Topic Themes for Multi-Document Summarization: Difference between revisions
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== Bibliographical data == | == Bibliographical data == | ||
* '''Source''': SIGIR 2005: Proceedings of the 28<sup>th</sup> Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | * '''Source''': SIGIR 2005: Proceedings of the 28<sup>th</sup> Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | ||
* '''Pages''': 202-209 | * '''Pages''': 202-209 | ||
* '''Year''': 2005 | |||
* '''Authors''': Sanda Harabagiu and Finley Lacatusu | |||
* '''Publisher''': ACM | * '''Publisher''': ACM | ||
[http://portal.acm.org/citation.cfm?id=1076071&dl=GUIDE&coll=GUIDE&CFID=23571020&CFTOKEN=78251248# ACM] | [http://portal.acm.org/citation.cfm?id=1076071&dl=GUIDE&coll=GUIDE&CFID=23571020&CFTOKEN=78251248# ACM] | ||
Revision as of 16:43, 3 March 2009
Bibliographical data
- Source: SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
- Pages: 202-209
- Year: 2005
- Authors: Sanda Harabagiu and Finley Lacatusu
- Publisher: ACM
Abstract
The problem of using topic representations for multi-document summarization (MDS) has received considerable attention recently. In this paper, we describe five different topic representations and introduce a novel representation of topics based on topic themes. We present eight different methods of generating MDS and evaluate each of these methods on a large set of topics used in past DUC workshops. Our evaluation results show a significant improvement in the quality of summaries based on topic themes over MDS methods that use other alternative topic representations.