Word sense disambiguation with pattern learning and automatic feature selection
- 1 March 2002
- journal article
- research article
- Published by Cambridge University Press (CUP) in Natural Language Engineering
- Vol. 8 (4) , 343-358
- https://doi.org/10.1017/s1351324902002991
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.Keywords
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