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A detailed comparison of WSD systems: an analysis of the system answers for the SENSEVAL-2 English all words task

Published online by Cambridge University Press:  09 June 2006

JUDITA PREISS
JUDITA PREISS
Affiliation:
Computer Laboratory, JJ Thomson Avenue, Cambridge CB3 0FD, UK e-mail: Judita.Preiss@cl.cam.ac.uk
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Abstract

We compare the word sense disambiguation systems submitted for the English-all-words task in SENSEVAL-2. We give several performance measures for the systems, and analyze correlations between system performance and word features. A decision tree learning algorithm is employed to discover the situations in which systems perform particularly well, and the resulting decision tree is examined. We investigate using a decision tree based on the SENSEVAL systems to (i) filter out senses unlikely to be correct, and to (ii) combine WSD systems. Some combinations created in this way outperform the best SENSEVAL system.

Type
Papers
Information
Natural Language Engineering , Volume 12 , Issue 3 , September 2006 , pp. 209 - 228
Copyright
2006 Cambridge University Press

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