| Title | PNNL: A Supervised Maximum Entropy Approach to Word Sense Disambiguation |
| Publication Type | Report |
| Year of Publication | 2007 |
| Authors | Tratz S, Gregory M, Posse C, Whitney PD |
| Keywords | word 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 |
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