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Word sense disambiguation with pattern learning and automatic feature selection

Published online by Cambridge University Press:  22 January 2003

RADA F. MIHALCEA
RADA F. MIHALCEA
Affiliation:
Department of Computer Science, University of North Texas, Denton, TX 76203-1366, USA e-mail: [email protected]
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Abstract

This paper presents a novel approach for word sense disambiguation. The underlying algorithm has two main components: (1) pattern learning from available sense-tagged corpora (SemCor), from dictionary definitions (WordNet) and from a generated corpus (GenCor); and (2) instance based learning with automatic feature selection, when training data is available for a particular word. The ideas described in this paper were implemented in a system that achieves excellent performance on the data provided during the SENSEVAL-2 evaluation exercise, for both English all words and English lexical sample tasks.

Type
Research Article
Information
Natural Language Engineering , Volume 8 , Issue 4 , December 2002 , pp. 343 - 358
Copyright
2002 Cambridge University Press

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