Improving English verb sense disambiguation performance with linguistically motivated features and clear sense distinction boundaries.

This paper presents a high-performance broad-coverage supervised word sense disambiguation (WSD) system for English verbs that uses linguistically motivated features and a smoothed maximum entropy machine learning model. We describe three specific enhancements to our system’s treatment of linguistic...

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Bibliographic Details

Published in:	Language Resources & Evaluation Vol. 43; no. 2; pp. 181 - 209
Main Authors:	Jinying Chen, Palmer, Martha
Format:	Article
Published:	Springer Nature Jun2009
Subjects:	Verbs English language Linguistics Semantics Language & languages
Online Access:	View this record in EBSCOhost