SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Part-of-speech induction from scratch
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Word-sense disambiguation using statistical models of Roget's categories trained on large corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Building a large ontology for machine translation
HLT '93 Proceedings of the workshop on Human Language Technology
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Hi-index | 0.00 |
In this paper, we study the problem of combining a Chinese thesaurus with a Chinese dictionary by linking the word entries in the thesaurus with the word senses in the dictionary, and propose a similar word strategy to solve the problem. The method is based on the definitions given in the dictionary, but without any syntactic parsing or sense disambiguation on them at all. As a result, their combination makes the thesaurus specify the similarity between senses which accounts for the similarity between words, produces a kind of semantic classification of the senses defined in the dictionary, and provides reliable information about the lexical items on which the resources don't conform with each other.