PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Directional Distributional Similarity for Lexical Expansion
Lili Kotlerman, Ido Dagan, Idan Szpektor and Maayan Geffet
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers pp. 69-72, 2009.

Abstract

Distributional word similarity is most commonly perceived as a symmetric relation. Yet, one of its major applications is lexical expansion, which is generally asymmetric. This paper investigates the nature of directional (asymmetric) similarity measures, which aim to quantify distributional feature inclusion. We identify desired properties of such measures, specify a particular one based on averaged precision, and demonstrate the empirical benefit of directional measures for expansion.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:6176
Deposited By:Lili Kotlerman
Deposited On:08 March 2010