A chinese corpus with word sense annotation

Authors:
Yunfang Wu;Peng Jin;Yangsen Zhang;Shiwen Yu
Affiliations:
Institute of Computational Linguistics, Peking University, Beijing, China;Institute of Computational Linguistics, Peking University, Beijing, China;Institute of Computational Linguistics, Peking University, Beijing, China;Institute of Computational Linguistics, Peking University, Beijing, China
Venue:
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Year:
2006

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Abstract

This paper presents the construction of a Chinese word sense-tagged corpus. The resulting lexical resource includes mainly three components: 1) a corpus annotated with word senses; 2) a lexicon containing sense distinction and description in the feature-based formalism; 3) the linking between the sense entries in the lexicon and CCD synsets. A dynamic model is put forward to build the three knowledge bases simultaneously and interactively. The strategy to improve consistency is addressed since consistency is a thorny issue for constructing semantic resources. The inter-annotator agreement of the sense-tagged corpus is satisfied. The database will grow up to be a powerful lexical resource both for linguistic researches on Chinese lexical semantics and word sense disambiguation.