Detecting Content-Bearing Words by Serial Clustering.

Abraham Bookstein, Shmuel T. Klein, Timo Raita: Detecting Content-Bearing Words by Serial Clustering. SIGIR 1995: 319-327

@inproceedings{DBLP:conf/sigir/BooksteinKR95,
  author    = {Abraham Bookstein and
               Shmuel T. Klein and
               Timo Raita},
  editor    = {Edward A. Fox and
               Peter Ingwersen and
               Raya Fidel},
  title     = {Detecting Content-Bearing Words by Serial Clustering},
  booktitle = {SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval.
                Seattle, Washington, USA, July 9-13, 1995 (Special Issue of
               the SIGIR Forum)},
  publisher = {ACM Press},
  year      = {1995},
  isbn      = {0-89791-714-6},
  pages     = {319-327},
  ee        = {db/conf/sigir/BooksteinKR95.html},
  crossref  = {DBLP:conf/sigir/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Information Retrieval Systems typically distinguish between content bearing words and terms on a stop list. But "content-bearing" is relative to a collection. For optimal retrieval efficiency, it is desirable to have automated methods for custom building a stop list. This paper defines the notion of serial clustering of words in text, and explores the value of such clustering as an indicator of a word bearing content. The numerical measures we propose may also be of value in assigning weights to terms in requests. Experimental support is obtained from natural text databases in three different languages.

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Edward A. Fox, Peter Ingwersen, Raya Fidel (Eds.): SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA, July 9-13, 1995 (Special Issue of the SIGIR Forum). ACM Press 1995, ISBN 0-89791-714-6
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