The automated acquisition of topic signatures for text summarization
C. Lin, and E. Hovy. Proceedings of the 18th conference on Computational linguistics - Volume 1, page 495--501. Stroudsburg, PA, USA, Association for Computational Linguistics, (2000)
DOI: 10.3115/990820.990892
Abstract
In order to produce a good summary, one has to identify the most relevant portions of a given text. We describe in this paper a method for automatically training topic signatures-sets of related words, with associated weights, organized around head topics and illustrate with signatures we created with 6,194 TREC collection texts over 4 selected topics. We describe the possible integration of topic signatures with outologies and its evaluaton on an automated text summarization system.
%0 Conference Paper
%1 citeulike:10063060
%A Lin, Chin Y.
%A Hovy, Eduard
%B Proceedings of the 18th conference on Computational linguistics - Volume 1
%C Stroudsburg, PA, USA
%D 2000
%I Association for Computational Linguistics
%K concept-extraction text-analysis
%P 495--501
%R 10.3115/990820.990892
%T The automated acquisition of topic signatures for text summarization
%U http://dx.doi.org/10.3115/990820.990892
%X In order to produce a good summary, one has to identify the most relevant portions of a given text. We describe in this paper a method for automatically training topic signatures-sets of related words, with associated weights, organized around head topics and illustrate with signatures we created with 6,194 TREC collection texts over 4 selected topics. We describe the possible integration of topic signatures with outologies and its evaluaton on an automated text summarization system.
%@ 1-55860-717-X
@inproceedings{citeulike:10063060,
abstract = {{In order to produce a good summary, one has to identify the most relevant portions of a given text. We describe in this paper a method for automatically training topic signatures-sets of related words, with associated weights, organized around head topics and illustrate with signatures we created with 6,194 TREC collection texts over 4 selected topics. We describe the possible integration of topic signatures with outologies and its evaluaton on an automated text summarization system.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {Stroudsburg, PA, USA},
author = {Lin, Chin Y. and Hovy, Eduard},
biburl = {https://www.bibsonomy.org/bibtex/2c72f8975c6124670dfcd6b885f5204f5/aho},
booktitle = {Proceedings of the 18th conference on Computational linguistics - Volume 1},
citeulike-article-id = {10063060},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=990892},
citeulike-linkout-1 = {http://dx.doi.org/10.3115/990820.990892},
doi = {10.3115/990820.990892},
interhash = {0439835a669805dcc1f59b94182d3de4},
intrahash = {c72f8975c6124670dfcd6b885f5204f5},
isbn = {1-55860-717-X},
keywords = {concept-extraction text-analysis},
location = {Saarbr\&\#252;cken, Germany},
pages = {495--501},
posted-at = {2013-07-08 19:47:21},
priority = {4},
publisher = {Association for Computational Linguistics},
series = {COLING '00},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{The automated acquisition of topic signatures for text summarization}},
url = {http://dx.doi.org/10.3115/990820.990892},
year = 2000
}