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Research Toward the Development of a Lexical Knowledge Base for Natural Language Processing.

Robert A. Amsler: Research Toward the Development of a Lexical Knowledge Base for Natural Language Processing. SIGIR 1989: 242-249
@inproceedings{DBLP:conf/sigir/Amsler89,
  author    = {Robert A. Amsler},
  editor    = {Nicholas J. Belkin and
               C. J. van Rijsbergen},
  title     = {Research Toward the Development of a Lexical Knowledge Base for
               Natural Language Processing},
  booktitle = {SIGIR'89, 12th International Conference on Research and Development
               in Information Retrieval, Cambridge, Massachusetts, USA, June
               25-28, 1989, Proceedings},
  publisher = {ACM},
  year      = {1989},
  isbn      = {0-89791-321-3},
  pages     = {242-249},
  ee        = {db/conf/sigir/Amsler89.html},
  crossref  = {DBLP:conf/sigir/89},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

This paper documents research toward building a complete lexicon containing all the words found in general newspaper text. It is intended to provide the reader with an understanding of the inherent limitations of existing vocabulary collection methods and the need for greater attention to multi-word phrases as the building blocks of text. Additionally, while traditional reference books define many proper nouns, they appear to be very limited in their coverage of the new proper nouns appearing daily in newspapers. Proper nouns appear to require a grammar and lexicon of components much the way general parsing of text requires syntactic rules and a lexicon of common nouns.

Copyright © 1989 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Nicholas J. Belkin, C. J. van Rijsbergen (Eds.): SIGIR'89, 12th International Conference on Research and Development in Information Retrieval, Cambridge, Massachusetts, USA, June 25-28, 1989, Proceedings. ACM 1989, ISBN 0-89791-321-3
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