PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Recognising Entailment within Discourse
Shachar Mirkin, Jonathan Berant, Ido Dagan and Eyal Shnarch
In: COLING 2010, 23-27 August 2010, Beijing, China.

Abstract

Texts are commonly interpreted based on the entire discourse in which they are situated. Discourse processing has been shown useful for inference-based application; yet, most systems for textual entailment – a generic paradigm for applied inference – have only addressed discourse considerations via off-the-shelf coreference resolvers. In this paper we explore various discourse aspects in entailment inference, suggest initial solutions for them and investigate their impact on entailment performance. Our experiments suggest that discourse provides useful information, which significantly improves entailment inference, and should be better addressed by future entailment systems.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:7009
Deposited By:Shachar Mirkin
Deposited On:30 September 2010