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Topic themes for multi-document summarization
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Salvador, Brazil
SESSION: Summarization table of contents
Pages: 202 - 209  
Year of Publication: 2005
ISBN:1-59593-034-5
Authors
Sanda Harabagiu  Language Computer Corporation, Richardson, TX
Finley Lacatusu  Language Computer Corporation, Richardson, TX
Sponsor
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 22,   Downloads (12 Months): 199,   Citation Count: 14
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  14

Collaborative Colleagues:
Sanda Harabagiu: colleagues
Finley Lacatusu: colleagues