PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Integrating Pattern-based and Distributional Similarity Methods for Lexical Entailment Acquisition
Shachar Mirkin, Ido Dagan and Maayan Geffet
In: COLING-ACL 2006, Sydney, Australia(2006).


This paper addresses the problem of acquiring lexical semantic relationships, applied to the lexical entailment relation. Our main contribution is a novel conceptual integration between the two distinct acquisition paradigms for lexical relations – the patternbased and the distributional similarity approaches. The integrated method exploits mutual complementary information of the two approaches to obtain candidate relations and informative characterizing features. Then, a small size training set is used to construct a more accurate supervised classifier, showing significant increase in both recall and precision over the original approaches.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:2841
Deposited By:Ido Dagan
Deposited On:22 November 2006