Abstract
In this paper we present a generic, language independent multi-document summarization system forming extracts using the cover coefficient concept. Cover Coefficient-based Summarizer (CCS) uses similarity between sentences to determine representative sentences. Experiments indicate that CCS is an efficient algorithm that is able to generate quality summaries online.
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References
Barzilay, R., Elhadad, M.: Using lexical chains for text summarization. In: Proceedings of the ACL/EACL, pp. 10–17 (1997)
Marcu, D.: From discourse structures to text summaries. In: Proceedings of the ACL/EACL, pp. 82–88 (1997)
Radev, D., Jing, H., Budzikowska, M.: Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies. In: Proceedings of NAACL-ANLP, pp. 919–938 (2000)
Gunes, E., Radev, D.R.: LexRank: graph-based centrality as salience in text summarization. Journal of Artificial Intelligence Research (JAIR) 22, 457–479 (2004)
Carbonell, J.G., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: Proceedings of Special Interest Group of Information Retrieval, pp. 335–336 (1998)
Can, F., Ozkarahan, E.A.: Concepts and effectiveness of the cover-coefficient-based clustering methodology for text databases. ACM Transactions on Database Systems 15(4), 483–517 (1990)
Document Understanding Conference, http://duc.nist.gov
Lin, C., Hovy, E.H.: Automatic evaluation of summaries using n-gram co-occurrence statistics. In: Proceedings of 2003 Language Technology Conference (HLT-NAACL 2003), pp. 71–78 (2003)
Can, F.: Incremental clustering for dynamic information processing. ACM Transactions on Information Systems 11(2), 143–164 (1993)
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Ercan, G., Can, F. (2009). Cover Coefficient-Based Multi-document Summarization. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds) Advances in Information Retrieval. ECIR 2009. Lecture Notes in Computer Science, vol 5478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00958-7_64
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DOI: https://doi.org/10.1007/978-3-642-00958-7_64
Publisher Name: Springer, Berlin, Heidelberg
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