TitleWord clustering for collocation-based word sense disambiguation
AuthorsJin, Peng
Sun, Xu
Wu, Yunfang
Yu, Shiwen
AffiliationDepartment of Computer Science and Technology, Institute of Computational Linguistics, Peking University, 100871, Beijing, China
Issue Date2007
Citation8th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2007.Mexico City, Mexico,4394 LNCS(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. ? Springer-Verlag Berlin Heidelberg 2007.
Appears in Collections:信息科学技术学院

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