Passage/Hypothesis term similarities

The rows are the passage words. The columns are hypothesis words.
Resource summary:
Cyc: null
Resnik WN: edu.stanford.nlp.rte.ResnikWNLexicalResource@165973ea
Basic WN: edu.stanford.nlp.rte.BasicWNLexicalResource@4ac9131c
Infomap: edu.stanford.nlp.rte.InfoMapLexicalResource@5705b99f
Google: null
Acronyms: edu.stanford.nlp.rte.AcronymLexicalResource@38dda25b
Countries: edu.stanford.nlp.rte.CountryLexicalResource@5ece2187
Number: edu.stanford.nlp.rte.NumberLexicalResource@2efb56b1
Preposition: edu.stanford.nlp.rte.PrepositionLexicalResource@76f8968f
Ordinal edu.stanford.nlp.rte.OrdinalLexicalResource@3a64c34e
Dekang Lin: edu.stanford.nlp.rte.DekangLinSimLexicalResource@2d5253d5
Ravichandran: edu.stanford.nlp.rte.RavichandranSimLexicalResource@77fddc31
StringSim: edu.stanford.nlp.rte.StringSimLexicalResource@3b835282
NomBank: edu.stanford.nlp.rte.NomBankLexicalResource@2a9df354

Inference ID: 8

Passage: Mangla was summoned after Madhumita's sister Nidhi Shukla, who was the first witness in the case.

Hypothesis: Shukla is related to Mangla. (don't know)

	Shukla NNP	is VBZ	related VBN	Mangla NNP
Mangla:NNP	9.96	15.46	15.46	5.00
was:VBD	15.46	0.50	10.00	15.46
summoned:VBN	14.94	10.00	9.68	15.46
Madhumita:NNP	9.96	15.46	15.46	14.96
sister:JJ	12.46	11.34	11.59	12.46
Nidhi_Shukla:NNP	0.00	15.46	15.46	14.96
who:WP	12.50	15.00	15.00	12.50
was:VBD	15.46	0.50	10.00	15.46
the:DT	20.50	20.00	20.00	20.50
first:JJ	12.46	11.34	12.00	12.46
witness:NN	9.31	13.07	13.03	10.46
the:DT	20.50	20.00	20.00	20.50
case:NN	9.89	14.34	12.46	10.46
NO_WORD	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -4.7951
Adjunct.dropPosCxt: text adjunct "witness" of "Nidhi_Shukla" dropped on aligned hyp word "Shukla"; RootEntailment.poorlyAlignedRoot: "related" aligned badly to "summoned"; Structure.relMismatch: text "Nidhi_Shukla" is IN_after of "summoned" while hyp "Shukla" is nsubjpass of "related" which aligned to text "summoned" text "Mangla" is nsubjpass of "summoned" while hyp "Mangla" is IN_to of "related" which aligned to text "summoned"
Inference score: -7.2951
Threshold: -6.4435

Inference ID: 9

Passage: Authorities in Brazil say that more than 200 people are being held hostage in a prison in the country's remote, Amazonian-jungle state of Rondonia.

Hypothesis: Authorities in Brazil hold 200 people as hostage. (don't know)

	Authorities NNS	Brazil NNP	hold VBP	200 CD	people NNS	hostage NN
Authorities:NNS	0.00	9.82	15.00	20.46	7.81	6.24
Brazil:NNP	9.82	0.00	14.45	24.43	10.50	9.45
say:VBP	12.49	15.50	6.68	19.61	12.63	12.96
that:IN	20.00	20.50	20.00	20.50	20.00	20.00
more_than:IN	20.00	20.50	20.00	20.50	20.00	20.00
200:CD	20.46	24.43	20.46	0.00	18.13	20.46
people:NNS	7.81	10.50	12.62	18.13	0.00	8.37
are:VBP	15.00	15.50	7.84	20.46	15.00	15.00
being:VBG	15.00	14.45	7.44	20.46	15.00	13.11
held:VBN	14.72	14.45	0.31	19.61	12.62	13.84
hostage:NN	6.24	9.45	12.83	20.46	8.37	0.00
a:DT	20.00	20.50	20.00	20.50	20.00	20.00
prison:NN	5.00	9.45	12.06	19.86	8.50	8.95
the:DT	20.00	20.50	20.00	20.50	20.00	20.00
country:NN	7.59	2.50	14.34	19.95	6.02	8.38
remote:JJ	8.99	11.45	10.03	20.03	10.10	9.83
Amazonian-jungle:JJ	11.67	12.28	11.96	18.78	11.96	11.43
state:NN	5.62	2.50	10.88	20.46	7.81	9.34
Rondonia:NNP	10.46	9.96	15.46	24.96	10.46	10.46
NO_WORD	10.00	10.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -1.0516
Factive.unknownPassage: non factive text -- unknown: say-VBP-0:4; Adjunct.dropPosCxt: text adjunct "more_than" of "people" dropped on aligned hyp word "people"; Numeric.mismatch: NUMBER mismatch: '200.0' vs '>200.0'; Structure.argsMismatch: args have different parents but same relations: text "Authorities" <-nsubj-- "say vs. hyp "Authorities" <-nsubj-- "hold", which aligned to text "held" ; Structure.argsMismatch&Align.veryGood: ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -11.5516
Threshold: -6.4435

Inference ID: 15

Passage: A mercenary group faithful to the warmongering policy of former Somozist colonel Enrique Bermudez attacked an IFA truck belonging to the interior ministry at 0900 on 26 March in El Jicote, wounded and killed an interior ministry worker and wounded five others.

Hypothesis: An interior ministry worker was killed by a mercenary group. (yes)

	An DT	interior JJ	ministry NN	worker NN	was VBD	killed VBN	a DT	mercenary JJ	group NN
A:DT	10.00	20.00	20.00	20.00	20.00	20.00	0.00	20.00	20.00
mercenary:JJ	20.00	8.94	10.95	10.05	11.34	9.87	20.00	0.00	11.34
group:NN	20.00	10.13	8.13	8.55	14.34	12.60	20.00	11.34	0.00
faithful:NN	20.00	9.81	7.81	10.00	15.00	13.90	20.00	11.34	8.13
the:DT	10.00	20.00	20.00	20.00	20.00	20.00	10.00	20.00	20.00
warmongering:VBG	20.00	12.00	15.00	15.00	10.00	10.00	20.00	12.00	15.00
policy:NN	20.00	10.76	9.20	10.00	15.00	15.00	20.00	12.00	8.69
former:JJ	20.00	10.00	12.00	12.00	12.00	12.00	20.00	10.00	12.00
Somozist:NNP	20.00	11.96	9.96	9.96	14.96	14.96	20.00	11.96	9.96
colonel:NNP	20.00	7.86	8.95	6.23	14.34	11.79	20.00	7.71	9.34
Enrique_Bermudez:NNP	20.50	12.46	10.46	10.46	15.46	15.46	20.50	12.46	10.46
attacked:VBN	20.00	11.76	15.00	13.99	10.00	3.91	20.00	9.30	13.07
an:DT	0.00	20.00	20.00	20.00	20.00	20.00	10.00	20.00	20.00
IFA:NNP	20.50	12.46	7.90	9.49	15.46	14.91	20.50	12.46	8.12
truck:NN	20.00	9.53	8.03	7.73	14.34	12.65	20.00	10.87	9.34
belonging:VBG	20.00	9.85	14.10	14.11	10.00	6.47	20.00	10.43	11.32
the:DT	10.00	20.00	20.00	20.00	20.00	20.00	10.00	20.00	20.00
interior:JJ	20.00	0.00	5.95	10.35	9.52	11.73	20.00	8.94	10.13
ministry:NN	20.00	5.95	0.00	8.95	14.34	14.43	20.00	10.95	8.13
0900:CD	20.50	20.46	20.46	20.46	20.46	20.46	20.50	20.46	20.46
26:CD	20.50	20.50	20.50	20.23	20.50	20.50	20.50	20.50	19.19
March:NNP	20.50	10.02	8.07	9.48	11.88	9.20	20.50	11.84	8.10
El_Jicote:NNP	20.50	11.29	9.29	10.46	15.46	15.46	20.50	12.46	9.56
wounded:VBN	20.00	10.13	13.13	14.09	10.00	1.16	20.00	9.82	13.13
killed:VBN	20.00	11.73	14.43	14.18	10.00	0.00	20.00	9.87	12.60
an:DT	0.00	20.00	20.00	20.00	20.00	20.00	10.00	20.00	20.00
interior:JJ	20.00	0.00	5.95	10.35	9.52	11.73	20.00	8.94	10.13
ministry:NN	20.00	5.95	0.00	8.95	14.34	14.43	20.00	10.95	8.13
worker:NN	20.00	10.35	8.95	0.00	14.34	14.18	20.00	10.05	8.55
wounded:VBN	20.00	10.13	13.13	14.09	10.00	1.16	20.00	9.82	13.13
five:CD	20.50	17.19	17.19	20.50	20.50	19.67	20.50	20.50	18.63
others:NNS	20.00	11.96	9.96	8.51	14.96	14.96	20.00	11.96	8.81
NO_WORD	1.00	9.00	10.00	10.00	1.00	10.00	1.00	9.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -0.8889
Quant.contract: [an,an]; NullPunisher.aux: was; NullPunisher.article: a; Structure.argsMismatch: passive struct without correct agent (faithful vs. group); Structure.argsMismatch: args have different parents but same relations: text "worker" <-dobj-- "attacked vs. hyp "worker" <-nsubjpass-- "killed", which aligned to text "killed" args have different parents, different relations: text "group" <-nn-- "faithful" vs. hyp "group" <-agent-- "killed", which aligned to text "killed" ; Structure.argsMismatch&Align.veryGood:
Inference score: -9.0389
Threshold: -6.4435

Inference ID: 16

Passage: The British ambassador to Egypt, Derek Plumbly, told Reuters on Monday that authorities had compiled the list of 10 based on lists from tour companies and from families whose relatives have not been in contact since the bombings.

Hypothesis: Derek Plumbly resides in Egypt. (yes)

	Derek_Plumbly NNP	resides VBZ	Egypt NNP
The:DT	20.50	20.00	20.50
British:NNP	14.96	15.50	7.74
ambassador:NN	10.46	13.79	5.83
Egypt:NNP	14.96	14.82	0.00
Derek_Plumbly:NNP	5.00	15.46	14.96
told:VBD	15.46	9.48	14.84
Reuters:NNP	9.96	15.46	14.96
Monday:NNP	14.96	15.50	13.81
that:IN	20.50	20.00	20.50
authorities:NNS	10.46	13.90	10.33
had:VBD	15.46	10.00	14.84
compiled:VBN	15.46	9.33	15.50
the:DT	20.50	20.00	20.50
list:NN	10.46	14.68	9.86
10:CD	24.96	20.50	24.77
based:VBN	15.46	7.91	13.02
lists:NNS	10.46	12.93	10.50
tour:NN	10.46	13.36	9.60
companies:NNS	10.46	15.00	9.62
families:NNS	10.46	13.37	9.84
whose:WP$	12.50	15.00	12.50
relatives:NN	10.46	12.63	8.39
have:VBP	15.46	10.00	14.84
not:RB	15.46	19.96	15.46
been:VBN	15.46	6.70	14.84
contact:NN	10.46	14.57	9.84
the:DT	20.50	20.00	20.50
bombings:NNS	10.46	12.00	7.22
NO_WORD	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -5.2343
Polarity.txtNegMarker: "been": neg; Adjunct.diffPol: hyp and txt have different polarity; RootEntailment.poorlyAlignedRoot: "resides" aligned badly to "been"; Structure.parentsMismatch: args have different parents, different relations: text "Derek_Plumbly" <-IN_to-- "ambassador" vs. hyp "Derek_Plumbly" <-nsubj-- "resides", which aligned to text "been" args have different parents, different relations: text "Egypt" <-dep-- "Derek_Plumbly" vs. hyp "Egypt" <-IN_in-- "resides", which aligned to text "been"
Inference score: -15.2343
Threshold: -6.4435

Inference ID: 17

Passage: Tibone estimated diamond production at four mines operated by Debswana -- Botswana's 50-50 joint venture with De Beers -- could reach 33 million carats this year.

Hypothesis: Botswana is a business partner of De Beers. (yes)

	Botswana NNP	is VBZ	a DT	business NN	partner NN	De_Beers NNP
Tibone:JJ	12.46	11.96	20.00	11.96	11.96	12.46
estimated:VBN	14.08	10.00	20.00	12.82	15.00	15.46
diamond:NN	7.61	10.05	20.00	10.00	8.16	9.06
production:NN	9.03	14.34	20.00	5.45	8.95	10.17
four:CD	24.22	20.50	20.50	20.50	20.50	24.96
mines:NNS	8.57	14.34	20.00	5.00	8.95	10.17
operated:VBN	14.47	10.00	20.00	12.77	13.19	15.46
Debswana:NNP	5.00	15.46	20.50	10.46	10.46	14.96
Botswana:NNP	0.00	14.84	20.50	10.50	9.84	13.17
50-50:JJ	12.22	11.96	20.00	11.96	11.69	12.46
joint_venture:NN	10.17	13.67	20.00	5.43	8.04	7.55
De_Beers:NNP	13.17	14.17	20.50	10.46	9.54	0.00
could:MD	20.46	18.76	10.00	19.96	19.96	20.46
reach:VB	13.02	6.70	20.00	12.82	12.24	14.26
33:CD	24.96	20.46	20.50	20.10	19.48	24.96
million:CD	25.00	20.50	20.50	20.50	20.50	24.96
carats:NNS	8.07	15.00	20.00	10.00	10.00	10.46
this:DT	20.50	20.00	10.00	20.00	20.00	20.50
year:NN	10.50	15.00	20.00	6.52	9.55	10.46
NO_WORD	10.00	1.00	1.00	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -3.5261
Adjunct.dropPosCxt: text adjunct "operated" of "mines" dropped on aligned hyp word "business"; NullPunisher.article: a; NullPunisher.aux: is; RootEntailment.poorlyAlignedRoot: "partner" aligned badly to "diamond"; Structure.parentsMismatch: args have different parents, different relations: text "Botswana" <-poss-- "joint_venture" vs. hyp "Botswana" <-nsubj-- "partner", which aligned to text "diamond" args have different parents, different relations: text "mines" <-IN_at-- "production" vs. hyp "business" <-nn-- "partner", which aligned to text "diamond" args have different parents, different relations: text "De_Beers" <-IN_with-- "joint_venture" vs. hyp "De_Beers" <-IN_of-- "partner", which aligned to text "diamond"
Inference score: -8.1761
Threshold: -6.4435

Inference ID: 23

Passage: His wife Strida won a seat in parliament after forging an alliance with the main anti-Syrian coalition in the recent election.

Hypothesis: Strida elected to parliament. (yes)

	Strida NNP	elected VBN	parliament NN
His:PRP$	12.50	15.00	12.00
wife:NN	10.46	15.00	10.00
Strida:NNP	5.00	15.46	10.46
won:VBD	15.46	7.54	13.84
a:DT	20.50	20.00	20.00
seat:NN	10.46	11.81	7.37
parliament:NN	10.46	11.74	0.00
forging:VBG	15.46	10.00	12.72
an:DT	20.50	20.00	20.00
alliance:NN	10.46	13.13	6.41
the:DT	20.50	20.00	20.00
main:JJ	12.46	11.58	9.77
anti-Syrian:JJ	12.46	10.31	11.26
coalition:NN	10.46	11.02	2.92
the:DT	20.50	20.00	20.00
recent:JJ	12.46	11.62	11.96
election:NN	10.46	1.00	6.16
NO_WORD	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -3.3333
Adjunct.dropPosCxt: text adjunct "recent" of "election" dropped on aligned hyp word "elected"; Structure.argsMismatch: args have different parents but same relations: text "Strida" <-nsubj-- "won vs. hyp "Strida" <-nsubj-- "elected", which aligned to text "election" args have different parents, different relations: text "parliament" <-IN_in-- "won" vs. hyp "parliament" <-IN_to-- "elected", which aligned to text "election"
Inference score: -5.8333
Threshold: -6.4435

Inference ID: 27

Passage: Responding to Scheuer's comments in La Repubblica, the prime minister's office said the analysts' allegations, "beyond being false, are also absolutely incompatible with the contents of the conversation between Prime Minister Silvio Berlusconi and U.S. Ambassador to Rome Mel Sembler."

Hypothesis: Mel Sembler represents the U.S. (yes)

	Mel NNP	Sembler NNP	represents VBZ	the DT	U.S. NNP
Responding:VBG	14.40	14.96	7.45	20.00	14.70
Scheuer:NNP	10.46	10.46	15.46	20.50	14.96
comments:NNS	9.85	9.96	10.45	20.00	7.79
La_Repubblica:NNP	10.46	10.46	15.46	20.50	8.17
the:DT	20.00	20.00	20.00	0.00	20.50
prime_minister:POS	20.00	20.00	20.00	10.00	20.50
office:NN	9.96	9.96	13.59	20.00	8.09
said:VBD	14.03	14.96	6.24	20.00	15.50
the:DT	20.00	20.00	20.00	0.00	20.50
analysts:NNS	9.32	9.96	14.35	20.00	9.84
allegations:NNS	9.77	9.96	15.00	20.00	9.06
being:VBG	14.96	14.96	10.00	20.00	14.84
false:JJ	11.96	11.96	11.96	20.00	12.46
are:VBP	14.96	14.96	10.00	20.00	15.50
also:RB	14.96	14.96	19.96	20.00	15.46
absolutely:RB	13.82	14.96	18.25	20.00	15.04
incompatible:JJ	11.96	11.96	10.90	20.00	11.37
the:DT	20.00	20.00	20.00	0.00	20.50
contents:NNS	9.96	9.96	15.00	20.00	8.63
the:DT	20.00	20.00	20.00	0.00	20.50
conversation:NN	9.58	9.96	15.00	20.00	10.35
Prime_Minister:NNP	9.96	9.96	15.00	20.00	9.84
Silvio_Berlusconi:NNP	10.46	10.46	15.46	20.50	14.96
U.S.:NNP	10.46	10.46	14.58	20.50	0.00
Ambassador:NNP	8.87	9.96	14.46	20.00	4.94
Rome_Mel_Sembler:NNP	0.50	0.50	15.46	20.50	13.17
NO_WORD	10.00	10.00	10.00	1.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -4.3410
NullPunisher.article: the; RootEntailment.poorlyAlignedRoot: "represents" aligned badly to "said"; Structure.parentsMismatch: args have different parents, different relations: text "U.S." <-nn-- "Ambassador" vs. hyp "U.S." <-dobj-- "represents", which aligned to text "said"
Inference score: -9.4410
Threshold: -6.4435

Inference ID: 28

Passage: The upper house of the Russian parliament has approved a controversial bill to tighten state control over non-governmental organisations (NGOs).

Hypothesis: Russian parliament closes NGOs. (don't know)

	Russian JJ	parliament NN	closes VBZ	NGOs NNS
The:DT	20.00	20.00	20.00	20.00
upper:JJ	8.08	9.18	11.14	12.00
house:NN	10.95	4.37	13.35	7.59
the:DT	20.00	20.00	20.00	20.00
Russian:NNP	0.50	5.72	13.35	8.28
parliament:NN	7.22	0.00	13.35	7.46
has:VBZ	10.69	15.00	8.69	15.00
approved:VBN	12.00	13.43	7.31	14.11
a:DT	20.00	20.00	20.00	20.00
controversial:JJ	9.96	10.70	11.17	11.96
bill:NN	9.85	7.72	11.77	9.09
to:TO	20.00	20.00	20.00	20.00
tighten:VB	12.00	15.00	5.98	13.56
state:NN	11.34	7.81	13.07	7.59
control:NN	10.03	7.12	10.98	9.85
non-governmental:JJ	9.96	10.62	11.96	11.46
organizations:NNS	10.69	6.52	10.69	6.17
NGOs:NNP	9.78	7.46	15.00	0.00
NO_WORD	9.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -3.1207
Adjunct.dropPosCxt: text adjunct "organizations" of "tighten" dropped on aligned hyp word "closes"; RootEntailment.poorlyAlignedRoot: "closes" aligned badly to "tighten"; Structure.parentsMismatch: args have different parents, different relations: text "parliament" <-IN_of-- "house" vs. hyp "parliament" <-nsubj-- "closes", which aligned to text "tighten" args have different parents, different relations: text "NGOs" <-abbrev-- "organizations" vs. hyp "NGOs" <-dobj-- "closes", which aligned to text "tighten"
Inference score: -7.6207
Threshold: -6.4435

Inference ID: 32

Passage: Australia has repeatedly sought clemency for Tuong Van Nguyen, 25, who was convicted of smuggling 400 grams (0.9 lb) of heroin from Cambodia through Singapore's Changi airport in 2002. Attorney-General Philip Ruddock criticised the imposition of the death penalty, especially in Nguyen's case which he said had mitigating circumstances.

Hypothesis: Philip Ruddock has been condemned to the death penalty. (don't know)

	Philip_Ruddock NNP	has VBZ	been VBN	condemned VBN	the DT	death_penalty NN
Australia:NNP	14.47	13.02	14.84	15.50	20.50	10.50
has:VBZ	15.17	0.00	9.34	10.00	20.00	13.76
repeatedly:RB	15.46	19.96	19.96	17.29	20.00	14.96
sought:VBN	15.46	10.00	7.74	5.34	20.00	12.69
clemency:RB	15.46	20.00	20.00	17.60	20.00	10.09
Tuong_Van_Nguyen:NNP	9.47	15.17	15.17	15.46	20.50	10.46
25:CD	24.96	19.19	20.50	20.50	20.50	19.42
who:WP	12.50	15.00	15.00	15.00	20.00	12.00
was:VBD	15.17	7.52	0.50	10.00	20.00	15.00
convicted:VBN	14.52	9.34	9.34	7.48	20.00	15.00
smuggling:CD	24.96	20.50	20.50	18.75	20.50	17.60
400:CD	24.96	20.46	20.46	20.46	20.50	20.46
grams:NNS	9.52	13.69	14.34	15.00	20.00	8.92
0.9:CD	24.96	20.46	20.46	20.46	20.50	20.46
lb:NNS	10.46	13.69	15.00	14.87	20.00	8.92
heroin:NN	9.54	14.34	14.34	14.57	20.00	10.00
Cambodia:NNP	14.67	13.02	14.84	12.68	20.50	10.50
Singapore:NNP	14.47	13.02	14.84	14.77	20.50	10.50
Changi:NNP	14.96	15.46	15.46	14.37	20.50	10.46
airport:NN	9.97	14.34	14.34	14.79	20.00	10.00
2002:CD	24.96	20.46	20.46	20.08	20.50	20.46
Attorney-General:NNP	10.46	14.96	14.96	14.59	20.00	9.96
Philip_Ruddock:NNP	0.00	15.17	15.17	15.46	20.50	10.46
criticised:VBD	15.46	10.00	10.00	4.54	20.00	15.00
the:DT	20.50	20.00	20.00	20.00	0.00	20.00
imposition:NN	10.46	15.00	15.00	13.29	20.00	5.09
the:DT	20.50	20.00	20.00	20.00	0.00	20.00
death_penalty:NN	10.46	13.76	15.00	15.00	20.00	0.00
especially:RB	15.46	19.96	19.96	19.13	20.00	14.96
Nguyen:NNP	9.96	15.46	15.46	14.20	20.50	10.46
case:NN	9.52	13.69	14.34	12.64	20.00	7.10
which:WDT	20.50	20.00	20.00	20.00	10.00	20.00
he:PRP	12.50	15.00	15.00	15.00	18.00	12.00
said:VBD	15.46	10.00	6.24	6.87	20.00	13.72
had:VBD	14.52	0.50	7.80	5.68	20.00	15.00
mitigating:VBG	15.46	10.00	10.00	7.17	20.00	15.00
circumstances:NNS	10.46	15.00	15.00	12.26	20.00	8.48
NO_WORD	10.00	1.00	1.00	10.00	1.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -1.7227
Adjunct.dropPosCxt: text adjunct "Tuong_Van_Nguyen" of "sought" dropped on aligned hyp word "condemned"; NullPunisher.aux: been; RootEntailment.poorlyAlignedRoot: "condemned" aligned badly to "sought"; Structure.parentsMismatch: args have different parents, different relations: text "Philip_Ruddock" <-nsubj-- "criticised" vs. hyp "Philip_Ruddock" <-nsubjpass-- "condemned", which aligned to text "sought" args have different parents, different relations: text "death_penalty" <-IN_of-- "imposition" vs. hyp "death_penalty" <-IN_to-- "condemned", which aligned to text "sought" ; Structure.parentsMismatch&Align.veryGood: ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -8.7727
Threshold: -6.4435

Inference ID: 43

Passage: At the other side of the country, Linden, N.J. is part of an industrial corridor of chemical plants and oil refineries that some federal officials refer to as "the most dangerous two miles in America."

Hypothesis: Chemical plants and oil refineries are located in New Jersey. (yes)

	Chemical_plants NNS	oil_refineries NNS	are VBP	located VBN	New_Jersey NNP
the:DT	20.00	20.00	20.00	20.00	20.50
other:JJ	11.96	11.96	11.96	11.96	12.46
side:NN	8.03	8.03	13.69	11.10	8.02
the:DT	20.00	20.00	20.00	20.00	20.50
country:NN	9.34	9.34	15.00	13.59	6.79
Linden:NNP	8.10	8.49	15.50	14.59	9.05
N.J.:NNP	10.46	10.46	15.46	13.80	0.00
is:VBZ	13.67	13.67	0.50	10.00	14.84
part:NN	8.49	8.44	13.69	12.65	8.02
an:DT	20.00	20.00	20.00	20.00	20.50
industrial:JJ	11.96	11.96	11.96	10.10	12.46
corridor:NN	8.03	8.03	15.00	8.40	9.52
chemical_plants:NNS	0.00	4.86	15.00	13.82	9.52
oil:NN	7.99	0.00	15.00	14.48	8.39
refineries:NNS	4.86	0.00	15.00	13.79	9.52
that:IN	20.00	20.00	20.00	20.00	20.50
some:DT	20.00	20.00	20.00	20.00	20.50
federal_officials:NNS	8.95	8.95	15.00	15.00	9.55
refer:VBP	13.82	15.00	10.00	7.65	15.46
to:TO	20.00	20.00	20.00	20.00	20.50
``:``	20.00	20.00	20.00	20.00	20.50
the:DT	20.00	20.00	20.00	20.00	20.50
most:RBS	14.96	14.96	19.96	19.96	15.46
dangerous:JJ	11.96	11.96	11.96	11.89	12.46
two:CD	20.50	20.50	16.96	20.50	24.96
in:IN	20.00	20.00	20.00	20.00	20.50
NO_WORD	10.00	10.00	1.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -2.5298
NullPunisher.aux: are; RootEntailment.poorlyAlignedRoot: "located" aligned badly to "refer"; Structure.parentsMismatch: args have different parents, different relations: text "chemical_plants" <-IN_of-- "corridor" vs. hyp "Chemical_plants" <-nsubjpass-- "located", which aligned to text "refer" args have different parents, different relations: text "N.J." <-nsubj-- "part" vs. hyp "New_Jersey" <-IN_in-- "located", which aligned to text "refer" ; Location.mismatch: no clear info of matching: locate(X, IN_in)
Inference score: -9.5798
Threshold: -6.4435

Inference ID: 46

Passage: State police said Greater Johnstown-Cambria County Convention and Visitors Bureau kept $52,574.11 from Thunder in the Valley 2005 beer sales that should have gone to two volunteer fire companies.

Hypothesis: Greater Johnstown-Cambria County Convention and Visitors Bureau funded two volunteer fire companies. (don't know)

	Greater NNP	Johnstown-Cambria_County NNP	Convention NNP	Visitors_Bureau NNP	funded VBD	two CD	volunteer NN	fire_companies NNS
State:NNP	9.96	8.67	7.81	8.42	12.09	20.50	7.74	7.59
police:NNS	9.59	10.46	7.81	7.53	12.59	20.36	7.46	7.59
said:VBD	14.96	15.46	14.58	15.46	10.00	20.50	11.87	13.72
Greater:NNP	0.00	10.46	9.96	10.46	14.96	20.14	9.96	9.96
Johnstown-Cambria_County:NNP	10.46	0.00	10.46	14.67	15.46	24.96	10.17	10.17
Convention:NNP	9.96	10.46	0.00	9.41	12.81	19.19	7.99	7.81
Visitors_Bureau:NNP	10.46	14.67	9.41	0.00	14.29	24.96	9.52	7.09
kept:VBD	14.96	15.17	15.00	14.52	6.06	18.04	13.07	13.04
$:$	20.50	25.00	19.88	25.00	19.17	25.00	20.50	20.50
52,574.11:CD	20.46	24.96	20.46	24.96	20.46	10.00	20.46	20.46
Thunder:NNP	9.96	10.17	7.64	9.54	10.00	20.50	7.74	8.45
the:DT	20.00	20.50	20.00	20.50	20.00	20.50	20.00	20.00
Valley:NNP	9.66	10.17	7.18	9.97	14.73	19.68	8.95	9.47
2005:CD	20.16	24.96	20.46	24.96	19.24	10.00	20.26	20.46
beer:NN	9.96	10.17	8.01	9.54	15.00	20.31	8.08	8.67
sales:NNS	9.96	10.46	10.00	10.46	9.43	20.50	10.00	10.00
that:WDT	20.00	20.50	20.00	20.50	20.00	20.50	20.00	20.00
should:MD	19.96	20.46	19.96	20.46	19.96	20.46	19.96	19.96
have:VB	14.96	15.17	15.00	14.52	7.02	20.50	12.80	13.66
gone:VBN	14.96	15.17	13.35	14.54	8.69	16.17	13.07	13.81
two:CD	20.14	24.96	19.19	24.96	19.19	0.00	19.92	19.84
volunteer:NN	9.96	10.17	7.99	9.52	12.94	19.92	0.00	8.90
fire_companies:NNS	9.96	10.17	7.81	7.09	12.59	19.84	8.90	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -1.0074
Factive.unknownPassage: non factive text -- unknown: said-VBD-0:3; Adjunct.dropPosCxt: text adjunct "sales" of "kept" dropped on aligned hyp word "funded"; RootEntailment.poorlyAlignedRoot: "funded" aligned badly to "kept"; Structure.parentsMismatch: args have different parents, different relations: text "fire_companies" <-IN_to-- "gone" vs. hyp "fire_companies" <-dobj-- "funded", which aligned to text "kept" ; Structure.parentsMismatch&Align.veryGood: ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -7.5074
Threshold: -6.4435

Inference ID: 58

Passage: Across the Atlantic, on July 13, a radical Islamic cleric named Ali Al-Timimi was sentenced to life in prison, in Virginia, for soliciting treason.

Hypothesis: Ali Al-Timimi is imprisoned in Virginia. (yes)

	Ali_Al-Timimi NNP	is VBZ	imprisoned VBN	Virginia NNP
the:DT	20.50	20.00	20.00	20.50
Atlantic:NNP	14.67	14.84	15.50	7.66
July:NNP	14.96	15.50	15.36	14.78
13:CD	24.96	20.50	19.50	24.64
a:DT	20.50	20.00	20.00	20.50
radical:JJ	11.52	9.34	9.52	11.84
Islamic:JJ	12.46	11.96	6.98	11.75
cleric:NN	9.52	14.34	9.59	9.84
named:VBD	14.52	5.51	7.85	14.84
Ali_Al-Timimi:NNP	0.00	15.17	15.46	14.67
was:VBD	15.17	0.50	10.00	10.00
sentenced:VBN	15.46	10.00	3.67	15.50
life:NN	9.52	14.34	13.06	9.77
prison:NN	9.97	14.34	8.65	9.54
Virginia:NNP	14.67	14.84	15.50	0.00
soliciting:VBG	15.46	8.07	9.23	14.44
treason:NN	10.46	15.00	8.42	9.77
NO_WORD	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -1.0420
Factive.inPositiveEmbedding: embedded positive text; Adjunct.dropPosCxt: text adjunct "soliciting" of "sentenced" dropped on aligned hyp word "imprisoned"; Adjunct.dropPosCxt&Align.veryGood:
Inference score: 0.9580
Threshold: -6.4435

Inference ID: 62

Passage: Robert Tuttle told the BBC there was no evidence of "extraordinary renditions" to Syria, which has been criticised by Washington for its human rights record.

Hypothesis: Robert Tuttle works for the BBC. (don't know)

	Robert_Tuttle NNP	works VBZ	the DT	BBC NNP
Robert_Tuttle:NNP	0.00	14.97	20.50	14.96
told:VBD	12.69	8.95	20.00	14.22
the:DT	20.50	20.00	0.00	20.50
BBC:NNP	14.96	14.50	20.50	0.00
there:RB	15.17	19.34	20.00	15.46
was:VBD	15.17	9.34	20.00	15.46
no:DT	20.50	20.00	10.00	20.50
evidence:NN	10.46	15.00	20.00	10.46
extraordinary:JJ	12.46	9.59	20.00	11.32
renditions:NNS	10.46	12.55	20.00	9.12
Syria:NNP	14.67	14.84	20.50	14.96
which:WDT	20.50	20.00	10.00	20.50
has:VBZ	15.17	9.34	20.00	15.46
been:VBN	15.17	9.34	20.00	15.46
criticised:VBN	15.46	9.92	20.00	15.30
Washington:NNP	14.02	14.45	20.50	14.96
its:PRP$	12.50	15.00	20.00	12.50
human:JJ	11.52	9.62	20.00	12.46
rights:NNS	10.17	13.35	20.00	10.39
record:NN	9.97	11.40	20.00	10.46
NO_WORD	10.00	10.00	1.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -2.7364
RootEntailment.poorlyAlignedRoot: "works" aligned badly to "told"; Structure.parentsMismatch: args have different parents, different relations: text "BBC" <-nsubj-- "evidence" vs. hyp "BBC" <-IN_for-- "works", which aligned to text "told"
Inference score: -7.7364
Threshold: -6.4435

Inference ID: 63

Passage: Saddam Hussein accepted an 11th-hour offer to flee into exile weeks ahead of the U.S.-led 2003 invasion, but Arab League officials scuttled the proposal, officials in this Gulf state claimed.

Hypothesis: Saddam Hussein accepted exile. (yes)

	Saddam_Hussein NNP	accepted VBD	exile NN
Saddam_Hussein:NNP	0.00	15.50	8.55
accepted:VBD	15.50	0.00	14.55
an:DT	20.50	20.00	20.00
11th-hour:JJ	12.46	11.96	11.96
offer:NN	10.50	11.87	7.65
to:TO	20.50	20.00	20.00
flee:VB	15.50	10.00	11.48
exile:NN	8.55	14.55	0.00
weeks:NNS	10.50	12.99	9.80
ahead:RB	15.46	19.96	14.96
the:DT	20.50	20.00	20.00
U.S.-led:JJ	12.46	11.96	11.90
2003:CD	24.96	19.19	20.46
invasion:NN	10.50	14.05	5.50
Arab_League:NNP	14.02	15.50	9.52
officials:NNS	8.55	13.75	8.05
scuttled:VBD	14.45	9.00	13.95
the:DT	20.50	20.00	20.00
proposal:NN	10.50	12.76	8.35
officials:NNS	8.55	13.75	8.05
this:DT	20.50	20.00	20.00
Gulf:NNP	9.84	13.93	7.32
state:NN	9.84	13.07	9.34
claimed:VBD	15.50	7.95	12.65
NO_WORD	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -0.6667
Structure.parentsMismatch: args have different parents, different relations: text "exile" <-nn-- "weeks" vs. hyp "exile" <-dobj-- "accepted", which aligned to text "accepted" ; Structure.parentsMismatch&Align.veryGood:
Inference score: -6.6667
Threshold: -6.4435

Inference ID: 65

Passage: Nguyen's lawyer, Lex Lasry, told Australian television from Singapore that Nguyen, a Catholic whose family came from Vietnam, was "ready to die".

Hypothesis: Nguyen is a lawyer. (don't know)

	Nguyen NNP	is VBZ	a DT	lawyer NN
Nguyen:NNP	0.00	15.46	20.50	9.74
lawyer:NN	9.74	14.34	20.00	0.00
Lex_Lasry:NNP	9.96	15.46	20.50	10.46
told:VBD	13.88	7.74	20.00	13.02
Australian:JJ	11.57	11.34	20.00	10.05
television:NN	10.46	14.34	20.00	8.95
Singapore:NNP	12.52	14.84	20.50	8.87
that:IN	20.50	20.00	20.00	20.00
Nguyen:NNP	5.00	15.46	20.50	9.74
a:DT	20.50	20.00	0.00	20.00
Catholic:NNP	12.47	14.84	20.50	8.55
whose:WP$	12.50	15.00	20.00	12.00
family:NN	7.45	14.34	20.00	7.68
came:VBD	14.59	6.28	20.00	14.17
Vietnam:NNP	12.67	14.84	20.50	9.84
was:VBD	15.46	0.50	20.00	14.34
ready:JJ	12.46	12.00	20.00	12.00
to:TO	20.50	20.00	10.00	20.00
die:NN	9.68	13.07	20.00	8.95
NO_WORD	10.00	1.00	1.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -1.0000
Factive.unknownPassage: non factive text -- unknown: told-VBD-0:7; Adjunct.dropPosCxt: text adjunct "Lex_Lasry" of "lawyer" dropped on aligned hyp word "lawyer"; NullPunisher.aux: is; NullPunisher.article: a; Structure.relMismatch: text "Nguyen" is poss of "lawyer" while hyp "Nguyen" is nsubj of "lawyer" which aligned to text "lawyer" ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -0.6500
Threshold: -6.4435

Inference ID: 70

Passage: Both aftershocks had their epicentre around the Nicobar island group in the south of archipelago that lies close to Indonesia, India's Meteorological Department said.

Hypothesis: India's Meteorological Department operates from Indonesia. (don't know)

	India NNP	Meteorological_Department NNP	operates VBZ	Indonesia NNP
Both:DT	20.50	20.50	20.00	20.50
aftershocks:NNS	7.84	10.46	15.00	8.81
had:VBD	14.84	15.17	6.51	14.84
their:PRP$	12.50	12.50	15.00	12.50
epicentre:NN	8.02	9.26	15.00	8.02
the:DT	20.50	20.50	20.00	20.50
Nicobar:NNP	10.46	10.46	14.96	10.46
island:NN	7.61	9.06	13.08	7.61
group:NN	9.84	9.56	14.41	9.32
the:DT	20.50	20.50	20.00	20.50
south:NN	6.95	9.06	11.71	6.46
archipelago:NN	7.47	10.17	12.44	6.27
that:WDT	20.50	20.50	20.00	20.50
lies:VBZ	13.02	14.26	9.31	13.02
close:JJ	12.46	12.46	11.62	12.50
Indonesia:NNP	2.86	13.17	15.23	0.00
India:NNP	0.00	13.17	14.89	2.86
Meteorological_Department:NNP	13.17	0.00	15.46	13.17
said:VBD	15.50	15.46	7.65	14.91
NO_WORD	10.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -2.4123
RootEntailment.poorlyAlignedRoot: "operates" aligned badly to "said"; Structure.parentsMismatch: args have different parents, different relations: text "Indonesia" <-IN_to-- "close" vs. hyp "Indonesia" <-IN_from-- "operates", which aligned to text "said"
Inference score: -7.4123
Threshold: -6.4435

Inference ID: 72

Passage: United failed to progress beyond the group stages of the Champions League and trail in the Premiership title race, sparking rumours over its future.

Hypothesis: United won the Champions League. (don't know)

	United NNP	won VBD	the DT	Champions NNP	League NNP
United:NNP	0.00	15.49	20.50	10.14	4.80
failed:VBD	12.08	7.82	20.00	15.00	15.00
to:TO	20.50	20.00	10.00	20.00	20.00
progress:VB	13.11	10.00	20.00	15.00	14.45
the:DT	20.50	20.00	0.00	20.00	20.00
group:NN	10.35	13.53	20.00	8.07	4.00
stages:NNS	10.07	12.84	20.00	8.95	7.84
the:DT	20.50	20.00	0.00	20.00	20.00
Champions:NNP	10.14	8.40	20.00	0.00	3.13
League:NNP	4.80	11.37	20.00	3.13	0.00
trail:VB	15.50	10.00	20.00	13.95	15.00
the:DT	20.50	20.00	0.00	20.00	20.00
Premiership:NNP	9.69	14.88	20.00	10.00	9.51
title:NN	10.40	11.52	20.00	3.53	5.91
race:NN	10.50	10.95	20.00	7.20	8.13
sparking:VBG	15.50	7.84	20.00	13.05	12.84
rumors:NNS	10.50	15.00	20.00	8.07	9.02
its:PRP$	12.50	15.00	20.00	12.00	12.00
future:NN	10.10	13.69	20.00	8.95	8.13
NO_WORD	10.00	10.00	1.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -1.9646
Adjunct.dropPosCxt: text adjunct "sparking" of "failed" dropped on aligned hyp word "won"; Antonym.samePol: matching polarity with antonyms: won & failed; RootEntailment.poorlyAlignedRoot: "won" aligned badly to "failed"; Structure.parentsMismatch: args have different parents, different relations: text "League" <-IN_of-- "stages" vs. hyp "League" <-dobj-- "won", which aligned to text "failed"
Inference score: -14.4646
Threshold: -6.4435

Inference ID: 73

Passage: Mugabe arrived in Beijing on Saturday and toured the northeastern province of Jilin, visiting the headquarters of First Automotive Works Group, China's top vehicle maker.

Hypothesis: First Automotive Works Group is based in China. (yes)

	First_Automotive_Works_Group NNP	is VBZ	based VBN	China NNP
Mugabe:NNP	14.96	15.46	15.46	14.74
arrived:VBD	15.46	10.00	10.00	14.85
Beijing:NNP	14.67	14.84	13.02	1.39
Saturday:NNP	13.92	15.50	13.34	15.00
toured:VBD	14.42	10.00	7.84	13.77
the:DT	20.50	20.00	20.00	20.50
northeastern:JJ	12.46	11.96	11.06	10.59
province:NN	9.22	14.34	12.52	6.83
Jilin:NNP	14.96	15.46	15.46	7.77
visiting:VBG	14.68	10.00	9.85	13.33
the:DT	20.50	20.00	20.00	20.50
headquarters:NN	9.03	14.34	7.39	8.53
First_Automotive_Works_Group:NNP	0.00	14.40	13.36	13.56
China:NNP	13.56	14.84	12.62	0.00
top:JJ	11.03	8.70	6.56	10.02
vehicle:NN	9.06	14.34	12.12	7.62
maker:NN	9.56	14.34	12.47	9.45
NO_WORD	10.00	1.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -2.8892
Adjunct.dropPosCxt: text adjunct "maker" of "First_Automotive_Works_Group" dropped on aligned hyp word "First_Automotive_Works_Group"; NullPunisher.aux: is; RootEntailment.poorlyAlignedRoot: "based" aligned badly to "top"; Structure.argsMismatch: args have different parents but same relations: text "China" <-poss-- "maker vs. hyp "China" <-IN_in-- "based", which aligned to text "top" args have different parents, different relations: text "First_Automotive_Works_Group" <-IN_of-- "headquarters" vs. hyp "First_Automotive_Works_Group" <-nsubjpass-- "based", which aligned to text "top"
Inference score: -7.4392
Threshold: -6.4435

Inference ID: 75

Passage: Three days after PeopleSoft bought JD Edwards in June 2003, Oracle began its offer for PeopleSoft.

Hypothesis: JD Edwards belongs to PeopleSoft. (yes)

	JD_Edwards NNP	belongs VBZ	PeopleSoft NNP
Three:CD	24.96	20.50	24.96
days:NNS	10.46	15.00	10.46
after:IN	20.50	20.00	20.50
PeopleSoft:NNP	9.96	15.46	0.00
bought:VBD	15.46	7.54	15.46
JD:NNP	0.50	14.96	10.46
Edwards:NNP	0.50	15.00	9.55
June:NNP	14.96	15.44	14.96
2003:CD	24.96	20.46	24.96
Oracle:NNP	7.16	15.50	5.09
began:VBD	14.52	8.33	15.46
its:PRP$	12.50	15.00	12.50
offer:NN	10.46	11.70	9.96
PeopleSoft:NNP	9.96	15.46	0.00
NO_WORD	10.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -4.0131
Adjunct.dropPosCxt: text adjunct "June" of "Edwards" dropped on aligned hyp word "JD_Edwards"; RootEntailment.poorlyAlignedRoot: "belongs" aligned badly to "bought"; Structure.relMismatch: text "Edwards" is dobj of "bought" while hyp "JD_Edwards" is nsubj of "belongs" which aligned to text "bought" text "PeopleSoft" is nsubj of "bought" while hyp "PeopleSoft" is IN_to of "belongs" which aligned to text "bought"
Inference score: -6.5131
Threshold: -6.4435

Inference ID: 83

Passage: Earlier this year, 78 local, state and federal agencies took part in a chemical attack drill, called "Rotunda Thunda," at the Las Vegas Convention Center and the Strip.

Hypothesis: State and federal agencies took part in a chemical attack. (don't know)

	State NN	federal JJ	agencies NNS	took_part VBD	a DT	chemical NN	attack NN
Earlier:RBR	14.62	11.83	14.96	19.96	20.00	14.58	14.96
this:DT	20.00	20.00	20.00	20.00	10.00	20.00	20.00
year:NN	7.81	11.21	7.81	14.34	20.00	10.00	8.69
78:CD	20.46	20.46	20.46	20.46	20.50	18.90	20.05
local:JJ	6.97	7.58	7.60	11.47	20.00	11.34	12.00
state:NN	0.00	7.84	5.85	12.94	20.00	9.34	6.94
federal:JJ	7.84	0.00	7.76	11.47	20.00	11.34	12.00
agencies:NNS	5.85	7.76	0.00	13.72	20.00	10.00	7.38
took_part:VBD	12.94	11.47	13.72	0.00	20.00	14.67	13.07
a:DT	20.00	20.00	20.00	20.00	0.00	20.00	20.00
chemical:JJ	11.34	9.34	12.00	11.67	20.00	0.00	9.93
attack:NN	6.94	12.00	7.38	13.07	20.00	7.93	0.00
drill:NN	7.74	10.11	8.35	12.64	20.00	5.15	7.72
called:VBN	12.74	10.95	12.38	7.84	20.00	14.34	11.82
Rotunda_Thunda:NNP	10.17	11.97	10.46	14.97	20.50	10.17	10.46
the:DT	20.00	20.00	20.00	20.00	10.00	20.00	20.00
Las_Vegas_Convention_Center:NNP	8.07	11.52	9.41	13.78	20.50	9.17	9.05
the:DT	20.00	20.00	20.00	20.00	10.00	20.00	20.00
Strip:NNP	7.90	10.95	8.35	12.13	20.00	7.52	7.10
NO_WORD	10.00	9.00	10.00	10.00	1.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -1.2857
Adjunct.dropPosCxt: text adjunct "drill" of "took_part" dropped on aligned hyp word "took_part"; NullPunisher.article: a; Structure.parentsMismatch: args have different parents, different relations: text "attack" <-nn-- "drill" vs. hyp "attack" <-IN_in-- "took_part", which aligned to text "took_part" ; Structure.parentsMismatch&Align.veryGood: ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -6.3857
Threshold: -6.4435

Inference ID: 84

Passage: Salvadoran reporter Mauricio Pineda, a sound technician for the local canal Doce television station, was shot and killed today in Morazan department in the eastern part of the country.

Hypothesis: Mauricio Pineda was killed in Morazan. (yes)

	Mauricio_Pineda NNP	was VBD	killed VBN	Morazan NNP
Salvadoran:NNP	14.96	14.84	9.23	9.96
reporter:NN	10.46	14.34	15.00	10.46
Mauricio_Pineda:NNP	0.00	15.46	15.46	14.96
a:DT	20.50	20.00	20.00	20.50
sound:JJ	12.46	11.34	10.33	12.46
technician:NN	10.46	14.34	12.78	10.46
the:DT	20.50	20.00	20.00	20.50
local:JJ	12.46	11.34	11.79	12.46
canal:NNP	10.46	14.34	15.00	10.46
Doce:NNP	14.96	15.46	15.13	14.96
television_station:NN	10.46	13.76	13.82	10.46
was:VBD	15.46	0.00	10.00	15.46
shot:VBN	15.46	9.34	6.42	15.46
killed:VBN	15.46	10.00	0.00	15.46
today:NN	10.46	15.00	15.00	10.46
Morazan:NNP	14.96	15.46	15.46	0.00
department:NN	10.46	11.33	14.52	10.46
the:DT	20.50	20.00	20.00	20.50
eastern:JJ	12.46	11.96	11.96	12.46
part:NN	10.46	12.52	12.65	10.46
the:DT	20.50	20.00	20.00	20.50
country:NN	10.46	11.33	13.58	10.46
NO_WORD	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -1.2500
Adjunct.dropPosCxt: text adjunct "technician" of "Mauricio_Pineda" dropped on aligned hyp word "Mauricio_Pineda"; NullPunisher.aux: was; Structure.argsMismatch: args have different parents but same relations: text "Mauricio_Pineda" <-nsubjpass-- "shot vs. hyp "Mauricio_Pineda" <-nsubjpass-- "killed", which aligned to text "killed" args have different parents, different relations: text "Morazan" <-nn-- "department" vs. hyp "Morazan" <-IN_in-- "killed", which aligned to text "killed" ; Structure.argsMismatch&Align.veryGood: ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -6.3000
Threshold: -6.4435

Inference ID: 85

Passage: At the same time, anti-virus firm Kaspersky Labs branded the XCP program spyware, because it hides itself, could compromise security and can slow machines down.

Hypothesis: Kaspersky Labs' anti-virus software could compromise security. (don't know)

	Kaspersky_Labs NNP	anti-virus JJ	software NN	could MD	compromise VB	security NN
the:DT	20.50	20.00	20.00	10.00	20.00	20.00
same:JJ	12.46	9.96	11.96	19.96	11.96	11.96
time:NN	10.46	11.96	8.69	19.96	12.62	7.90
anti-virus:JJ	12.46	0.00	10.24	19.96	11.96	11.91
firm:NN	10.46	11.96	9.60	19.96	12.62	7.59
Kaspersky_Labs:NNP	5.00	12.46	10.46	20.46	15.46	10.17
branded:VBD	15.17	11.96	12.85	19.96	7.62	11.40
the:DT	20.50	20.00	20.00	10.00	20.00	20.00
XCP:NNP	9.96	12.46	10.46	20.46	15.46	10.46
program:NN	10.46	10.36	4.07	19.96	11.45	6.44
spyware:NN	10.46	11.96	9.96	19.96	14.96	9.96
because:IN	20.50	20.00	20.00	20.00	20.00	20.00
it:PRP	12.50	15.00	12.00	20.00	15.00	12.00
hides:VBZ	15.17	11.96	14.92	19.96	7.62	12.56
it:PRP	12.50	15.00	12.00	20.00	15.00	12.00
could:MD	20.46	19.96	19.96	0.00	19.96	19.96
compromise:VB	15.46	11.96	12.85	19.96	0.00	12.10
security:NN	10.17	11.91	6.83	19.96	12.10	0.00
can:MD	20.17	19.96	17.85	9.96	17.85	17.12
slow:VB	15.46	11.47	14.09	19.96	10.00	15.00
machines:NNS	10.17	11.96	3.13	19.96	14.66	6.40
down:RP	20.17	19.96	20.00	9.96	17.62	18.35
NO_WORD	10.00	9.00	10.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -2.3545
Factive.inPositiveEmbedding: embedded positive text; Adjunct.dropPosCxt: text adjunct "firm" of "Kaspersky_Labs" dropped on aligned hyp word "Kaspersky_Labs"; Modal.weakYes: possible -> possible; Structure.relMismatch: noun args have different parents but same relations: "anti-virus": "Kaspersky_Labs" vs. "software"
Inference score: -0.8545
Threshold: -6.4435

Inference ID: 86

Passage: Booker T. and Sharmell, two African-American WWE superstars, were involved in the segment.

Hypothesis: Brooker T. and Sharmell are organizers of African-American WWE. (don't know)

	Brooker_T. NNP	Sharmell NNP	are VBP	organizers NNS	African-American NNP	WWE NNP
Booker_T.:NNP	0.00	9.96	15.46	7.45	9.52	10.46
Sharmell:NNP	9.96	0.00	15.46	10.46	10.46	10.46
two:CD	24.96	24.96	16.96	19.91	20.34	20.46
African-American:NNP	10.46	10.46	15.00	8.05	0.00	9.96
WWE:NNP	10.46	10.46	14.96	9.96	9.96	0.00
superstars:NNS	10.46	10.46	15.00	8.05	8.05	9.96
were:VBD	15.46	15.46	0.50	14.34	14.34	14.96
involved:VBN	15.46	15.46	10.00	13.89	13.04	14.96
the:DT	20.50	20.50	20.00	20.00	20.00	20.00
segment:NN	10.46	10.46	15.00	8.74	8.95	9.96
NO_WORD	10.00	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -2.5083
Adjunct.dropPosCxt: text adjunct "two" of "superstars" dropped on aligned hyp word "organizers"; NullPunisher.aux: are; RootEntailment.poorlyAlignedRoot: "organizers" aligned badly to "superstars"; Structure.parentsMismatch: args have different parents, different relations: text "Booker_T." <-nsubjpass-- "involved" vs. hyp "Brooker_T." <-nsubj-- "organizers", which aligned to text "superstars"
Inference score: -7.0583
Threshold: -6.4435

Inference ID: 87

Passage: The LMI was set up by Mr. Torvalds with John Hall as non-profit organization to license the use of the word Linux.

Hypothesis: Mr. Torvalds is a partner of John Hall. (yes)

	Mr._Torvalds NNP	is VBZ	a DT	partner NN	John_Hall NNP
The:DT	20.50	20.00	10.00	20.00	20.50
LMI:NNP	14.96	15.46	20.50	10.46	14.96
was:VBD	15.46	0.50	20.00	14.34	15.17
set_up:VBN	15.46	7.80	20.00	11.08	12.16
Mr._Torvalds:NNP	0.00	15.46	20.50	10.46	9.96
John_Hall:NNP	9.96	15.17	20.50	9.52	0.00
non-profit:JJ	12.46	11.96	20.00	11.37	12.46
organization:NN	10.46	15.00	20.00	8.94	9.41
to:TO	20.50	20.00	10.00	20.00	20.50
license:VB	15.46	8.07	20.00	13.07	13.89
the:DT	20.50	20.00	10.00	20.00	20.50
use:NN	10.46	9.62	20.00	8.07	9.23
the:DT	20.50	20.00	10.00	20.00	20.50
word:NN	10.46	11.24	20.00	8.07	7.07
Linux:NNP	9.96	15.50	20.50	10.50	8.42
NO_WORD	10.00	1.00	1.00	10.00	10.00

Response: dontknow (INCORRECT)
Justification:
Alignment score: -2.8134
Adjunct.dropPosCxt: text adjunct "organization" of "John_Hall" dropped on aligned hyp word "John_Hall"; Quant.contract: [the,a]; NullPunisher.aux: is; NullPunisher.article: a; RootEntailment.poorlyAlignedRoot: "partner" aligned badly to "use"; Structure.argsMismatch: args have different parents but same relations: text "Mr._Torvalds" <-agent-- "set_up vs. hyp "Mr._Torvalds" <-nsubj-- "partner", which aligned to text "use" args have different parents, different relations: text "John_Hall" <-IN_with-- "set_up" vs. hyp "John_Hall" <-IN_of-- "partner", which aligned to text "use"
Inference score: -6.4634
Threshold: -6.4435

Inference ID: 89

Passage: Baldwin has instructed at numerous baseball camps across the country, including Notre Dame, LSU, Mississippi State, Illinois, Army, Old Dominion, Butler, Dartmouth, Southern Maryland and the Best in Virginia camp.

Hypothesis: Butler has joined the Army. (don't know)

	Butler NNP	has VBZ	joined VBN	the DT	Army NNP
Baldwin:NNP	8.04	14.84	15.50	20.50	13.80
has:VBZ	14.84	0.00	5.41	20.00	15.50
instructed:VBN	15.42	10.00	9.08	20.00	14.06
numerous:JJ	12.46	11.96	10.11	20.00	12.29
baseball:NN	9.45	14.34	15.00	20.00	10.50
camps:NNS	9.45	12.52	13.13	20.00	4.87
the:DT	20.50	20.00	20.00	0.00	20.50
country:NN	9.84	12.52	13.13	20.00	8.09
including:VBG	15.50	10.00	6.66	20.00	14.95
Notre:NNP	10.12	14.96	14.23	20.00	9.17
Dame:NNP	8.55	14.34	14.15	20.00	9.00
LSU:NNP	13.99	15.46	15.46	20.50	9.27
Mississippi_State:NNP	14.67	14.26	14.56	20.50	8.79
Illinois:NNP	13.05	13.02	14.19	20.50	15.00
Army:NNP	15.00	15.50	13.63	20.50	0.00
Old_Dominion:NNP	9.34	13.02	14.56	20.50	13.79
Butler:NNP	0.00	14.84	14.64	20.50	15.00
Dartmouth:NNP	13.63	14.84	13.34	20.50	13.21
Southern_Maryland:NNP	14.67	14.26	15.46	20.50	14.96
the:DT	20.50	20.00	20.00	0.00	20.50
Best:NNP	13.05	14.84	15.02	20.50	9.78
Virginia:NNP	14.34	13.02	14.11	20.50	13.50
camp:NN	8.72	12.52	13.03	20.00	7.02
NO_WORD	10.00	1.00	10.00	1.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -2.2828
NullPunisher.article: the; NullPunisher.aux: has; RootEntailment.poorlyAlignedRoot: "joined" aligned badly to "has"; Structure.parentsMismatch: args have different parents, different relations: text "Butler" <-dep-- "Southern_Maryland" vs. hyp "Butler" <-nsubj-- "joined", which aligned to text "has" args have different parents, different relations: text "Army" <-dep-- "Southern_Maryland" vs. hyp "Army" <-dobj-- "joined", which aligned to text "has"
Inference score: -7.4328
Threshold: -6.4435

Inference ID: 96

Passage: Federal Education Minister Brendan Nelson has been criticised at a national conference in Perth for damaging the overseas reputation of Australian schools.

Hypothesis: Brendan Nelson criticised the Federal Education Minister. (don't know)

	Brendan_Nelson NNP	criticised VBD	the DT	Federal NNP	Education NNP	Minister NNP
Federal:NNP	8.49	13.89	20.00	0.00	8.46	4.64
Education:NNP	10.46	15.00	20.00	8.46	0.00	5.97
Minister:NNP	8.49	11.97	20.00	4.64	5.97	0.00
Brendan_Nelson:NNP	0.00	15.46	20.50	8.49	10.46	8.49
has:VBZ	15.17	10.00	20.00	14.34	12.53	14.34
been:VBN	15.17	10.00	20.00	14.34	15.00	14.34
criticised:VBN	15.46	0.00	20.00	13.89	15.00	11.97
a:DT	20.50	20.00	10.00	20.00	20.00	20.00
national:JJ	11.52	9.46	20.00	9.03	11.21	10.05
conference:NN	10.46	13.37	20.00	10.00	7.59	8.21
Perth:NNP	14.67	13.47	20.50	9.84	10.09	9.84
damaging:VBG	15.46	10.00	20.00	15.00	12.72	12.72
the:DT	20.50	20.00	0.00	20.00	20.00	20.00
overseas:JJ	12.46	11.96	20.00	11.96	11.96	11.96
reputation:NN	10.46	15.00	20.00	10.00	7.82	10.00
Australian:JJ	11.52	9.52	20.00	6.50	10.69	8.37
schools:NNS	9.97	15.00	20.00	8.95	1.62	8.95
NO_WORD	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -1.5000
Adjunct.dropPosCxt: text adjunct "damaging" of "criticised" dropped on aligned hyp word "criticised"; NullPunisher.article: the; Structure.clearBadness: for predicate criticised, text undergoer set [] overlaps hyp actor set [Minister]; Structure.relMismatch: text "Brendan_Nelson" is nsubjpass of "criticised" while hyp "Brendan_Nelson" is nsubj of "criticised" which aligned to text "criticised" ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -4.6000
Threshold: -6.4435

Inference ID: 98

Passage: Mr. Fitzgerald revealed he was one of several top officials who told Mr. Libby in June 2003 that Valerie Plame, wife of the former ambassador Joseph Wilson, worked for the CIA.

Hypothesis: Valerie Plame is married to Joseph Wilson. (yes)

	Valerie_Plame NNP	is VBZ	married VBN	Joseph_Wilson NNP
Mr._Fitzgerald:NNP	9.96	15.17	15.46	6.97
revealed:VBD	15.46	7.74	8.07	15.46
he:PRP	12.50	15.00	15.00	12.50
was:VBD	15.46	0.50	10.00	14.26
one:CD	24.96	20.50	20.50	24.96
several:JJ	12.46	11.96	11.96	12.46
top:JJ	12.46	8.70	11.82	8.72
officials:NNS	10.46	14.34	15.00	8.49
who:WP	12.50	15.00	15.00	12.50
told:VBD	15.46	7.74	7.54	14.52
Mr._Libby:NNP	9.96	15.17	15.46	7.18
June:NNP	14.96	15.50	15.10	14.96
2003:CD	24.96	20.46	20.46	24.96
that:IN	20.50	20.00	20.00	20.50
Valerie_Plame:NNP	0.00	15.46	15.46	9.96
wife:NN	10.46	14.34	7.52	8.48
the:DT	20.50	20.00	20.00	20.50
former:JJ	12.46	12.00	12.00	12.46
ambassador:NN	10.46	14.34	13.07	7.41
Joseph_Wilson:NNP	9.96	15.17	15.46	0.00
worked:VBD	15.46	8.07	5.72	13.52
the:DT	20.50	20.00	20.00	20.50
CIA:NNP	14.96	15.50	15.00	14.96
NO_WORD	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.6808
Factive.unknownPassage: non factive text -- unknown: told-VBD-0:11; Adjunct.dropPosCxt: text adjunct "ambassador" of "Joseph_Wilson" dropped on aligned hyp word "Joseph_Wilson"; NullPunisher.aux: is; RootEntailment.poorlyAlignedRoot: "married" aligned badly to "worked"; Structure.relMismatch: text "Valerie_Plame" is nsubj of "worked" while hyp "Valerie_Plame" is nsubjpass of "married" which aligned to text "worked"
Inference score: -4.7308
Threshold: -6.4435

Inference ID: 105

Passage: General Dynamics, the maker of land combat systems, warships and Gulfstream business jets, reported net earnings of $374m in the third quarter, or $1.84 per share, driven by a strong demand for communications and intelligence systems and a booming market in corporate jets.

Hypothesis: General Dynamics makes Gulfstream business jets. (yes)

	General_Dynamics NNP	makes VBZ	Gulfstream NNP	business NN	jets NNS
General_Dynamics:NNP	0.00	13.90	9.96	8.15	10.46
the:DT	20.50	20.00	20.50	20.00	20.00
maker:NN	9.23	2.50	9.44	5.94	10.00
land:NN	9.52	12.62	10.16	5.97	9.99
combat:NN	10.46	13.35	10.46	7.10	7.43
systems:NNS	9.23	11.33	10.46	7.47	9.15
warships:NNS	9.97	14.90	9.51	9.70	8.32
Gulfstream:NNP	9.96	15.46	0.00	10.46	9.05
business:NN	8.15	12.47	10.46	0.00	7.69
jets:NNS	10.46	15.00	9.05	7.69	0.00
reported:VBD	14.41	7.72	15.46	10.43	11.89
net:JJ	11.97	6.34	12.46	10.29	12.00
earnings:NNS	10.46	14.41	9.42	8.06	9.90
$:$	25.00	20.50	22.85	20.50	19.54
374m:CD	24.96	20.46	24.96	20.46	20.46
the:DT	20.50	20.00	20.50	20.00	20.00
third:JJ	16.47	10.22	16.31	10.22	12.50
quarter:NN	14.02	10.77	14.72	8.76	10.50
$:$	25.00	20.50	22.85	20.50	19.54
1.84:CD	24.96	20.46	24.21	20.07	18.98
share:NN	9.97	11.84	10.04	7.72	10.00
driven:VBN	14.97	3.33	15.46	10.43	14.80
a:DT	20.50	20.00	20.50	20.00	20.00
strong:JJ	12.46	9.33	12.46	11.62	11.96
demand:NN	10.46	12.65	10.38	7.10	6.94
communications:NNS	8.15	12.47	8.71	5.30	9.75
intelligence:NN	9.41	12.72	10.46	7.59	8.82
systems:NNS	9.23	11.33	10.46	7.47	9.15
a:DT	20.50	20.00	20.50	20.00	20.00
booming:JJ	11.97	9.61	11.86	8.81	8.89
market:NN	9.97	11.84	8.82	6.02	10.00
corporate:JJ	12.46	11.37	12.03	8.57	11.96
jets:NNS	10.46	15.00	9.05	7.69	0.00
NO_WORD	10.00	10.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -1.3000
Adjunct.dropPosCxt: text adjunct "systems" of "maker" dropped on aligned hyp word "makes"; Structure.argsMismatch: args have different parents but same relations: text "General_Dynamics" <-nsubj-- "reported vs. hyp "General_Dynamics" <-nsubj-- "makes", which aligned to text "maker" args have different parents, different relations: text "jets" <-CC_and-- "systems" vs. hyp "jets" <-dobj-- "makes", which aligned to text "maker" ; Structure.argsMismatch&Align.veryGood: ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -6.3000
Threshold: -6.4435

Inference ID: 109

Passage: In the wake of the controversy surrounding the dual citizenship status of Liberian presidential candidate George Oppong Manneh Weah, a Daily Observer investigation has uncovered new developments that may rock the candidacies of three leading candidates, in the race for the Liberian presidency.

Hypothesis: George Oppong Manneh Weah is a politician of Liberia. (yes)

	George_Oppong_Manneh_Weah NNP	is VBZ	a DT	politician NN	Liberia NNP
the:DT	20.50	20.00	10.00	20.00	20.50
wake:NN	9.97	12.74	20.00	8.95	9.84
the:DT	20.50	20.00	10.00	20.00	20.50
controversy:NN	10.46	15.00	20.00	7.76	10.50
surrounding:VBG	15.17	9.34	20.00	14.34	12.61
the:DT	20.50	20.00	10.00	20.00	20.50
dual:JJ	12.46	11.96	20.00	11.17	12.46
citizenship:NN	10.46	15.00	20.00	9.29	7.12
status:NN	10.46	15.00	20.00	10.00	10.48
Liberian:NNP	14.02	14.84	20.50	8.55	0.67
presidential:JJ	12.46	11.96	20.00	5.72	12.46
candidate:NN	9.52	14.34	20.00	3.28	9.84
George_Oppong_Manneh_Weah:NNP	0.00	15.17	20.50	9.52	14.67
a:DT	20.50	20.00	0.00	20.00	20.50
Daily:NNP	9.97	14.34	20.00	8.95	9.84
Observer:NNP	9.52	14.34	20.00	7.94	8.34
investigation:NN	9.41	15.00	20.00	9.28	10.50
has:VBZ	15.17	8.64	20.00	14.34	13.02
uncovered:VBN	15.46	10.00	20.00	14.60	15.14
new:JJ	12.46	11.96	20.00	11.96	12.46
developments:NNS	10.17	14.34	20.00	9.34	6.88
that:WDT	20.50	20.00	10.00	20.00	20.50
may:MD	19.55	19.34	10.00	18.11	19.84
rock:VB	14.52	7.34	20.00	12.94	14.84
the:DT	20.50	20.00	10.00	20.00	20.50
candidacies:NNS	10.46	15.00	20.00	6.25	8.72
three:CD	24.96	20.50	20.50	20.50	24.45
leading:JJ	11.97	11.34	20.00	10.60	11.84
candidates:NNS	9.52	14.34	20.00	3.46	9.84
the:DT	20.50	20.00	10.00	20.00	20.50
race:NN	9.97	13.07	20.00	5.49	9.84
the:DT	20.50	20.00	10.00	20.00	20.50
Liberian:NNP	14.02	14.84	20.50	8.55	0.67
presidency:NN	10.46	15.00	20.00	3.74	9.72
NO_WORD	10.00	1.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -1.9908
Adjunct.dropPosCxt: text adjunct "presidential" of "candidate" dropped on aligned hyp word "politician"; NullPunisher.article: a; NullPunisher.aux: is; Structure.parentsMismatch: args have different parents, different relations: text "George_Oppong_Manneh_Weah" <-xcomp-- "surrounding" vs. hyp "George_Oppong_Manneh_Weah" <-nsubj-- "politician", which aligned to text "candidate"
Inference score: -4.6408
Threshold: -6.4435

Inference ID: 120

Passage: Three leaders of a premier Johnstown tourism event were charged with illegally diverting money to their organization, state police said Wednesday, sending shock waves through the region.

Hypothesis: Three leaders of a premier Johnstown tourism event are suspected of stealing money. (yes)

	Three CD	leaders NNS	a DT	premier JJ	Johnstown NNP	tourism NN	event NN	are VBP	suspected VBN	stealing VBG	money NN
Three:CD	0.00	20.39	20.50	20.06	24.96	20.48	20.41	16.96	19.94	20.50	19.19
leaders:NNS	20.39	0.00	20.00	9.12	10.46	8.41	9.46	15.00	14.70	15.00	10.00
a:DT	20.50	20.00	0.00	20.00	20.50	20.00	20.00	20.00	20.00	20.00	20.00
premier:JJ	20.06	9.12	20.00	0.00	11.93	9.78	8.68	12.00	10.05	12.00	11.68
Johnstown:NNP	24.96	10.46	20.50	11.93	0.00	10.46	10.46	15.46	15.46	15.30	10.46
tourism:NN	20.48	8.41	20.00	9.78	10.46	0.00	7.69	15.00	15.00	13.35	10.00
event:NN	20.41	9.46	20.00	8.68	10.46	5.00	0.00	15.00	15.00	15.00	9.11
were:VBD	20.50	15.00	20.00	11.34	15.46	15.00	15.00	0.50	9.34	10.00	15.00
charged:VBN	19.19	15.00	20.00	10.05	15.39	13.35	11.04	8.69	3.17	3.91	11.96
illegally:RB	20.46	14.96	20.00	11.96	15.46	14.96	14.96	19.96	14.62	12.74	11.82
diverting:VBG	20.50	15.00	20.00	10.86	15.46	15.00	14.19	10.00	8.68	6.50	8.56
money:NN	19.19	10.00	20.00	11.68	10.46	10.00	9.11	13.69	13.76	11.14	0.00
their:PRP$	18.58	12.00	20.00	15.00	12.50	12.00	12.00	15.00	15.00	15.00	12.00
organization:NN	19.19	5.26	20.00	7.65	10.46	7.10	6.00	13.69	15.00	12.72	8.69
state:NN	20.50	7.81	20.00	11.34	10.46	5.60	3.00	15.00	14.16	14.04	8.84
police:NNS	20.50	7.81	20.00	12.00	10.46	8.15	10.00	15.00	8.04	11.85	10.00
said:VBD	20.50	14.58	20.00	12.00	14.81	15.00	12.44	10.00	5.18	9.32	14.44
Wednesday:NNP	22.84	8.51	20.50	12.50	14.96	10.50	9.27	13.34	14.57	15.50	9.19
sending:VBG	20.50	14.86	20.00	12.00	15.46	13.35	15.00	10.00	8.23	7.80	14.43
shock_waves:NNS	19.84	9.06	20.00	11.02	10.46	7.69	7.69	14.34	14.02	14.18	8.92
the:DT	20.50	20.00	10.00	20.00	20.50	20.00	20.00	20.00	20.00	20.00	20.00
region:NN	18.34	7.80	20.00	11.09	10.46	4.30	9.95	12.84	14.34	15.00	8.69
NO_WORD	10.00	10.00	1.00	9.00	10.00	10.00	10.00	1.00	10.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -1.4069
Factive.unknownPassage: non factive text -- unknown: said-VBD-0:21; Adjunct.dropPosCxt: text adjunct "region" of "sending" dropped on aligned hyp word "stealing"; Quant.contract: [a,a]; Structure.parentsMismatch: args have different parents, different relations: text "sending" <-partmod-- "said" vs. hyp "stealing" <-IN_of-- "suspected", which aligned to text "charged" args have different parents, different relations: text "sending" <-xcomp-- "said" vs. hyp "stealing" <-IN_of-- "suspected", which aligned to text "charged" ; Structure.parentsMismatch&Align.veryGood: ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -4.9069
Threshold: -6.4435

Inference ID: 122

Passage: Prime Minister John Howard says he will not be swayed by a videotaped warning that Australia faces more terrorism attacks unless it withdraws its troops from Iraq and Afghanistan.

Hypothesis: Australia withdraws from Iraq. (don't know)

	Australia NNP	withdraws VBZ	Iraq NNP
Prime_Minister:NNP	9.45	15.00	9.84
John_Howard:NNP	14.47	15.46	14.67
says:VBZ	15.50	7.60	15.50
he:PRP	12.50	15.00	12.50
will:MD	20.50	20.00	20.50
not:RB	15.46	19.96	15.46
be:VB	14.84	10.00	14.84
swayed:VBN	15.50	7.71	15.50
a:DT	20.50	20.00	20.50
videotaped:JJ	11.45	12.00	11.84
warning:NN	10.50	14.10	9.46
that:IN	20.50	20.00	20.50
Australia:NNP	0.00	13.15	5.34
faces:VBZ	13.02	9.71	13.02
more:JJR	11.45	12.00	11.84
terrorism:NN	10.28	12.16	5.79
attacks:NNS	10.50	13.57	6.56
unless:IN	18.35	17.37	19.73
it:PRP	12.50	15.00	12.50
withdraws:VBZ	13.15	0.00	13.31
its:PRP$	12.50	15.00	12.50
troops:NNS	10.26	11.10	4.57
Iraq:NNP	5.34	13.31	0.00
Afghanistan:NNP	5.34	13.78	3.17
NO_WORD	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -0.6667
Structure.argsMismatch: args have different parents but same relations: text "Australia" <-nsubj-- "faces vs. hyp "Australia" <-nsubj-- "withdraws", which aligned to text "withdraws" ; Structure.argsMismatch&Align.veryGood:
Inference score: -6.6667
Threshold: -6.4435

Inference ID: 131

Passage: On the same day last week that Mahmoud Ahmadi-Nejad, Iran's fundamentalist president, called for Israel to be "wiped off the map" at an anti-Zionist conference in Tehran, his first vice-president was attending a different sort of event in Moscow.

Hypothesis: Mahmoud Ahmadi-Nejad attended a conference. (yes)

	Mahmoud_Ahmadi-Nejad NNP	attended VBD	a DT	conference NN
the:DT	20.50	20.00	10.00	20.00
same:JJ	12.46	11.96	20.00	11.96
day:NN	10.46	13.30	20.00	8.69
last:JJ	12.46	12.00	20.00	10.69
week:NN	10.46	13.68	20.00	6.32
that:IN	20.50	20.00	20.00	20.00
Mahmoud_Ahmadi-Nejad:NNP	5.00	15.46	20.50	10.46
Iran:NNP	14.96	14.82	20.50	10.50
fundamentalist:JJ	12.46	10.53	20.00	12.00
president:NN	10.46	14.56	20.00	8.94
called:VBD	15.46	7.42	20.00	10.68
Israel:NNP	14.96	15.17	20.50	9.87
to:TO	20.50	20.00	10.00	20.00
be:VB	15.46	6.70	20.00	15.00
wiped_off:VBN	15.46	9.96	20.00	14.96
the:DT	20.50	20.00	10.00	20.00
map:NN	10.46	15.00	20.00	8.03
an:DT	20.50	20.00	10.00	20.00
anti-Zionist:JJ	12.46	11.69	20.00	11.96
conference:NN	10.46	11.80	20.00	0.00
Tehran:NNP	14.96	13.30	20.50	9.23
his:PRP$	12.50	15.00	20.00	12.00
first:JJ	12.46	12.00	20.00	9.85
vice-president:NN	10.46	14.69	20.00	9.23
was:VBD	15.46	10.00	20.00	15.00
attending:VBG	15.46	0.50	20.00	11.30
a:DT	20.50	20.00	0.00	20.00
different:JJ	12.46	11.96	20.00	11.06
sort:NN	10.46	15.00	20.00	8.69
event:NN	10.46	13.35	20.00	7.15
Moscow:NNP	14.96	14.47	20.50	9.19
NO_WORD	10.00	10.00	1.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -2.6250
Adjunct.dropPosCxt: text adjunct "anti-Zionist" of "conference" dropped on aligned hyp word "conference"; Quant.contract: [an,a]; NullPunisher.article: a; Structure.argsMismatch: args have different parents but same relations: text "Mahmoud_Ahmadi-Nejad" <-nsubj-- "called vs. hyp "Mahmoud_Ahmadi-Nejad" <-nsubj-- "attended", which aligned to text "attending" args have different parents but same relations: text "Mahmoud_Ahmadi-Nejad" <-xsubj-- "wiped_off vs. hyp "Mahmoud_Ahmadi-Nejad" <-nsubj-- "attended", which aligned to text "attending" args have different parents, different relations: text "conference" <-IN_at-- "map" vs. hyp "conference" <-dobj-- "attended", which aligned to text "attending"
Inference score: -4.2250
Threshold: -6.4435

Inference ID: 134

Passage: Opposition leaders in India have called on foreign minister Natwar Singh to resign after he and the Congress party were named in the Volcker report as alleged recipients of illicit payments from Saddam Hussein under the oil-for-food scam.

Hypothesis: Natwar Singh resigned. (don't know)

	Natwar_Singh NNP	resigned VBD
Opposition:NN	10.46	14.45
leaders:NNS	10.46	15.00
India:NNP	14.96	15.50
have:VBP	15.46	7.61
called:VBN	15.46	7.27
foreign_minister:NNP	10.46	14.96
Natwar_Singh:NNP	0.00	15.46
to:TO	20.50	20.00
resign:VB	15.46	0.50
he:PRP	12.50	15.00
the:DT	20.50	20.00
Congress:NNP	14.96	15.07
party:NN	10.46	13.69
were:VBD	15.46	10.00
named:VBN	15.46	1.51
the:DT	20.50	20.00
Volcker:NNP	9.96	13.75
report:NN	10.46	14.59
alleged:JJ	12.46	9.16
recipients:NNS	10.46	14.88
illicit:JJ	12.46	11.96
payments:NNS	10.46	14.52
Saddam_Hussein:NNP	9.96	15.50
the:DT	20.50	20.00
oil-for-food:JJ	12.46	11.96
scam:NN	10.46	14.63
NO_WORD	10.00	10.00

Response: yes (INCORRECT)
Justification:
Alignment score: -1.2500
Adjunct.dropPosCxt: text adjunct "he" of "resign" dropped on aligned hyp word "resigned"; Structure.parentsMismatch: args have different parents, different relations: text "Natwar_Singh" <-IN_on-- "called" vs. hyp "Natwar_Singh" <-nsubj-- "resigned", which aligned to text "resign" ; Structure.parentsMismatch&Align.veryGood: ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -6.2500
Threshold: -6.4435

Inference ID: 136

Passage: Just over two hours later, another car bomb targeted a police commando patrol under the Harithiyah bridge in the west of the city, killing two policemen and wounding 11.

Hypothesis: A police commando patrol was the owner of a car bomb. (don't know)

	A DT	police NN	commando NN	patrol NN	was VBD	the DT	owner NN	a DT	car_bomb NN
Just:RB	20.00	14.96	14.96	14.56	19.96	20.00	13.98	20.00	14.96
two:CD	20.50	20.36	20.01	20.50	20.50	20.50	20.50	20.50	20.50
hours:NNS	20.00	9.01	8.43	9.52	15.00	20.00	10.00	20.00	10.00
later:RBR	20.00	14.60	14.96	14.86	19.96	20.00	14.96	20.00	14.96
another:DT	10.00	20.00	20.00	20.00	20.00	10.00	20.00	10.00	20.00
car_bomb:NN	20.00	8.13	8.13	8.13	14.34	20.00	8.95	20.00	0.00
targeted:VBD	20.00	12.54	13.05	11.98	7.52	20.00	13.05	20.00	12.12
a:DT	0.00	20.00	20.00	20.00	20.00	10.00	20.00	0.00	20.00
police:NN	20.00	0.00	5.41	2.68	15.00	20.00	9.24	20.00	8.13
commando:NN	20.00	5.41	0.00	5.44	14.34	20.00	8.05	20.00	8.13
patrol:NN	20.00	2.68	5.44	0.00	15.00	20.00	10.00	20.00	8.13
the:DT	10.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00	20.00
Harithiyah:NNP	20.50	10.46	10.46	10.46	15.46	20.50	10.46	20.50	10.46
bridge:NN	20.00	8.39	8.95	7.04	14.34	20.00	8.95	20.00	6.40
the:DT	10.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00	20.00
west:NN	20.00	9.33	8.05	8.24	12.11	20.00	7.42	20.00	8.95
the:DT	10.00	20.00	20.00	20.00	20.00	0.00	20.00	10.00	20.00
city:NN	20.00	5.23	7.81	7.48	11.33	20.00	8.01	20.00	8.13
killing:VBG	20.00	8.52	11.04	10.29	10.00	20.00	15.00	20.00	13.45
two:CD	20.50	20.36	20.01	20.50	20.50	20.50	20.50	20.50	20.50
policemen:NN	20.00	2.62	3.88	4.79	14.34	20.00	8.05	20.00	8.95
wounding:VBG	20.00	10.46	10.83	11.43	10.00	20.00	15.00	20.00	15.00
11:CD	20.50	20.50	20.50	20.50	20.50	20.50	20.50	20.50	20.50
NO_WORD	1.00	10.00	10.00	10.00	1.00	1.00	10.00	1.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -1.4916
Adjunct.dropPosCxt: text adjunct "city" of "west" dropped on aligned hyp word "owner"; Quant.contract: [a,a]; NullPunisher.aux: was; NullPunisher.article: a; RootEntailment.poorlyAlignedRoot: "owner" aligned badly to "west"; Structure.parentsMismatch: args have different parents, different relations: text "patrol" <-dobj-- "targeted" vs. hyp "patrol" <-nsubj-- "owner", which aligned to text "west" args have different parents, different relations: text "car_bomb" <-nsubj-- "targeted" vs. hyp "car_bomb" <-IN_of-- "owner", which aligned to text "west" ; Structure.parentsMismatch&Align.veryGood: ; Adjunct.dropPosCxt&Align.veryGood:
Inference score: -7.6416
Threshold: -6.4435

Inference ID: 137

Passage: The BBC's correspondent in Athens, Malcolm Brabant, said that in the past few weeks more details had emerged of the alleged mistreatment by Greek-speaking agents.

Hypothesis: Malcolm Brabant was mistreated by Greek agents. (don't know)

	Malcolm_Brabant NNP	was VBD	mistreated VBN	Greek NNP	agents NNS
The:DT	20.50	20.00	20.00	20.50	20.00
BBC:NNP	14.96	15.46	13.29	13.34	9.84
correspondent:NN	10.46	14.34	15.00	8.27	5.14
Athens:NNP	14.96	11.83	15.50	5.40	9.22
Malcolm_Brabant:NNP	0.00	15.46	15.46	14.96	10.46
said:VBD	15.46	10.00	7.80	15.50	14.84
that:IN	20.50	20.00	20.00	20.50	20.00
the:DT	20.50	20.00	20.00	20.50	20.00
past:JJ	12.46	12.00	11.69	11.19	5.09
few:JJ	12.46	12.00	12.00	11.19	10.13
weeks:NNS	10.46	15.00	15.00	9.19	10.00
more:JJR	12.46	11.34	12.00	10.55	7.14
details:NNS	10.46	15.00	14.98	8.35	8.88
had:VBD	15.46	9.34	7.80	13.55	13.05
emerged:VBN	15.46	10.00	9.16	13.60	15.00
the:DT	20.50	20.00	20.00	20.50	20.00
alleged:JJ	12.46	12.00	10.94	12.50	7.61
mistreatment:NN	10.46	15.00	6.00	9.15	8.49
Greek-speaking:JJ	12.46	11.96	11.96	7.19	11.32
agents:NNS	10.46	14.34	14.44	8.55	0.00
NO_WORD	10.00	1.00	10.00	10.00	10.00

Response: dontknow (CORRECT)
Justification:
Alignment score: -3.6809
Adjunct.dropPosCxt: text adjunct "Greek-speaking" of "agents" dropped on aligned hyp word "agents"; NullPunisher.aux: was; RootEntailment.poorlyAlignedRoot: "mistreated" aligned badly to "mistreatment"; Structure.parentsMismatch: args have different parents, different relations: text "Malcolm_Brabant" <-IN_in-- "correspondent" vs. hyp "Malcolm_Brabant" <-nsubjpass-- "mistreated", which aligned to text "mistreatment" args have different parents, different relations: text "agents" <-IN_by-- "emerged" vs. hyp "agents" <-agent-- "mistreated", which aligned to text "mistreatment"
Inference score: -8.2309
Threshold: -6.4435

Inference ID: 138

Passage: A new chapter has been written into Australia's rich sporting history after the Socceroos qualified for the World Cup finals following their 4-2 win over Uruguay on penalties at the Olympic Stadium in Sydney.

Hypothesis: Australia qualified for the World Cup finals. (yes)

	Australia NNP	qualified VBD	the DT	World_Cup NNS	finals NNS
A:DT	20.50	20.00	10.00	20.00	20.00
new:JJ	12.46	11.96	20.00	11.96	11.96
chapter:NN	10.50	13.26	20.00	7.69	7.69
has:VBZ	13.02	10.00	20.00	12.71	15.00
been:VBN	14.84	6.07	20.00	13.67	15.00
written:VBN	15.50	7.62	20.00	13.81	15.00
Australia:NNP	0.00	14.48	20.50	9.97	7.79
rich:JJ	12.14	10.15	20.00	11.96	9.97
sporting:NN	8.46	13.64	20.00	8.92	4.57
history:NN	9.82	12.95	20.00	8.73	6.89
after:IN	20.50	20.00	17.88	20.00	20.00
the:DT	20.50	20.00	0.00	20.00	20.00
Socceroos:NNP	9.96	15.46	20.50	10.46	10.46
qualified:VBD	14.48	0.00	20.00	13.81	11.00
the:DT	20.50	20.00	0.00	20.00	20.00
World_Cup:NNS	9.97	13.81	20.00	0.00	5.78
finals:NNS	7.79	11.00	20.00	5.78	0.00
following:VBG	15.50	9.78	20.00	14.06	13.35
their:PRP$	12.50	15.00	20.00	12.00	12.00
4-2:JJ	12.46	11.86	20.00	11.96	11.33
win:NN	8.46	11.77	20.00	7.69	4.28
Uruguay:NNP	5.34	14.94	20.50	10.17	7.48
penalties:NNS	10.50	13.51	20.00	7.69	7.69
the:DT	20.50	20.00	0.00	20.00	20.00
Olympic:NNP	7.66	11.32	20.00	9.96	3.13
Stadium:NNP	9.45	15.00	20.00	9.02	5.91
Sydney:NNP	6.33	15.27	20.50	10.17	7.96
NO_WORD	10.00	10.00	1.00	10.00	10.00

Response: yes (CORRECT)
Justification:
Alignment score: -0.4000
Structure.parentsMismatch: args have different parents, different relations: text "Australia" <-poss-- "history" vs. hyp "Australia" <-nsubj-- "qualified", which aligned to text "qualified" ; Structure.parentsMismatch&Align.veryGood:
Inference score: -6.4000
Threshold: -6.4435

Inference ID: 148

Passage: Speaking to newsmen in Jakarta today, Hun Sen, second prime minister of Cambodia, reiterated that the Phnom Penh government will not hold further negotiations with the Khmer Rouge (KR) because it has used all the topics discussed between the two sides at past talks as a platform to support its existence.

Hypothesis: Hun Sen represents the Khmer Rouge. (don't know)

	Hun_Sen NNP	represents VBZ	the DT	Khmer_Rouge NNP
Speaking:VBG	14.84	8.11	20.00	14.42
to:TO	20.50	20.00	10.00	20.50
newsmen:VB	14.52	10.00	20.00	14.52
Jakarta:NNP	14.67	15.50	20.50	14.67
today:NN	13.92	15.36	20.50	14.34
Hun_Sen:NNP	0.00	15.46	20.50	12.25
second:JJ	10.54	12.00	20.00	11.06
prime_minister:NN	8.73	15.00	20.00	9.31
Cambodia:NNP	14.67	15.50	20.50	14.67
reiterated:VBD	15.46	6.87	20.00	15.50
that:IN	20.50	20.00	20.00	20.50
the:DT	20.50	20.00	0.00	20.50
Phnom_Penh:NNP	13.76	15.46	20.50	14.96
government:NN	10.46	15.00	20.00	8.31
will:MD	19.84	17.45	10.00	19.42
not:RB	15.46	19.96	20.00	15.46
hold:VB	14.42	7.45	20.00