Paper: Word Sense Disambiguation with Multilingual Features

ACL ID W11-0104
Title Word Sense Disambiguation with Multilingual Features
Venue IWCS
Session Main Conference
Year 2011
Authors

This paper explores the role played by a multilingual feature representation for the task of word sense disambiguation. We translate the context of an ambiguous word in multiple languages, and show through experiments on standard datasets that by using a multilingual vector space we can obtain error rate reductions of up to 25%, as compared to a monolingual classifier.