White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Assessing the contribution of shallow and deep knowledge sources for word sense disambiguation

Specia, L., Stevenson, M., das Gracas, M. and Nunes, V. (2010) Assessing the contribution of shallow and deep knowledge sources for word sense disambiguation. Language Resources and Evaluation , 44 (4). pp. 295-313. ISSN 1574-020X

[img] Text

Download (221Kb)


Corpus-based techniques have proved to be very beneficial in the development of efficient and accurate approaches to word sense disambiguation (WSD) despite the fact that they generally represent relatively shallow knowledge. It has always been thought, however, that WSD could also benefit from deeper knowledge sources. We describe a novel approach to WSD using inductive logic programming to learn theories from first-order logic representations that allows corpus-based evidence to be combined with any kind of background knowledge. This approach has been shown to be effective over several disambiguation tasks using a combination of deep and shallow knowledge sources. Is it important to understand the contribution of the various knowledge sources used in such a system. This paper investigates the contribution of nine knowledge sources to the performance of the disambiguation models produced for the SemEval-2007 English lexical sample task. The outcome of this analysis will assist future work on WSD in concentrating on the most useful knowledge sources.

Item Type: Article
Copyright, Publisher and Additional Information: © 2010 Springer. This is an author produced version of a paper subsequently published in Language Resources and Evaluation. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Word sense disambiguation; Knowledge sources; Inductive logic programming
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Miss Anthea Tucker
Date Deposited: 12 Nov 2010 10:27
Last Modified: 08 Feb 2013 17:29
Published Version: http://dx.doi.org/10.1007/s10579-009-9107-y
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number: 10.1007/s10579-009-9107-y
URI: http://eprints.whiterose.ac.uk/id/eprint/42632

Actions (repository staff only: login required)