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MLCW
2005
Springer

A Lexical Alignment Model for Probabilistic Textual Entailment

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A Lexical Alignment Model for Probabilistic Textual Entailment
This paper describes the Bar-Ilan system participating in the Recognising Textual Entailment Challenge. The paper proposes first a general probabilistic setting that formalizes the notion of textual entailment. We then describe a concrete alignment-based model for lexical entailment, which utilizes web co-occurrence statistics in a bag of words representation. Finally, we report the results of the model on the Recognising Textual Entailment challenge dataset along with some analysis.
Oren Glickman, Ido Dagan, Moshe Koppel
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where MLCW
Authors Oren Glickman, Ido Dagan, Moshe Koppel
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