PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Rule Chaining and Approximate Match in textual inference
Jonathan Berant, Eyal Shnarch, Amnon Lotan, Shachar Mirkin, Lili Kotlerman, Nahum Shimkin and Ido Dagan
In: TAC 2010 workshop, 15-Nov-2010 - 16-Nov-2010, Gaithersburg, U.S.

Abstract

This paper describes the participation of Bar-Ilan university in the sixth RTE challenge. Our textual-entailment engine, BiuTee , was enhanced with new components that introduce chaining of lexical-entailment rules, and tackle the problem of approximately matching the text and the hy- pothesis after all available knowledge of entailment rules was utilized. We have also re-engineered our system aiming at an open-source open architecture. BiuTee’s performance is better than the median of all-submissions, and outperforms significantly an IR-oriented baseline.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:7689
Deposited By:Asher Stern
Deposited On:17 March 2011