Large Neural Networks for the Resolution of Lexical

@inproceedings{RONIS1995LargeNN,
  title={Large Neural Networks for the Resolution of Lexical},
  author={J EAN V {\'E}RONIS and N ANCY I DE Groupe Repr{\'e}sentation},
  year={1995}
}
  • J EAN V ÉRONIS, N ANCY I DE Groupe Représentation
  • Published 1995
Many words have two or more very distinct meanings. For example, the word pen can refer to a writing implement or to an enclosure. Many natural language applications, including information retrieval, content analysis and automatic abstracting, and machine translation, require the resolution of lexical ambiguity for words in an input text, or are significantly improved when this can be accomplished. 1 That is, the preferred input to these applications is a text in which each word is "tagged… CONTINUE READING
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1 Excerpt

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