Evoking meaning by choosing the right words. Edmonds, P. In Proceedings of the First Student Conference in Computational Linguistics in Montreal, pages 80–87, Montreal Quebec, June, 1996.
abstract   bibtex   
Choosing the right word is difficult. One reason is that the context affects the meaning expressed by a word in complex ways. In particular, when a word is used in a context that is not normal for the word, it may evoke a special meaning. This paper presents a lexical choice process that chooses the word from a set of near-synonyms that best produces the desired effects in the given context. It relies on a clustered representation of lexical knowledge that unites both a statistical model of word co-occurrence (for determining when a word use will be marked) and knowledge-based model (for determining what specific effects will occur).
@InProceedings{	  edmonds6,
  author	= {Philip Edmonds},
  title		= {Evoking meaning by choosing the right words},
  booktitle	= {Proceedings of the First Student Conference in
		  Computational Linguistics in Montreal},
  address	= {Montreal Quebec},
  month		= {June},
  year		= {1996},
  pages		= {80--87},
  abstract	= {Choosing the right word is difficult. One reason is that
		  the context affects the meaning expressed by a word in
		  complex ways. In particular, when a word is used in a
		  context that is not normal for the word, it may evoke a
		  special meaning. This paper presents a lexical choice
		  process that chooses the word from a set of near-synonyms
		  that best produces the desired effects in the given
		  context. It relies on a clustered representation of lexical
		  knowledge that unites both a statistical model of word
		  co-occurrence (for determining when a word use will be
		  marked) and knowledge-based model (for determining what
		  specific effects will occur).},
  download	= {http://ftp.cs.toronto.edu/pub/gh/Edmonds-96.pdf}
}

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