A Word Sense Disambiguation Method Based on Reconstruction of Context by Correlation

Abstract:

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This paper presents a word sense disambiguation method by reconstructing the context using the correlation between words. Firstly, we figure out the relevance between words though the statistical quantity(co-occurrence frequency , the average distance and the information entropy) from the corpus. Secondly, we see the words that have lager correlation value between ambiguous word than other words in the context as the important words, and use this kind of words to reconstruct the context, then we use the reconstructed context as the new context of the ambiguous words .In the end, we use the method of the sememe co-occurrence data[10] for word sense disambiguation. The experimental results have proved the feasibility of this method.

Info:

Periodical:

Edited by:

Robin G. Qiu and Yongfeng Ju

Pages:

160-166

DOI:

10.4028/www.scientific.net/AMM.135-136.160

Citation:

X. H. Fan et al., "A Word Sense Disambiguation Method Based on Reconstruction of Context by Correlation", Applied Mechanics and Materials, Vols. 135-136, pp. 160-166, 2012

Online since:

October 2011

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$35.00

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