Automatic text summarization based on relevance feedback with query splitting

Kyoung Soo Han; Dae Ho Back; Hae Chang Rim

doi:10.1145/355214.355244

Automatic text summarization based on relevance feedback with query splitting

Kyoung Soo Han, Dae Ho Back, Hae Chang Rim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

Abstract

This paper describes a method of text summarization using a query expansion technique, Generally, summarization systems using query expansion have the problem that feedback query gets biased during a query expansion process. We can alleviate this problem by expanding the initial query into several split feedback queries. Experimental results show that our query splitting method is superior to other methods using query expansion.

Original language	English
Title of host publication	Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000
Publisher	Association for Computing Machinery, Inc
Pages	201-202
Number of pages	2
ISBN (Electronic)	1581133006, 9781581133004
DOIs	https://doi.org/10.1145/355214.355244
Publication status	Published - 2000 Nov 1
Event	5th International Workshop on Information Retrieval with Asian Languages, IRAL 2000 - Hong Kong, China Duration: 2000 Sept 30 → 2000 Oct 1

Publication series

Name	Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000

Other

Other	5th International Workshop on Information Retrieval with Asian Languages, IRAL 2000
Country/Territory	China
City	Hong Kong
Period	00/9/30 → 00/10/1

Bibliographical note

Publisher Copyright:
Copyright 2000 ACM.

Keywords

Query expansion
Query splitting
Text summarization

ASJC Scopus subject areas

Computer Science Applications
Information Systems

Access to Document

10.1145/355214.355244

Cite this

Han, K. S., Back, D. H., & Rim, H. C. (2000). Automatic text summarization based on relevance feedback with query splitting. In Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000 (pp. 201-202). (Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000). Association for Computing Machinery, Inc. https://doi.org/10.1145/355214.355244

Automatic text summarization based on relevance feedback with query splitting. / Han, Kyoung Soo; Back, Dae Ho; Rim, Hae Chang.
Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000. Association for Computing Machinery, Inc, 2000. p. 201-202 (Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Han, KS, Back, DH & Rim, HC 2000, Automatic text summarization based on relevance feedback with query splitting. in Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000. Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000, Association for Computing Machinery, Inc, pp. 201-202, 5th International Workshop on Information Retrieval with Asian Languages, IRAL 2000, Hong Kong, China, 00/9/30. https://doi.org/10.1145/355214.355244

Han KS, Back DH, Rim HC. Automatic text summarization based on relevance feedback with query splitting. In Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000. Association for Computing Machinery, Inc. 2000. p. 201-202. (Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000). doi: 10.1145/355214.355244

Han, Kyoung Soo ; Back, Dae Ho ; Rim, Hae Chang. / Automatic text summarization based on relevance feedback with query splitting. Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000. Association for Computing Machinery, Inc, 2000. pp. 201-202 (Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000).

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Automatic text summarization based on relevance feedback with query splitting

Abstract

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Keywords

ASJC Scopus subject areas

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