A Full-Text Retrieval System with a Dynamic Abstract Generation Function.
Seiji Miike, Etsuo Itoh, Kenji Ono, Kazuo Sumita:
A Full-Text Retrieval System with a Dynamic Abstract Generation Function.
SIGIR 1994: 152-161@inproceedings{DBLP:conf/sigir/MiikeIOS94,
author = {Seiji Miike and
Etsuo Itoh and
Kenji Ono and
Kazuo Sumita},
editor = {W. Bruce Croft and
C. J. van Rijsbergen},
title = {A Full-Text Retrieval System with a Dynamic Abstract Generation
Function},
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 = {152-161},
ee = {db/conf/sigir/MiikeIOS94.html},
crossref = {DBLP:conf/sigir/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
We have developed a Japanese full-text retrieval system named BREVIDOC that enables the user to specify an area within a text for abstraction and to control the volume of the abstract interactively.
This system analyzes a document structure using linguistic knowledge only and thus is domain-independent.
In its text structure analysis, the system determines relations among paragraphs and sentences, based on linguistic clues such as connective, anaphoric expressions, and idiomatic expressions.
The system analyzes and stores the text structure in advance so that it can generate an abstract in real time by selecting sentences according to relative importance of rhetorical relations among the sentences.
The retrieval system works on an engineering workstation.
Copyright © 1994 by the ACM,
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BibTeX
Printed Edition
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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