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}
}
BibTeX
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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BibTeX
Printed Edition
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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