TitleWord clustering for collocation-based word sense disambiguation
AuthorsJin, Peng
Sun, Xu
Wu, Yunfang
Yu, Shiwen
AffiliationPeking Univ, Inst Computat Linguist, Dept Comp Sci & Technol, Beijing 100871, Peoples R China.
Issue Date2007
CitationComputational Linguistics and Intelligent Text Processing.4394(267-274).
AbstractThe main disadvantage of collocation-based word sense disambiguation is that the recall is low, with relatively high precision. How to improve the recall without decrease the precision? In this paper, we investigate a word-class approach to extend the collocation list which is constructed from the manually sense-tagged corpus. But the word classes are obtained from a larger scale corpus which is not sense tagged. The experiment results have shown that the F-measure is improved to 71% compared to 54% of the baseline system where the word-class is not considered, although the precision decreases slightly. Further study discovers the relationship between the F-measure and the number of word-class trained from the various sizes of corpus.
Appears in Collections:信息科学技术学院

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