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A Tableau Prover for Natural Logic and Language
Lasha Abzianidze
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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser
Koji Mineshima
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Ribeka Tanaka
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Pascual Martínez-Gómez
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Yusuke Miyao
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Daisuke Bekki
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Determining Semantic Textual Similarity using Natural Deduction Proofs
Hitomi Yanaka
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Koji Mineshima
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Pascual Martínez-Gómez
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Daisuke Bekki
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Visual Denotations for Recognizing Textual Entailment
Dan Han
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Pascual Martínez-Gómez
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Koji Mineshima
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LangPro: Natural Language Theorem Prover
Lasha Abzianidze
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On-demand Injection of Lexical Knowledge for Recognising Textual Entailment
Pascual Martínez-Gómez
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Koji Mineshima
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Yusuke Miyao
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Daisuke Bekki
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The Challenge of Composition in Distributional and Formal Semantics
Ran Tian
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Koji Mineshima
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Pascual Martínez-Gómez
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Acquisition of Phrase Correspondences Using Natural Deduction Proofs
Hitomi Yanaka
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Koji Mineshima
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Pascual Martínez-Gómez
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Daisuke Bekki
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Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning
Masashi Yoshikawa
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Koji Mineshima
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Hiroshi Noji
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Daisuke Bekki
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ccg2lambda: A Compositional Semantics System
Pascual Martínez-Gómez
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Koji Mineshima
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Yusuke Miyao
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Daisuke Bekki
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Natural Solution to FraCaS Entailment Problems
Lasha Abzianidze
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A Monotonicity Calculus and Its Completeness
Thomas Icard
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Lawrence Moss
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William Tune
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A Type-Theoretical system for the FraCaS test suite: Grammatical Framework meets Coq
Jean-Philippe Bernardy
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Stergios Chatzikyriakidis
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An overview of Natural Language Inference Data Collection: The way forward?
Stergios Chatzikyriakidis
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Robin Cooper
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Simon Dobnik
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Staffan Larsson
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Fine-Grained Discourse Structures in Continuation Semantics
Timothée Bernard
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Neural sentence generation from formal semantics
Kana Manome
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Masashi Yoshikawa
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Hitomi Yanaka
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Pascual Martínez-Gómez
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Koji Mineshima
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Daisuke Bekki
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http://alt.qcri.org/semeval2014/task1/
Field Of Study
Linguistic Trends
Discourse
Task
Textual Entailment
Semantic Similarity
Language
English
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