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Indexing and Retrieval Strategies for Natural Language Fact Retrieval.

Janet L. Kolodner: Indexing and Retrieval Strategies for Natural Language Fact Retrieval. ACM Trans. Database Syst. 8(3): 434-464(1983)
@article{DBLP:journals/tods/Kolodner83,
  author    = {Janet L. Kolodner},
  title     = {Indexing and Retrieval Strategies for Natural Language Fact Retrieval},
  journal   = {ACM Trans. Database Syst.},
  volume    = {8},
  number    = {3},
  year      = {1983},
  pages     = {434-464},
  ee        = {http://doi.acm.org/10.1145/319989.319995, db/journals/tods/Kolodner83.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Researchers in artificial intelligence have recently become interested in natural language fact retrieval, currently, their research is at a point where it can begin contributing to the field of Information Retrieval. In this paper, strategies for a natural language fact retrieval system are mapped out, and approaches to many of the organization and retrieval problems are presented. The CYRUS system, which keeps track of important people and is queried in English, is presented and used to illustrate those solutions.

Copyright © 1983 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.

Joint ACM SIGMOD / IEEE Computer Society Anthology

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References

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E. F. Codd: Extending the Database Relational Model to Capture More Meaning. ACM Trans. Database Syst. 4(4): 397-434(1979) BibTeX
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Referenced by

  1. Carl S. Hartzman, Carolyn R. Watters: A Relational Approach to Querying Streams. IEEE Trans. Knowl. Data Eng. 2(4): 401-409(1990)
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