Paper: Integrating Pattern-Based And Distributional Similarity Methods For Lexical Entailment Acquisition

ACL ID P06-2075
Title Integrating Pattern-Based And Distributional Similarity Methods For Lexical Entailment Acquisition
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

This paper addresses the problem of acquir- ing lexical semantic relationships, applied to the lexical entailment relation. Our main con- tribution is a novel conceptual integration between the two distinct acquisition para- digms for lexical relations – the pattern- based and the distributional similarity ap- proaches. 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 con- struct a more accurate supervised classifier, showing significant increase in both recall and precision over the original approaches.