PNNL: A Supervised Maximum Entropy Approach to Word Sense Disambiguation
Conference
·
OSTI ID:924370
In this paper, we described the PNNL Word Sense Disambiguation system as applied to the English All-Word task in Se-mEval 2007. We use a supervised learning approach, employing a large number of features and using Information Gain for dimension reduction. Our Maximum Entropy approach combined with a rich set of features produced results that are significantly better than baseline and are the highest F-score for the fined-grained English All-Words subtask.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 924370
- Report Number(s):
- PNNL-SA-54895; 400904120
- Country of Publication:
- United States
- Language:
- English
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