Evaluation of Linguistic Features for Word Sense Disambiguation with Self-Organized Document Maps

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Linden , K 2004 , ' Evaluation of Linguistic Features for Word Sense Disambiguation with Self-Organized Document Maps ' , Language Resources and Evaluation , vol. 38 , no. 4 , pp. 417-435 . < http://www.springerlink.com/content/n2413544uhj102qp/fulltext.pdf >

Title: Evaluation of Linguistic Features for Word Sense Disambiguation with Self-Organized Document Maps
Author: Linden, Krister
Contributor: University of Helsinki, Department of Modern Languages 2010-2017
Date: 2004-11
Language: eng
Number of pages: 19
Belongs to series: Language Resources and Evaluation
ISSN: 1574-020X
URI: http://hdl.handle.net/10138/33855
Abstract: Word sense disambiguation automatically determines the appropriate senses of a word in context. We have previously shown that self-organized document maps have properties similar to a large-scale semantic structure that is useful for word sense disambiguation. This work evaluates the impact of different linguistic features on self-organized document maps for word sense disambiguation. The features evaluated are various qualitative features, e.g. part-of-speech and syntactic labels, and quantitative features, e.g. cut-off levels for word frequency. It is shown that linguistic features help make contextual information explicit. If the training corpus is large even contextually weak features, such as base forms, will act in concert to produce sense distinctions in a statistically significant way. However, the most important features are syntactic dependency relations and base forms annotated with part of speech or syntactic labels. We achieve 62.9%±0.73% correct results on the fine grained lexical task of the English SENSEVAL-2 data. On the 96.7% of the test cases which need no back-off to the most frequent sense we achieve 65.7% correct results.
Subject: 612 Languages and Literature
113 Computer and information sciences
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