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The use of MMR, diversity-based reranking for reordering documents and producing summaries
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Melbourne, Australia
Pages: 335 - 336  
Year of Publication: 1998
ISBN:1-58113-015-5
Authors
Jaime Carbonell  Language Technologies Institute, Carnegie Mellon University
Jade Goldstein  Language Technologies Institute, Carnegie Mellon University
Sponsors
University of Melbourne : University of Melbourne
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 32,   Downloads (12 Months): 337,   Citation Count: 136
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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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J.G.Carbonell, Y. Geng, and J. Goldstein. Automated query-relevant summarization and diversity-based reranking. In 15th International Joint ConJerence on Artificial Intelligence, Workshop: AI in Digital Libraries, pages 9- 14, Nagoya, Japan, August 1997.
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P.H. Luhn. Automatic creation of literature abstracts. IBM Journal, pages 159-165, 1958.
 
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In TIPSTER Text Phase 11I 18-Month Workshop, Fairfax, VA, May 1998.

CITED BY  136

Collaborative Colleagues:
Jaime Carbonell: colleagues
Jade Goldstein: colleagues