@MISC{Chen_sense-taggingchinese, author = {Hsin-Hsi Chen and Chi-Ching Lin}, title = {Sense-Tagging Chinese Corpus}, year = {} }
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Abstract
Contextual information and the mapping from WordNet synsets to Cilin sense tags deal with word sense disambiguation. The average performance is 63.36% when small categories are used, and 1, 2 and 3 candidates are proposed for low, middle and high ambiguous words. The performance of tagging unknown words is 34.35%, which is much better than that of baseline mode.