A System for Discovering Relationships by Feature Extraction from Text Databases.

Jack G. Conrad, Mary Hunter Utt: A System for Discovering Relationships by Feature Extraction from Text Databases. SIGIR 1994: 260-270

@inproceedings{DBLP:conf/sigir/ConradU94,
  author    = {Jack G. Conrad and
               Mary Hunter Utt},
  editor    = {W. Bruce Croft and
               C. J. van Rijsbergen},
  title     = {A System for Discovering Relationships by Feature Extraction
               from Text Databases},
  booktitle = {Proceedings of the 17th Annual International ACM-SIGIR Conference
               on Research and Development in Information Retrieval. Dublin,
               Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum)},
  publisher = {ACM/Springer},
  year      = {1994},
  isbn      = {3-540-19889-X},
  pages     = {260-270},
  ee        = {db/conf/sigir/ConradU94.html},
  crossref  = {DBLP:conf/sigir/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

A method for accessing text-based information using domain-specific features rather than documents alone is presented. The basis of this approach is the ability to automatically extract features from large text databases, and identify statistically significant relationships or associations between those features. The techniques supporting this approach are discussed, and examples from an application using these techniques, named the Associations System, are illustrated using the Wall Street Journal database. In this particular application, the features extracted are company and person names. The series of tests run on the Associations System demonstrate that feature extraction can be quite accurate, and that the relationships generated are reliable. In addition to conventional measures of recall and precision, evaluation measures are currently being studied which will indicate the usefulness of the relationships identified, in various domain-specific contexts.

Copyright © 1994 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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W. Bruce Croft, C. J. van Rijsbergen (Eds.): Proceedings of the 17th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Dublin, Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum). ACM/Springer 1994, ISBN 3-540-19889-X
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