Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Robust automated topic identification
Robust automated topic identification
How to thematically segment texts by using lexical cohesion?
ACL '98 Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
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Using semantic knowledge in NLP applications always improves their competence. Broad lexicons have been developed, but there are few resources which contain semantic information available for words and which are non-dedicated to specialized domains. In order to build such a base, we designed a system, SVETLAN', able to learn categories of nouns from texts, whatever their domain. In order to avoid general classes mixing all the meanings of words, they are learned taking into account the contextual use of words.