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Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition
Roy Bar-Haim
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Ido Dagan
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Iddo Greental
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Idan Szpektor
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Moshe Friedman
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Paper Details:
Month: June
Year: 2007
Location: Prague
Venue:
WS |
Citations
URL
Inference Rules and their Application to Recognizing Textual Entailment
Georgiana Dinu
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Rui Wang
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Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT
Kathryn Baker
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Michael Bloodgood
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Bonnie J. Dorr
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Chris Callison-Burch
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Nathaniel W. Filardo
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Christine Piatko
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Lori Levin
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Scott Miller
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Passing a USA National Bar Exam: a First Corpus for Experimentation
Biralatei Fawei
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Adam Wyner
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Jeff Pan
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Logical Inference on Dependency-based Compositional Semantics
Ran Tian
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Yusuke Miyao
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Takuya Matsuzaki
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The Excitement Open Platform for Textual Inferences
Bernardo Magnini
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Roberto Zanoli
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Ido Dagan
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Kathrin Eichler
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Guenter Neumann
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Tae-Gil Noh
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Sebastian Pado
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Asher Stern
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Omer Levy
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Efficient Logical Inference for Semantic Processing
Ran Tian
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Yusuke Miyao
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Takuya Matsuzaki
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http://about.reuters.com/researchandstandards/corpus/
Field Of Study
Linguistic Trends
Formal Semantics
Task
Textual Entailment
Language
English
Dataset
News
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