论文信息 - Supervised Sense Tagging using Support Vector Machines

Supervised Sense Tagging using Support Vector Machines

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.

Philip Resnik | Clara I. Cabezas | Jessica Stevens | P. Resnik | J. Stevens

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