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ISCAS OpenIR  > 基础软件国家工程研究中心  > 会议论文
Title:
a lexical chain approach for update-style query-focused multi-document summarization
Author: Li Jing ; Sun Le
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Conference Name: 4th Asia Information Retrieval Symposium
Conference Date: JAN 15-18,
Issued Date: 2008
Conference Place: Harbin, PEOPLES R CHINA
Keyword: multi-document summarization ; query-focused ; update-style ; lexical chain
Publisher: INFORMATION RETRIEVAL TECHNOLOGY
Publish Place: HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
ISSN: 0302-9743
ISBN: 978-3-540-68633-0
Department: Li, Jing; Sun, Le Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China.
Sponsorship: Microsoft Research Asia
English Abstract: In this paper we propose a novel chain scoring (chain selecting) method to enhance the performance of Lexical Chain algorithm in query-focused summarization and present an information filtering strategy to adapt Lexical Chain method to update-
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/10634
Appears in Collections:基础软件国家工程研究中心_会议论文

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Recommended Citation:
Li Jing,Sun Le. a lexical chain approach for update-style query-focused multi-document summarization[C]. 见:4th Asia Information Retrieval Symposium. Harbin, PEOPLES R CHINA. JAN 15-18,.
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