Supervised sense tagging using support vector machines

Authors:
Clara Cabezas;Philip Resnik;Jessica Stevens
Affiliations:
University of Maryland, College Park, MD;University of Maryland, College Park, MD;University of Maryland, College Park, MD
Venue:
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
Year:
2001

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Abstract

We describe the University of Maryland's supervised sense tagger, which participated in the SENSEVAL-2 lexical sample evaluations for English, Spanish, and Swedish; we also present unofficial results for Basque. We designed a highly modular combination of language-independent feature extraction and supervised learning using support vector machines in order to permit rapid ramp-up, language independence, and capability for future expansion.