Paper: Word Sense Disambiguation Using Lexical Cohesion In The Context

ACL ID P06-2119
Title Word Sense Disambiguation Using Lexical Cohesion In The Context
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

This paper designs a novel lexical hub to disambiguate word sense, using both syn- tagmatic and paradigmatic relations of words. It only employs the semantic net- work of WordNet to calculate word simi- larity, and the Edinburgh Association Thesaurus (EAT) to transform contextual space for computing syntagmatic and other domain relations with the target word. Without any back-off policy the result on the English lexical sample of SENSEVAL-2 1 shows that lexical cohe- sion based on edge-counting techniques is a good way of unsupervisedly disam- biguating senses.