Stevenson, M. and Wilks, Y. (2001) The interaction of knowledge sources in word sense disambiguation. Computational Linguistics, 27 (3). pp. 321-349. ISSN 0891-2017
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the tradition of combining different knowledge sources in artificial in telligence research. An important step in the exploration of this hypothesis is to determine which linguistic knowledge sources are most useful and whether their combination leads to improved results.
We present a sense tagger which uses several knowledge sources. Tested accuracy exceeds 94% on our evaluation corpus.Our system attempts to disambiguate all content words in running text rather than limiting itself to treating a restricted vocabulary of words. It is argued that this approach is more likely to assist the creation of practical systems.
|Copyright, Publisher and Additional Information:||© 2001 Association for Computational Linguistics. Reproduced in accordance with the publisher’s self-archiving policy.|
|Institution:||The University of Sheffield|
|Academic Units:||The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)|
|Depositing User:||Repository Assistant|
|Date Deposited:||27 Jul 2006|
|Last Modified:||06 Jun 2014 14:22|