The dictionary and the thesaurus can be combined
Relational models of the lexicon
Untangling definition structure into knowledge representation
Inheritance, defaults and the lexicon
Detecting patterns in a Lexical Data Base
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Semantically significant patterns in dictionary definitions
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Extracting semantic hierarchies from a large on-line dictionary
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
A taxonomy for English nouns and verbs
ACL '81 Proceedings of the 19th 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
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This paper presents an algorithm to integrate different lexical resources, through which we hope to overcome the individual inadequacy of the resources, and thus obtain some enriched lexical semantic information for applications such as word sense disambiguation. We used WordNet as a mediator between a conventional dictionary and a thesaurus. Preliminary results support our hypothesised structural relationship, which enables the integration, of the resources. These results also suggest that we can combine the resources to achieve an overall balanced degree of sense discrimination.