You are here

PNNL: A Supervised Maximum Entropy Approach to Word Sense Disambiguation

TitlePNNL: A Supervised Maximum Entropy Approach to Word Sense Disambiguation
Publication TypeReport
Year of Publication2007
AuthorsTratz, S, Gregory, M, Posse, C, Whitney, PD
Keywordsword sense disambiguation, word senses
Abstract

In this paper, we described the PNNL Word Sense Disambiguation system as applied to the English all-word task in SemEval 2007. We use a supervised learning approach, employing a large number of features and using Information Gain for dimension reduction. The rich feature set combined with a Maximum Entropy classifier produces results that are significantly better than baseline and are the highest F-score for the fined-grained English allwords subtask of SemEval