		 more
RBR		 varied
VBN		 aluminum
NN		 awning
NN		 prices
NNS		 .
.
Fabric:NN   0.00 13.69 13.03   7.53 13.95 15.00   9.34   8.03   7.53 20.00
awning:NN   8.03 15.00   0.00   8.95 13.95 15.00   9.26   0.00   8.95 19.01
prices:NNS   7.53 13.69 13.95   0.00 13.05 14.35   6.14   8.95   0.00 20.00
are:VBP 13.69   0.00 10.00 13.69 20.00 10.00 15.00 15.00 13.69 20.00
more:RBR 13.95 20.00 18.95 13.05   0.00 20.00 14.34 13.95 13.05 20.00
varied:VBN 15.00 10.00 10.00 14.35 20.00   0.00 15.00 15.00 14.35 18.57
aluminum:NN   9.34 15.00 14.26   6.14 14.34 15.00   0.00   9.26   6.14 19.74
awning:VBG 13.03 10.00   0.00 13.95 18.95 10.00 14.26   0.00 13.95 19.01
prices:NNS   7.53 13.69 13.95   0.00 13.05 14.35   6.14   8.95   0.00 20.00
,:, 20.00 20.00 19.05 20.00 20.00 18.54 19.72 19.05 20.00   5.73
Kevin_Tatman:NNP 10.46 15.46 15.46 10.46 15.46 15.46 10.46 10.46 10.46 20.50
,:, 20.00 20.00 19.05 20.00 20.00 18.54 19.72 19.05 20.00   5.73
owner:NN   8.95 15.00 12.61   8.05 13.05 15.00   9.23   7.61   8.05 19.81
Merit_Awnings:NNP   9.26 14.84 10.50   8.05 14.97 15.46 10.17   5.50   8.05 20.50
Dayton:NNP   9.84 15.50 14.84   9.84 14.84 15.50   9.84   9.84   9.84 20.50
.:. 20.00 20.00 19.01 20.00 20.00 18.57 19.74 19.01 20.00   0.00
Merit:NN   7.53 13.69 15.00   5.11 15.00 15.00 10.00 10.00   5.11 20.00
,:, 20.00 20.00 19.05 20.00 20.00 18.54 19.72 19.05 20.00   5.73
business:NN 10.00 15.00 14.69   9.89 15.00 15.00   9.54   9.69   9.89 19.54
1979:CD 20.46 20.46 20.46 19.95 20.46 19.77 18.86 20.46 19.95 19.57
,:, 20.00 20.00 19.05 20.00 20.00 18.54 19.72 19.05 20.00   5.73
has:VBZ 12.53   8.69   9.34 12.53 19.34 10.00 14.34 14.34 12.53 20.00
always:RB 14.96 19.96 19.96 14.96   9.96 19.96 14.96 14.96 14.96 20.00
sold:VBN 15.00 10.00   9.39 14.30 20.00 10.00 15.00 14.39 14.30 19.42
aluminum:NN   9.34 15.00 14.26   6.14 14.34 15.00   0.00   9.26   6.14 19.74
awnings:NNS   8.03 15.00   5.84   8.95 13.95 14.43   8.38   0.50   8.95 20.00
started:VBD 12.53   7.84 10.00 11.76 20.00 10.00 15.00 15.00 11.76 18.52
selling:VBG 15.00 10.00   9.13 12.51 20.00 10.00 15.00 14.13 12.51 18.74
Sunbrela:NNP 10.46 15.46 15.46 10.46 15.46 15.46 10.46 10.46 10.46 20.50
brand:NN   8.03 13.69 13.03   7.85 13.95 12.62   7.34   8.03   7.85 19.84
fabric:NN   0.00 13.69 11.33   7.53 13.95 12.76   7.12   6.33   7.53 19.40
awnings:NNS   8.03 15.00   5.84   8.95 13.95 14.43   8.38   0.50   8.95 20.00
about:RB 14.96 19.96 19.96 14.96   9.96 19.96 14.96 14.96 14.96 20.00
eight:CD 19.19 16.96 20.50 19.19 20.50 19.34 19.99 20.50 19.19 19.29
years:NNS   8.69 12.84 15.00   8.69 15.00 15.00   9.94 10.00   8.69 19.49
ago:RB 14.96 19.96 19.96 14.96   9.96 19.96 14.96 14.96 14.96 19.68
.:. 20.00 20.00 19.01 20.00 20.00 18.57 19.74 19.01 20.00   0.00
NO_WORD 10.00   1.00 10.00 10.00   9.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -13.0000
Features matched: Adjunct.dropPosCxt: text adjunct "Fabric" of "prices" dropped on aligned hyp word "prices"; NullPunisher.aux: are; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "sold vs. hyp "." <-punct-- "awning", which aligned to text "awning" args have different parents, different relations: text "fabric" <-nn-- "awnings" vs. hyp "Fabric" <-nsubj-- "awning", which aligned to text "awning"
Hand-tuned score: -1.5500
Threshold: -11.4590

Inference ID: LCC-M-37

Txt: Increasingly, health experts and researchers are naming the nation's penchant for large portions and "supersizing" as a leading cause of obesity.

Hyp: Supersizing does cause obesity . (MULTIPLE ANSWERS)

Supersizing
NNP		 does
VBZ		 cause
VB		 obesity
RB		 .
.
Increasingly:RB 14.96 19.96 19.96   9.96 20.00
,:, 20.00 19.26 18.99 19.53   5.73
health:NN   9.96 14.33 11.23   9.80 20.00
experts:NNS   9.96 13.05   9.01 10.55 20.00
researchers:NNS   9.96 13.11   9.56   7.24 20.00
are:VBP 14.96 10.00   8.69 18.69 20.00
naming:VBG 14.96   8.25   8.35 20.00 20.00
the:DT 20.00 18.65 20.00 20.00 10.00
nation:NN   9.96 11.69 13.08 14.73 20.00
penchant:NN   9.96 14.97 13.60 15.00 20.00
large:JJ 11.96 12.00 10.64   8.95 18.45
portions:NNS   9.96 13.95 13.03 13.69 19.21
``:`` 20.00 18.67 20.00 19.54   7.32
supersizing:VBG   5.00   9.96   9.96 19.96 20.00
'':'' 20.00 17.75 20.00 19.69   6.80
a:DT 20.00 20.00 20.00 20.00 10.00
leading:JJ 11.96 10.95   9.72 10.66 19.02
cause:NN   9.96 14.13   0.00   9.40 19.62
obesity:NN   9.96 14.74   9.40   0.00 20.00
.:. 20.00 20.00 19.62 20.00   0.00
NO_WORD 10.00   1.00 10.00   9.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -12.0000
Features matched: Adjunct.dropPosCxt: text adjunct "leading" of "cause" dropped on aligned hyp word "cause"; NullPunisher.aux: does; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "naming vs. hyp "." <-punct-- "cause", which aligned to text "cause" args have different parents, different relations: text "supersizing" <-conj_and-- "naming" vs. hyp "Supersizing" <-nsubj-- "cause", which aligned to text "cause" text "obesity" is prep_of of "cause" while hyp "obesity" is advmod of "cause" which aligned to text "cause"
Hand-tuned score: -1.5500
Threshold: -11.4590

Inference ID: LCC-M-39

Txt: Dual-core chips can do the same work that a single-core chip can, only faster, while consuming less power and at a cooler temperature.

Hyp: Dual-core chips do consume more power than single-core chips . (MULTIPLE ANSWERS)

Dual-core
JJ		 chips
NNS		 do
VBP		 consume
VB		 more
JJR		 power
NN		 single-core
JJ		 chips
NNS		 .
.
Dual-core:JJ   0.00 11.96 11.96 11.96   9.96 11.96   9.96 11.96 20.00
chips:NNS 11.96   0.00 11.76 12.32 10.95   6.76 11.96   0.00 19.67
can:MD 19.96 14.76 15.67 17.32 18.95 17.85 19.96 14.76 10.00
do:VB 11.96 11.76   0.00   7.32 12.00 11.76 11.96 11.76 18.81
the:DT 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00
same:JJ   9.96 11.96 11.96 11.96   9.96 11.96   9.96 11.96 20.00
work:NN 11.96   3.79 12.32 12.32 10.95   6.04 10.92   3.79 18.57
that:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
a:DT 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00
single-core:JJ   9.96 11.96 11.96 11.96   9.96 11.61   0.00 11.96 19.29
chip:NN 11.96   0.31 11.76 12.32 10.95   6.76 11.96   0.31 20.00
can:MD 19.96 14.76 15.67 17.32 18.95 17.85 19.96 14.76 10.00
,:, 20.00 19.76 19.52 19.70 20.00 18.82 19.04 19.76   5.73
only:RB 11.96 14.96 19.96 19.96 11.96 14.96 11.96 14.96 20.00
faster:RBR 11.96 12.24 19.23 18.38 11.96 13.91 10.79 12.24 19.26
,:, 20.00 19.76 19.52 19.70 20.00 18.82 19.04 19.76   5.73
while:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
consuming:VBZ 11.96 12.32   7.32   0.50 12.00 12.02 11.96 12.32 20.00
less:JJR   9.96 11.96 11.96 11.96   6.36 11.96   9.96 11.96 20.00
power:NN 11.96   6.76 11.76 12.02 10.05   0.00 11.61   6.76 18.76
at:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
a:DT 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00
cooler:JJR   9.96   7.84 10.85 10.29   8.95 10.95   9.96   7.84 20.00
temperature:NN 11.96   7.53 12.53 11.93 12.00   6.95 11.96   7.53 20.00
.:. 20.00 19.67 18.81 20.00 20.00 18.76 19.29 19.67   0.00
NO_WORD   9.00 10.00   1.00 10.00   9.00 10.00   9.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -14.1734
Features matched: Adjunct.dropPosCxt: text adjunct "temperature" of "power" dropped on aligned hyp word "power"; Antonym.samePol: matching polarity with antonyms: more & less; NullPunisher.aux: do; Structure.argsMismatch: args have different parents but same relations: text "chips" <-nsubj-- "do vs. hyp "chips" <-nsubj-- "consume", which aligned to text "consuming" args have different parents but same relations: text "." <-punct-- "do vs. hyp "." <-punct-- "consume", which aligned to text "consuming" args have different parents, different relations: text "chip" <-nsubj-- "can" vs. hyp "chips" <-prep_than-- "consume", which aligned to text "consuming"
Hand-tuned score: -9.5500
Threshold: -11.4590

Inference ID: LCC-M-41

Txt: Duke initially planned on giving every new student a free iPod, but now only plans on giving iPods to students in certain classes.

Hyp: Duke does plan on giving every new student a free iPod . (MULTIPLE ANSWERS)

Duke
NNP		 does
VBZ		 plan
NN		 on
IN		 giving
VBG		 every
DT		 new
JJ		 student
NN		 a
DT		 free
JJ		 iPod
NN		 .
.
Duke:NNP   5.00 13.61   9.45 20.50 15.50 20.50 12.46   8.55 20.50   8.52 10.46 20.50
initially:RB 15.46 19.96 14.49 20.00 18.33 20.00 11.96 13.44 20.00 11.07 14.96 16.57
planned:VBD 14.45   8.95   0.50 20.00   9.24 20.00 10.81 13.87 20.00 11.46 14.96 19.37
on:IN 20.50 20.00 20.00   0.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
giving:VBG 15.50 10.00 13.12 20.00   0.00 20.00 11.43 14.52 20.00   8.40 14.96 17.97
every:DT 20.50 20.00 20.00 20.00 20.00   0.00 20.00 20.00 10.00 20.00 20.00 10.00
new:JJ 12.46 10.60 10.54 20.00 11.43 20.00   0.00 11.96 20.00   8.87 11.96 20.00
student:NN   8.55 13.11   8.95 20.00 14.52 20.00 11.96   0.00 20.00 11.77   9.96 19.69
a:DT 20.50 20.00 20.00 20.00 20.00 10.00 20.00 20.00   0.00 20.00 20.00 10.00
free:JJ   8.52 10.13 11.02 20.00   8.40 20.00   8.87 11.77 20.00   0.00 11.96 19.56
iPod:NN 10.46 14.96   9.96 20.00 14.96 20.00 11.96   9.96 20.00 11.96   0.00 20.00
,:, 20.50 19.26 20.00 20.00 18.43 10.00 19.57 19.35 10.00 19.84 20.00   5.73
now:RB 15.50 20.00 15.00 20.00 20.00 20.00 11.96 15.00 20.00 12.00 14.96 20.00
only:RB 15.46 19.96 14.96 20.00 19.96 20.00 11.96 14.96 20.00 11.96 14.96 20.00
plans:VBZ 14.45   7.76   0.50 20.00   8.54 20.00 11.10 13.95 20.00 10.95 14.96 20.00
on:IN 20.50 20.00 20.00   0.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
giving:VBG 15.50 10.00 13.12 20.00   0.00 20.00 11.43 14.52 20.00   8.40 14.96 17.97
iPods:NNS 10.46 14.96   9.96 20.00 14.96 20.00 11.96   9.96 20.00 11.96   1.00 20.00
students:NNS   8.55 13.11   8.95 20.00 14.69 20.00 11.96   0.50 20.00 11.85   9.96 20.00
certain:JJ 12.46 10.39 10.83 20.00   8.63 20.00   8.56 11.96 20.00   9.00 11.96 16.90
classes:NNS   5.89 12.59   7.60 20.00 13.35 20.00 11.96   3.64 20.00   8.02   9.96 19.74
.:. 20.50 20.00 19.69 20.00 17.97 10.00 20.00 19.69 10.00 19.56 20.00   0.00
NO_WORD 10.00 10.00 10.00 10.00 10.00 10.00   9.00 10.00   1.00   9.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -16.4455
Features matched: Adjunct.dropPosCxt: text adjunct "now" of "planned" dropped on aligned hyp word "plan"; Quant.contract: [every,every]; Quant.contract: [a,a]; RootEntailment.poorlyAlignedRoot: "does" aligned badly to "planned"
Hand-tuned score: 1.5000
Threshold: -11.4590

Inference ID: LCC-M-43

Txt: A US judge late on Thursday threw out Mr Kerkorian's claims that Daimler had fraudulently described the 1998 deal bringing together Daimler-Benz and Chrysler as a merger rather than a takeover to avoid paying a premium.

Hyp: The judge does think Daimler fraudlently described the 1998 deal to avoid paying a premium . (MULTIPLE ANSWERS)

The
DT		 judge
NN		 does
VBZ		 think
VBP		 Daimler
NNP		 fraudlently
RB		 described
VBD		 the
DT		 1998
CD		 deal
NN		 to
TO		 avoid
VB		 paying
VBG		 a
DT		 premium
NN		 .
.
A:DT 10.00 20.00 20.00 20.00 20.50 20.00 20.00 10.00 20.50 20.00 10.00 20.00 20.00   0.00 20.00 10.00
US:NNP 20.50   9.84 14.84 15.50 14.34 15.46 15.50 20.50 24.96   9.84 20.50 15.50 15.50 20.50 10.50 20.50
judge:NN 20.00   0.00 13.11 12.27   8.55 14.96 12.62 20.00 20.46   7.60 20.00   9.97 12.60 20.00 10.00 20.00
late:RB 20.00 14.54 19.96 19.96 15.46   9.96 19.02 20.00 19.73 14.96 20.00 19.96 19.96 20.00 14.96 18.78
Thursday:NNP 20.50 10.50 15.50 15.50 15.00 15.46 15.50 20.50 19.96   8.34 20.50 15.50 15.50 20.50 10.50 20.50
threw:VBD 20.00 12.16   8.95   7.32 14.45 19.96   7.74 20.00 20.46 11.73 20.00   9.80   7.74 20.00 15.00 19.04
Mr_Kerkorian:NNP 20.50   9.52 14.55 15.46 14.02 15.46 15.46 20.50 24.96   9.97 20.50 15.46 15.46 20.50 10.46 20.50
claims:NNS 20.00   5.60 12.91 12.82 10.50 14.96 13.84 20.00 20.46   6.45 20.00 14.17 13.37 20.00 10.00 20.00
that:IN 20.00 20.00 20.00 20.00 20.50 20.00 20.00 20.00 20.50 20.00 20.00 20.00 20.00 20.00 20.00 20.00
Daimler:NNP 20.50   8.55 13.61 15.50   0.00 15.46 15.50 20.50 24.96   9.45 20.50 15.50 15.50 20.50 10.50 20.50
had:VBD 20.00 12.62   8.11   7.32 13.55 19.96   7.62 20.00 20.46 11.73 20.00 10.00   6.84 20.00 15.00 20.00
fraudulently:RB 20.00 12.20 19.96 19.96 15.46   1.74 19.31 20.00 20.46 14.17 20.00 17.36 17.62 20.00 14.96 20.00
described:VBN 20.00 12.62 10.00   7.62 15.50 19.96   0.00 20.00 20.46 12.74 20.00 10.00   7.74 20.00 13.87 19.53
the:DT   0.00 20.00 18.65 20.00 20.50 20.00 20.00   0.00 20.50 20.00 10.00 20.00 20.00 10.00 20.00 10.00
1998:CD 20.50 20.46 19.48 20.46 24.96 20.46 20.46 20.50   0.00 19.10 20.50 20.46 19.31 20.50 19.34 20.10
deal:NN 20.00   7.60 13.13 12.60   9.45 14.96 12.74 20.00 19.10   0.00 20.00 12.60 12.02 20.00   7.22 18.53
bringing_together:VBG 20.00 14.96   9.96   9.96 15.46 19.96   9.96 20.00 20.46 14.18 20.00   9.96   9.96 20.00 14.96 20.00
Daimler-Benz:NNP 20.50 10.46 15.46 15.46   5.00 15.46 15.46 20.50 24.96 10.46 20.50 15.46 15.46 20.50 10.46 20.50
Chrysler:NNP 20.50 10.46 15.46 15.46   8.18 15.46 15.46 20.50 24.96 10.46 20.50 15.46 15.46 20.50 10.46 20.50
a:DT 10.00 20.00 20.00 20.00 20.50 20.00 20.00 10.00 20.50 20.00 10.00 20.00 20.00   0.00 20.00 10.00
merger:NN 20.00   8.66 15.00 14.56 10.50 14.96 14.98 20.00 19.79   4.96 20.00 15.00 15.00 20.00   8.61 20.00
rather:RB 20.00 14.96 19.96 19.96 15.46   9.96 19.96 20.00 20.46 14.96 20.00 19.96 19.96 20.00 14.96 20.00
than:IN 20.00 20.00 20.00 20.00 20.50 20.00 20.00 20.00 20.50 20.00 20.00 20.00 20.00 20.00 20.00 20.00
a:DT 10.00 20.00 20.00 20.00 20.50 20.00 20.00 10.00 20.50 20.00 10.00 20.00 20.00   0.00 20.00 10.00
takeover:NN 20.00   8.37 14.22 14.48 10.50 14.96 14.64 20.00 20.46   5.54 20.00 14.11 14.94 20.00   7.80 20.00
to:TO 10.00 20.00 17.95 20.00 20.50 20.00 20.00 10.00 20.50 20.00   0.00 20.00 20.00 10.00 20.00 10.00
avoid:VB 20.00   9.97   7.85   7.27 15.50 19.96 10.00 20.00 20.46 12.60 20.00   0.00   6.80 20.00 13.45 18.15
paying:VBG 20.00 12.60   9.02   7.60 15.50 19.96   7.74 20.00 19.31 12.02 20.00   6.80   0.00 20.00   9.42 19.21
a:DT 10.00 20.00 20.00 20.00 20.50 20.00 20.00 10.00 20.50 20.00 10.00 20.00 20.00   0.00 20.00 10.00
premium:NN 20.00 10.00 13.71 15.00 10.50 14.96 13.87 20.00 19.34   7.22 20.00 13.45   9.42 20.00   0.00 20.00
.:. 10.00 20.00 20.00 17.67 20.50 20.00 19.53 10.00 20.10 18.53 10.00 18.15 19.21 10.00 20.00   0.00
NO_WORD   1.00 10.00 10.00 10.00 10.00   9.00 10.00   1.00 10.00 10.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -23.0046
Features matched: Adjunct.dropPosCxt: text adjunct "bringing_together" of "described" dropped on aligned hyp word "described"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1998; NullPunisher.article: The; Quant.contract: [a,the]; Quant.contract: [a,a]; RootEntailment.poorlyAlignedRoot: "does" aligned badly to "threw"
Hand-tuned score: 2.4000
Threshold: -11.4590

Inference ID: LCC-M-44

Txt: A US judge late on Thursday threw out Mr Kerkorian's claims that Daimler had fraudulently described the 1998 deal bringing together Daimler-Benz and Chrysler as a merger rather than a takeover to avoid paying a premium.

Hyp: Mr Kerkorian does think Daimler fraudlently described the 1998 deal to avoid paying a premium . (MULTIPLE ANSWERS)

Mr_Kerkorian
NNP		 does
VBZ		 think
VBP		 Daimler
NNP		 fraudlently
RB		 described
VBD		 the
DT		 1998
CD		 deal
NN		 to
TO		 avoid
VB		 paying
VBG		 a
DT		 premium
NN		 .
.
A:DT 20.50 20.00 20.00 20.50 20.00 20.00 10.00 20.50 20.00 10.00 20.00 20.00   0.00 20.00 10.00
US:NNP 14.67 14.84 15.50 14.34 15.46 15.50 20.50 24.96   9.84 20.50 15.50 15.50 20.50 10.50 20.50
judge:NN   9.52 13.11 12.27   8.55 14.96 12.62 20.00 20.46   7.60 20.00   9.97 12.60 20.00 10.00 20.00
late:RB 15.46 19.96 19.96 15.46   9.96 19.02 20.00 19.73 14.96 20.00 19.96 19.96 20.00 14.96 18.78
Thursday:NNP 14.96 15.50 15.50 15.00 15.46 15.50 20.50 19.96   8.34 20.50 15.50 15.50 20.50 10.50 20.50
threw:VBD 14.97   8.95   7.32 14.45 19.96   7.74 20.00 20.46 11.73 20.00   9.80   7.74 20.00 15.00 19.04
Mr_Kerkorian:NNP   0.00 14.55 15.46 14.02 15.46 15.46 20.50 24.96   9.97 20.50 15.46 15.46 20.50 10.46 20.50
claims:NNS 10.46 12.91 12.82 10.50 14.96 13.84 20.00 20.46   6.45 20.00 14.17 13.37 20.00 10.00 20.00
that:IN 20.50 20.00 20.00 20.50 20.00 20.00 20.00 20.50 20.00 20.00 20.00 20.00 20.00 20.00 20.00
Daimler:NNP 14.02 13.61 15.50   0.00 15.46 15.50 20.50 24.96   9.45 20.50 15.50 15.50 20.50 10.50 20.50
had:VBD 14.52   8.11   7.32 13.55 19.96   7.62 20.00 20.46 11.73 20.00 10.00   6.84 20.00 15.00 20.00
fraudulently:RB 15.46 19.96 19.96 15.46   1.74 19.31 20.00 20.46 14.17 20.00 17.36 17.62 20.00 14.96 20.00
described:VBN 15.46 10.00   7.62 15.50 19.96   0.00 20.00 20.46 12.74 20.00 10.00   7.74 20.00 13.87 19.53
the:DT 20.50 18.65 20.00 20.50 20.00 20.00   0.00 20.50 20.00 10.00 20.00 20.00 10.00 20.00 10.00
1998:CD 24.96 19.48 20.46 24.96 20.46 20.46 20.50   0.00 19.10 20.50 20.46 19.31 20.50 19.34 20.10
deal:NN   9.97 13.13 12.60   9.45 14.96 12.74 20.00 19.10   0.00 20.00 12.60 12.02 20.00   7.22 18.53
bringing_together:VBG 15.46   9.96   9.96 15.46 19.96   9.96 20.00 20.46 14.18 20.00   9.96   9.96 20.00 14.96 20.00
Daimler-Benz:NNP 14.96 15.46 15.46   5.00 15.46 15.46 20.50 24.96 10.46 20.50 15.46 15.46 20.50 10.46 20.50
Chrysler:NNP 14.96 15.46 15.46   8.18 15.46 15.46 20.50 24.96 10.46 20.50 15.46 15.46 20.50 10.46 20.50
a:DT 20.50 20.00 20.00 20.50 20.00 20.00 10.00 20.50 20.00 10.00 20.00 20.00   0.00 20.00 10.00
merger:NN 10.46 15.00 14.56 10.50 14.96 14.98 20.00 19.79   4.96 20.00 15.00 15.00 20.00   8.61 20.00
rather:RB 15.46 19.96 19.96 15.46   9.96 19.96 20.00 20.46 14.96 20.00 19.96 19.96 20.00 14.96 20.00
than:IN 20.50 20.00 20.00 20.50 20.00 20.00 20.00 20.50 20.00 20.00 20.00 20.00 20.00 20.00 20.00
a:DT 20.50 20.00 20.00 20.50 20.00 20.00 10.00 20.50 20.00 10.00 20.00 20.00   0.00 20.00 10.00
takeover:NN 10.46 14.22 14.48 10.50 14.96 14.64 20.00 20.46   5.54 20.00 14.11 14.94 20.00   7.80 20.00
to:TO 20.50 17.95 20.00 20.50 20.00 20.00 10.00 20.50 20.00   0.00 20.00 20.00 10.00 20.00 10.00
avoid:VB 15.46   7.85   7.27 15.50 19.96 10.00 20.00 20.46 12.60 20.00   0.00   6.80 20.00 13.45 18.15
paying:VBG 15.46   9.02   7.60 15.50 19.96   7.74 20.00 19.31 12.02 20.00   6.80   0.00 20.00   9.42 19.21
a:DT 20.50 20.00 20.00 20.50 20.00 20.00 10.00 20.50 20.00 10.00 20.00 20.00   0.00 20.00 10.00
premium:NN 10.46 13.71 15.00 10.50 14.96 13.87 20.00 19.34   7.22 20.00 13.45   9.42 20.00   0.00 20.00
.:. 20.50 20.00 17.67 20.50 20.00 19.53 10.00 20.10 18.53 10.00 18.15 19.21 10.00 20.00   0.00
NO_WORD 10.00 10.00 10.00 10.00   9.00 10.00   1.00 10.00 10.00 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -24.0046
Features matched: Adjunct.dropPosCxt: text adjunct "bringing_together" of "described" dropped on aligned hyp word "described"; Date.matchDatesByNormForm: hyp/txt matching, by normalized form: 01/01/1998; Quant.contract: [a,a]; RootEntailment.poorlyAlignedRoot: "does" aligned badly to "threw"; Structure.parentsMismatch: args have different parents, different relations: text "Mr_Kerkorian" <-poss-- "claims" vs. hyp "Mr_Kerkorian" <-nsubj-- "does", which aligned to text "threw"
Hand-tuned score: -1.5000
Threshold: -11.4590

Inference ID: LCC-M-46

Txt: MG Rover is on the brink of collapse after Britain refused to provide $100 million in emergency funding and component suppliers withdrew their support, forcing the car-maker to halt production.

Hyp: MG Rover does make cars . (MULTIPLE ANSWERS)

MG_Rover
NNP		 does
VBZ		 make
VB		 cars
NNS		 .
.
MG_Rover:NNP   0.00 14.55 15.46   9.97 20.50
is:VBZ 12.70   9.34   5.46 14.34 20.00
the:DT 20.50 18.65 20.00 20.00 10.00
brink:NN   9.84 14.34 15.00   9.34 19.75
collapse:NN 10.46 14.59 12.61 10.00 20.00
after:IN 20.50 16.70 20.00 20.00 20.00
Britain:NNP 14.67 14.84 15.50   9.84 20.50
refused:VBD 14.17   9.34   8.07 14.34 18.57
to:TO 20.50 17.95 20.00 20.00 10.00
provide:VB 15.46   8.41   7.26 15.00 19.27
$:$ 25.00 20.08 20.50 20.50   9.91
100:CD 23.23 20.50 18.40 18.89 18.81
million:CD 23.23 19.98 20.48 19.39 19.92
emergency:NN   9.97 13.95 15.00   7.12 20.00
funding:NN 10.46 14.16 13.35 10.00 20.00
component:NN   9.84 13.95 11.67   8.95 18.36
suppliers:NNS   9.52 13.11 12.97   5.51 19.89
withdrew:VBD 15.46 10.00   7.27 15.00 20.00
their:PRP$ 12.50 15.00 15.00 12.00 20.00
support:NN   9.84 13.95   8.93   7.06 18.74
,:, 20.50 19.26 18.37 20.00   5.73
forcing:VBG 14.54   6.69   5.68 13.45 19.42
the:DT 20.50 18.65 20.00 20.00 10.00
car-maker:NN 10.46 14.08 10.00   4.42 19.82
to:TO 20.50 17.95 20.00 20.00 10.00
halt:VB 15.46   8.94   8.35 14.35 19.72
production:NN   9.42 13.95 10.46   7.38 20.00
.:. 20.50 20.00 16.97 19.96   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -12.8754
Features matched: Adjunct.dropPosCxt: text adjunct "brink" of "is" dropped on aligned hyp word "make"; NullPunisher.aux: does; RootEntailment.poorlyAlignedRoot: "make" aligned badly to "is"; Structure.argsMismatch: args have different parents but same relations: text "car-maker" <-dobj-- "forcing vs. hyp "cars" <-dobj-- "make", which aligned to text "is"
Hand-tuned score: -3.5500
Threshold: -11.4590

Inference ID: LCC-M-49

Txt: A World Trade Organization (WTO) appeals panel Thursday ruled that although the United States can continue with its restrictions on internet gambling, some of the rules imposed by the country were discriminatory to foreign operators.

Hyp: The United_States does have internet gambling restrictions . (MULTIPLE ANSWERS)

The
DT		 United_States
NNPS		 does
VBZ		 have
VB		 internet
JJ		 gambling
NN		 restrictions
NNS		 .
.
A:DT 10.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00
World_Trade_Organization:NNP 20.50   8.09 13.09 14.40 11.97   9.36   9.23 20.50
-LRB-:-LRB- 10.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00
WTO:NNP 20.00   7.59 12.59 15.00 12.00 10.00 10.00 20.00
-RRB-:-RRB- 10.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00
appeals:VBZ 20.00 15.00   8.94 10.00 11.34 13.35 12.71 20.00
panel:NN 20.00   7.59 10.85 12.62   9.12 10.00   7.76 20.00
Thursday:NNP 20.50 10.50 15.50 15.50 12.50 10.50 10.50 20.50
ruled:VBD 20.00 13.72   8.78   6.79   9.12 12.57   7.84 20.00
that:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
although:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00 20.00
the:DT   0.00 20.00 18.65 20.00 20.00 20.00 20.00 10.00
United_States:NNPS 20.50   0.50 12.44 13.48 11.84 10.50   9.45 20.50
can:MD 10.00 19.34 18.95 17.32 17.12 20.00 20.00 10.00
continue:VB 20.00 13.87   7.85   7.12 12.00 13.72 13.54 19.03
its:PRP$ 20.00 12.00 15.00 15.00 15.00 12.00 12.00 20.00
restrictions:NNS 20.00   8.95 14.30 15.00 11.08   7.31   0.00 19.76
internet:JJ 20.00 11.34 10.95 10.95   0.00 11.80 11.08 19.91
gambling:NN 20.00 10.00 14.17 15.00 11.80   0.00   7.31 19.76
,:, 10.00 20.00 19.26 20.00 20.00 20.00 19.82   5.73
some:DT 10.00 20.00 20.00 20.00 20.00 20.00 20.00 10.00
the:DT   0.00 20.00 18.65 20.00 20.00 20.00 20.00 10.00
rules:NNS 20.00   8.72 13.59 11.79   9.12   6.97   2.47 19.08
imposed:VBN 20.00 13.87   9.01   5.68 12.00 13.61   8.86 20.00
the:DT   0.00 20.00 18.65 20.00 20.00 20.00 20.00 10.00
country:NN 20.00   2.00 11.69 14.34 11.27   7.55   8.45 18.25
were:VBD 20.00 12.76   9.34   7.80 11.34 15.00 15.00 20.00
discriminatory:JJ 20.00 11.96 10.13 11.96   9.96 10.77   7.96 19.78
foreign:JJ 20.00 11.96 11.96 11.96   9.96 11.59   7.04 20.00
operators:NNS 20.00   9.34 13.11 13.05   8.75   6.57   5.59 19.53
.:. 10.00 20.00 20.00 20.00 19.91 19.76 19.76   0.00
NO_WORD   1.00 10.00   1.00 10.00   9.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -16.6201
Features matched: Modal.dontKnow: possible -> actual; NullPunisher.aux: does; RootEntailment.poorlyAlignedRoot: "have" aligned badly to "continue"; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "appeals vs. hyp "." <-punct-- "have", which aligned to text "continue" noun args have different parents but same relations: "internet": "gambling" vs. "restrictions" text "restrictions" is prep_with of "continue" while hyp "restrictions" is dobj of "have" which aligned to text "continue"
Hand-tuned score: -6.0500
Threshold: -11.4590

Inference ID: LCC-M-50

Txt: Video games have provided one of the last refuges from the ubiquitous advertising that hits consumers from every direction.

Hyp: Video_games do contain advertisements . (MULTIPLE ANSWERS)

Video_games
NNS		 do
VBP		 contain
VB		 advertisements
NNS		 .
.
Video_games:NNS   0.00 13.18 15.00   8.92 20.00
have:VBP 14.05   6.02   7.65 15.00 20.00
provided:VBN 15.00   7.62   6.15 13.77 19.08
one:CD 18.36 19.19 20.50 19.19 20.50
the:DT 20.00 20.00 20.00 20.00 10.00
last:JJ   9.72   9.69 10.33 10.69 20.00
refuges:NNS   7.72 11.76 14.59   8.69 20.00
the:DT 20.00 20.00 20.00 20.00 10.00
ubiquitous:JJ 11.96 11.72 10.96   8.94 20.00
advertising:NN   8.35 12.69 15.00   1.00 20.00
that:WDT 20.00 20.00 20.00 20.00 10.00
hits:VBZ 13.35   7.45   7.21 14.35 19.25
consumers:NNS   9.05 14.72 13.59   7.34 19.80
every:DT 20.00 20.00 20.00 20.00 10.00
direction:NN   7.72 12.69 15.00   7.10 18.57
.:. 20.00 18.81 18.50 20.00   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -10.1537
Features matched: Adjunct.dropPosCxt: text adjunct "hits" of "advertising" dropped on aligned hyp word "advertisements"; NullPunisher.aux: do; RootEntailment.poorlyAlignedRoot: "contain" aligned badly to "provided"; Structure.relMismatch: text "advertising" is prep_from of "provided" while hyp "advertisements" is dobj of "contain" which aligned to text "provided"
Hand-tuned score: -1.5500
Threshold: -11.4590

Inference ID: LCC-M-53

Txt: Bocelli grew up among the vineyards and olive groves of his estate in Lajatico, a community in rural Tuscany near Pisa.

Hyp: Bocelli does have a home in Tuscany . (MULTIPLE ANSWERS)

Bocelli
NNP		 does
VBZ		 have
VB		 a
DT		 home
NN		 Tuscany
NNP		 .
.
Bocelli:NNP   0.00 15.46 15.46 20.50 10.46 14.96 20.50
grew_up:VBD 15.46 10.00   7.61 20.00 15.00 15.50 20.00
the:DT 20.50 18.65 20.00 10.00 20.00 20.50 10.00
vineyards:NNS 10.46 14.34 14.34 20.00   5.46   8.02 20.00
olive:NN 10.46 13.11 13.11 20.00   8.95   9.84 19.32
groves:NNS 10.46 13.11 13.05 20.00   8.95   9.84 19.13
his:PRP$ 12.50 15.00 15.00 20.00 12.00 12.50 20.00
estate:NN 10.46 13.13 15.00 20.00   6.69 10.50 19.68
Lajatico:NNP 14.96 15.46 15.46 20.50 10.46   9.96 20.50
,:, 20.50 19.26 20.00 10.00 18.47 20.50   5.73
a:DT 20.50 20.00 20.00   0.00 20.00 20.50 10.00
community:NN 10.46 12.59 14.34 20.00   7.44   6.88 18.74
rural:JJ 12.46 11.96 11.96 20.00   9.24 12.46 18.27
Tuscany:NNP 14.96 14.84 14.84 20.50   8.02   0.00 20.50
Pisa:NNP 14.96 14.84 14.84 20.50   8.02   2.00 20.50
.:. 20.50 20.00 20.00 10.00 18.44 20.50   0.00
NO_WORD 10.00   1.00 10.00   1.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -18.0571
Features matched: Adjunct.dropPosCxt: text adjunct "rural" of "Tuscany" dropped on aligned hyp word "Tuscany"; NullPunisher.aux: does; Quant.contract: [a,a]; RootEntailment.poorlyAlignedRoot: "have" aligned badly to "grew_up"; Structure.parentsMismatch: args have different parents, different relations: text "community" <-appos-- "Lajatico" vs. hyp "home" <-dobj-- "have", which aligned to text "grew_up"
Hand-tuned score: -2.5500
Threshold: -11.4590

Inference ID: LCC-M-55

Txt: Mike Campbell dented his car door in an accident on Friday.

Hyp: Does Mike 's car have a dent ? (MULTIPLE ANSWERS)

Does_Mike
NNP		 car
NN		 have
VBP		 a
DT		 dent
NN		 ?
.
Mike_Campbell:NNP   0.00   9.06 14.52 20.50 10.46 20.50
dented:VBD 15.46 12.27   7.61 20.00   0.31 20.00
his:PRP$ 12.50 12.00 15.00 20.00 12.00 20.00
car_door:NN   9.06   0.00 13.95 20.00 10.00 20.00
an:DT 20.50 20.00 20.00   8.73 20.00 10.00
accident:NN 10.46   5.20 15.00 20.00   5.00 19.31
Friday:NNP 14.96 10.50 15.50 20.50   9.19 20.50
.:. 20.50 19.69 20.00 10.00 19.18 10.00
NO_WORD 10.00 10.00 10.00   1.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -24.9236
Features matched: Adjunct.dropPosCxt: text adjunct "Friday" of "dented" dropped on aligned hyp word "dent"; NullPunisher.article: a; RootEntailment.poorlyAlignedRoot: "have" aligned badly to "dented"; Structure.relMismatch: text "car_door" is dobj of "dented" while hyp "car" is nsubj of "have" which aligned to text "dented"
Hand-tuned score: -1.6000
Threshold: -11.4590

Inference ID: LCC-M-56

Txt: Two sisters who know their mother had genetic testing before she died of ovarian cancer want to find out her test results.

Hyp: Cancer did cause their mother 's death . (MULTIPLE ANSWERS)

Cancer
NNP		 did
VBD		 cause
VB		 their
PRP$		 mother
NN		 death
NN		 .
.
Two:CD 20.50 19.19 19.19 20.50 20.50 18.34 20.50
sisters:NNS   8.05 15.00 13.08 12.00   3.48   7.39 19.33
who:WP 12.00 15.00 15.00 10.00 12.00 12.00 20.00
know:VBP 15.00   3.36   8.54 15.00 14.50 14.98 17.93
their:PRP$ 12.00 15.00 15.00   0.00 12.00 12.00 20.00
mother:NN   8.05 12.32 12.32 12.00   0.00   4.88 19.25
had:VBD 13.05   7.32   5.68 15.00 12.32 15.00 20.00
genetic:JJ 11.96 11.96   7.45 15.00 11.89   8.34 19.79
testing:NN 10.00 14.31 11.63 12.00   9.83   8.35 19.11
before:IN 20.00 20.00 20.00 20.00 20.00 20.00 20.00
she:PRP 12.00 15.00 15.00 10.00 12.00 12.00 20.00
died:VBD 13.95   4.45   5.62 15.00   9.50   2.50 20.00
ovarian:NN   9.96 14.42 10.52 12.00   7.94   6.99 20.00
cancer:NN   0.00 14.36   8.61 12.00   7.85   5.16 20.00
want:VBP 11.51   4.88   9.15 15.00 12.90 12.44 17.90
to:TO 20.00 20.00 20.00 20.00 20.00 20.00 10.00
find_out:VB 15.00   8.66   8.66 15.00 13.66 13.69 20.00
her:PRP$ 12.00 15.00 15.00   6.15 12.00 12.00 20.00
test:NN   6.46 13.37 11.72 12.00   7.82   7.82 19.47
results:NNS   8.13 12.32 11.45 12.00   7.32   6.89 19.91
.:. 20.00 17.99 19.62 20.00 19.25 19.34   0.00
NO_WORD 10.00   1.00 10.00 10.00 10.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -17.1214
Features matched: Adjunct.dropPosCxt: text adjunct "ovarian" of "cancer" dropped on aligned hyp word "Cancer"; NullPunisher.aux: did; RootEntailment.poorlyAlignedRoot: "cause" aligned badly to "died"; Structure.argsMismatch: args have different parents but same relations: text "." <-punct-- "want vs. hyp "." <-punct-- "cause", which aligned to text "died" args have different parents, different relations: text "died" <-advcl-- "had" vs. hyp "death" <-dobj-- "cause", which aligned to text "died" text "cancer" is prep_of of "died" while hyp "Cancer" is nsubj of "cause" which aligned to text "died"
Hand-tuned score: -3.5500
Threshold: -11.4590

Inference ID: LCC-M-58

Txt: Marc Vaughn didn't kill the four hostages with a gun, he used a knife.

Hyp: Vaughn did use a gun to kill the four hostages . (MULTIPLE ANSWERS)

Vaughn
NNP		 did
VBD		 use
VB		 a
DT		 gun
NN		 to
TO		 kill
VB		 the
DT		 four
CD		 hostages
NNS		 .
.
Marc_Vaughn:NNP   0.00 15.46 15.46 20.50   9.54 20.50 15.46 20.50 24.96   9.54 20.50
did:VBD 15.46   0.00   6.76 20.00 14.10 20.00   6.25 20.00 19.19 14.75 17.99
n't:RB 15.46 13.27 19.34 20.00 14.96 20.00 17.52 20.00 20.46 14.96 17.90
kill:VB 15.46   6.25   6.55 20.00   9.18 20.00   0.00 20.00 20.50 11.90 19.27
the:DT 20.50 20.00 20.00 10.00 20.00 10.00 20.00   0.00 20.50 20.00 10.00
four:CD 24.96 19.19 19.19 20.50 20.50 20.50 20.50 20.50   0.00 20.50 19.35
hostages:NNS 10.46 14.75 14.38 20.00   6.97 20.00 11.90 20.00 20.50   0.00 20.00
a:DT 20.50 20.00 20.00   0.00 20.00 10.00 20.00 10.00 20.50 20.00 10.00
gun:NN 10.46 14.10 10.88 20.00   0.00 20.00   9.18 20.00 20.50   6.97 19.17
,:, 20.50 19.80 19.07 10.00 18.82 10.00 19.03 10.00 19.92 20.00   5.73
he:PRP 12.50 15.00 15.00 20.00 12.00 20.00 15.00 18.00 20.50 12.00 20.00
used:VBD 15.46   6.76   0.50 20.00 10.88 20.00   6.55 20.00 19.19 14.66 18.25
a:DT 20.50 20.00 20.00   0.00 20.00 10.00 20.00 10.00 20.50 20.00 10.00
knife:NN 10.46 12.53 12.53 20.00   4.54 20.00   9.88 20.00 19.19   7.08 19.97
.:. 20.50 17.99 18.38 10.00 19.17 10.00 19.27 10.00 19.35 20.00   0.00
NO_WORD 10.00   1.00 10.00   1.00 10.00 10.00 10.00   1.00 10.00 10.00 10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -17.5000
Features matched: Polarity.txtNegMarker: "kill": neg; NullPunisher.functionWord: to; NullPunisher.aux: did; Quant.contract: [a,a]; Structure.argsMismatch: args have different parents but same relations: text "Marc_Vaughn" <-nsubj-- "kill vs. hyp "Vaughn" <-nsubj-- "use", which aligned to text "used" args have different parents, different relations: text "gun" <-prep_with-- "hostages" vs. hyp "gun" <-dobj-- "use", which aligned to text "used"
Hand-tuned score: -1.1500
Threshold: -11.4590

Inference ID: LCC-M-60

Txt: Early in the 1990s, Chinese officials made land available for a new hospital, and money for construction and operating costs.

Hyp: Officials from China did make land available for a new hospital . (MULTIPLE ANSWERS)

Officials
NNS		 China
NNP		 did
VBD		 make
VB		 land
NN		 available
JJ		 a
DT		 new
JJ		 hospital
NN		 .
.
Early:RB 14.96 15.46 19.96 19.96 14.96 11.96 20.00 11.96 14.96 20.00
the:DT 20.00 20.50 20.00 20.00 20.00 20.00 10.00 20.00 20.00 10.00
1990s:NNS 10.50 15.00 14.19 15.50   9.17 12.46 20.50 12.46 10.50 19.68
,:, 20.00 20.50 19.80 18.37 19.49 19.90 10.00 19.57 18.41   5.73
Chinese:JJ 10.55 10.00 10.35 12.50 10.55 10.46 20.50 10.46 11.45 20.50
officials:NNS   0.00   9.45 13.24 14.30   8.05 11.03 20.00 11.38   8.72 19.34
made:VBD 15.00 15.50   3.40   0.50 12.62 10.54 20.00 11.96 15.00 17.07
land:NN   8.05   2.50 12.62 12.62   0.00 11.96 20.00 11.96   7.59 18.77
available:JJ 11.96 12.46 11.30   9.41 11.96   0.00 20.00   8.74 11.96 18.13
a:DT 20.00 20.50 20.00 20.00 20.00 20.00   0.00 20.00 20.00 10.00
new:JJ 11.96 12.46 11.96 11.96 11.96   8.74 20.00   0.00 10.56 20.00
hospital:NN   8.95   8.53 13.81 15.00   7.59 11.96 20.00 10.56   0.00 20.00
,:, 20.00 20.50 19.80 18.37 19.49 19.90 10.00 19.57 18.41   5.73
money:NN 10.00 10.50 10.67 10.93   4.70 10.38 20.00 11.94   9.88 19.71
construction:NN   8.95   8.53 12.69 10.46   5.86 11.96 20.00 11.96   3.00 18.44
operating:NN 10.00 10.50 11.04 11.51   7.65 11.96 20.00 11.67   9.87 20.00
costs:NNS 10.00 10.50 15.00 12.98   6.96 11.77 20.00 11.96   8.18 20.00
.:. 20.00 20.50 17.99 16.97 18.77 18.13 10.00 20.00 20.00   0.00
NO_WORD 10.00 10.00 10.00 10.00 10.00   9.00   1.00   9.00 10.00 10.00

Response: yes (CORRECT)
Justification:
Alignment score: -17.1179
Features matched: Adjunct.dropPosCxt: text adjunct "Early" of "made" dropped on aligned hyp word "make"; Quant.contract: [a,a]
Hand-tuned score: 2.5000
Threshold: -11.4590

Word similarity table built on Thu Jul 06 00:21:56 PDT 2006 using command:
java edu.stanford.nlp.rte.WordSimilarityGenerator -info /u/nlp/rte/data/byformat/align/stochastic/lccm_dev.pipeline.align.xml -output /u/nlp/rte/data/byformat/wordsim/stochastic/lccm_dev.pipeline.wordsim.html -lex.BasicWN off