Choosing the word most typical in context using a lexical co-occurrence network. Edmonds, P. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and the 8th Conference of the European Chapter of the Association for Computational Linguistics, pages 507–509, Madrid Spain, July, 1997. abstract bibtex This paper presents a partial solution to a component of the problem of lexical choice: choosing the synonym most typical, or expected, in context. We apply a new statistical approach to representing the context of a word through lexical co-occurrence networks. The implementation was trained and evaluated on a large corpus, and results show that the inclusion of second-order co-occurrence relations improves the performance of our implemented lexical choice program.
@InProceedings{ edmonds5,
author = {Philip Edmonds},
title = {Choosing the word most typical in context using a lexical
co-occurrence network},
booktitle = {Proceedings of the 35th Annual Meeting of the Association
for Computational Linguistics and the 8th Conference of the
European Chapter of the Association for Computational
Linguistics},
address = {Madrid Spain},
month = {July},
year = {1997},
pages = {507--509},
abstract = {This paper presents a partial solution to a component of
the problem of lexical choice: choosing the synonym most
typical, or expected, in context. We apply a new
statistical approach to representing the context of a word
through lexical co-occurrence networks. The implementation
was trained and evaluated on a large corpus, and results
show that the inclusion of second-order co-occurrence
relations improves the performance of our implemented
lexical choice program.},
download = {http://ftp.cs.toronto.edu/pub/gh/Edmonds-97.pdf}
}
Downloads: 0
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