A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Natural Language Engineering
Term extraction + term clustering: an integrated platform for computer-aided terminology
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the 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
Positioning unknown words in a thesaurus by using information extracted from a corpus
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Automatic term categorization by extracting knowledge from the Web
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Brains, not brawn: The use of “smart” comparable corpora in bilingual terminology mining
ACM Transactions on Speech and Language Processing (TSLP)
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Acquiring and updating terminological resources are difficult and tedious tasks, especially when semantic information should be provided. This paper deals with Term Semantic Categorization. The goal of this process is to assign semantic categories to unknown technical terms. We propose two approaches to the problem that rely on different knowledge sources. The exogeneous approach exploits contextual information extracted from corpora. The endogeneous approach relies on a lexical analysis of the technical terms. After describing the two implemented methods, we present the experiments that we conducted on significant test sets. The results demonstrate that term categorization can provide a reliable help in the terminology acquisition processes.