The Identification of Important Concepts in Highly Structured Technical Papers.

Chris D. Paice, Paul A. Jones: The Identification of Important Concepts in Highly Structured Technical Papers. SIGIR 1993: 69-78

@inproceedings{DBLP:conf/sigir/PaiceJ93,
  author    = {Chris D. Paice and
               Paul A. Jones},
  editor    = {Robert Korfhage and
               Edie M. Rasmussen and
               Peter Willett 0002},
  title     = {The Identification of Important Concepts in Highly Structured
               Technical Papers},
  booktitle = {Proceedings of the 16th Annual International ACM-SIGIR Conference
               on Research and Development in Information Retrieval. Pittsburgh,
               PA, USA, June 27 - July 1, 1993},
  publisher = {ACM},
  year      = {1993},
  isbn      = {0-89791-605-0},
  pages     = {69-78},
  ee        = {db/conf/sigir/PaiceJ93.html},
  crossref  = {DBLP:conf/sigir/93},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Automatic abstracting, typically based on extraction of important sentences from a text, has been treated as a largely separate task from automatic indexing. This paper describes an approach in which the indexing and abstracting tasks are effectively combined. It is applicable to highly structured empirical research papers, whose content can be organised using a semantic frame. During a scan of a source text, stylistic clues and constructs are used for extracting candidate fillers for the various slots in the frame. Subsequently, an actual concept name is chosen for each slot by comparing the various candidates and their weights.

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Robert Korfhage, Edie M. Rasmussen, Peter Willett (Eds.): Proceedings of the 16th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Pittsburgh, PA, USA, June 27 - July 1, 1993. ACM 1993, ISBN 0-89791-605-0
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