Word association norms, mutual information, and lexicography
Computational Linguistics
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Statistical sense disambiguation with relatively small corpora using dictionary definitions
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A maximum entropy approach to HowNet-based Chinese word sense disambiguation
SEMANET '02 Proceedings of the 2002 workshop on Building and using semantic networks - Volume 11
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
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Word sense disambiguation (WSD) is a difficult problem in natural language processing. In this paper, a sememe co-occurrence frequency based WSD method was introduced. In this method, Hownet was used as our information source, and a co-occurrence frequency database of sememes was constructed and then used for WSD. The experimental result showed that this method is successful.