A lexical alignment model for probabilistic textual entailment

Authors:
Oren Glickman;Ido Dagan;Moshe Koppel
Affiliations:
Bar Ilan University, Ramat Gan, Israel;Bar Ilan University, Ramat Gan, Israel;Bar Ilan University, Ramat Gan, Israel
Venue:
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Year:
2005

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Abstract

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.