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Abstract: Machine learning techniques can be used to make lexicons adaptive. The main problems in adaptation are the addition of lexical material to an existing lexical database, and the recomputation of sublanguage-dependent lexical information when porting the lexicon to a new domain or application. Inductive lexicons combine available lexical information and corpus data to alleviate these tasks. In this paper, we introduce the general methodology for the construction of inductive lexicons, and discuss ... (Update)
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BibTeX entry: (Update)
W. Daelemans, A. Van den Bosch, and G. Durieux. Toward inductive lexicons: a case study. In Proceedings of the LREC Workshop on Adapting Lexical and Corpus Resources to Sublanguages and Applications, pages 29--35, Granada, Spain, 1998. http://citeseer.ist.psu.edu/daelemans98toward.html More
@misc{ daelemans98toward,
author = "W. Daelemans and A. Van den Bosch and G. Durieux",
title = "Toward inductive lexicons: a case study",
text = "W. Daelemans, A. Van den Bosch, and G. Durieux. Toward inductive lexicons:
a case study. In Proceedings of the LREC Workshop on Adapting Lexical and
Corpus Resources to Sublanguages and Applications, pages 29--35, Granada,
Spain, 1998.",
year = "1998",
url = "citeseer.ist.psu.edu/daelemans98toward.html" }
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