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}
}

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