Document update summarization using incremental hierarchical clustering

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 279-287

  Wang, Dingding ^a   Li, Tao ^a  

^a The Department of Electrical and Computer Engineering   (United States)

Author keywords

Incremental hierarchical clustering; Update summarization

Indexed keywords

DOCUMENT SUMMARIZATION; HIER-ARCHICAL CLUSTERING; REAL TIME; UPDATE SUMMARIZATION;

ABSTRACTING;

KNOWLEDGE MANAGEMENT;

EID: 78651294513     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871476     Document Type: Conference Paper

References (24)

1. http://www.nist.gov/tac/.
2. M. Charikar, C. Chekuri, T. Feder, and R. Motwani. Incremental clustering and dynamic information retrieval. In Proceedings of STOC 1997.
3. J. Conroy and D. O'Leary. Text summarization via hidden markov models. In Proceedings of SIGIR 2001.
4. C. Ding and X. He. K-means clustering and principal component analysis. In Prodeedings of ICML 2004.
5. C. Ding, X. He, and H. Simon. On the equivalence of nonnegative matrix factorization and spectral clustering. In Proceedings of Siam Data Mining, 2005.
6. G. Erkan and D. Radev. Lexpagerank: Prestige in multi-document text summarization. In Proceedings of EMNLP 2004, 2004.
7. D. H. Fisher. Knowledge acquisition via incremental conceptual clustering. Machine Learning, pages 2:139-172, 1987.
8. J. H. Gennari, P. Langley, and D. Fisher. Models of incremental concept formation. Journal of A rtificial Intelligence, pages 40:11-61, 1989.
9. Y. Gong and X. Liu. Generic text summarization using relevance measure and latent semantic analysis. In Proceedings of SIGIR 2001.
10. S. Guha, N. Mishra, R. Motwani, and L. OárCallaghan. Clustering data streams. IEEE Symposium on Foundations of Computer Science, 2000.
11. C. Gupta and R. Grossman. A single pass generalized incremental algorithm for clustering. In Proceedings of SIAM Data Mining 2004.
12. S. M. Katz. Distribution of content words and phrases in text and language modelling. Nat. Lang. Eng., pages 2(1):15-59, 1996.
13. C.-Y. Lin and E. Hovy. Automatic evaluation of summaries using n-gram co-occurrence statistics. In Proceedings of NLT-NAACL 2003.
14. C.-Y. Lin and E. Hovy. From single to multi-document summarization: A prototype system and its evaluation. In Proceedings of ACL 2002, 2002.
15. I. Mani. Automatic summarization. John Benjamins Publishing Company, 2001.
16. R. Mihalcea and P. Tarau. A language independent algorithm for single and multiple document summarization. In Proceedings of IJCNLP 2005.
17. S. Park, J.-H. Lee, D.-H. Kim, and C.-M. Ahn. Multi-document summarization based on cluster using non-negtive matrix factorization. In Proceedings of SOFSEM 2007.
18. D. Radev, H. Jing, M. Stys, and D. Tam. Centroid-based summarization of multiple documents. Information Processing and Management, pages 919-938, 2004.
19. B. Ricardo and R. Berthier. Modern information retrieval. ACM Press, 1999.
20. N. Sahoo, J. Callan, R. Krishnan, G. Duncan, and R. Padman. Incremental hierarchical clustering of text documents. In Proceedings of CIKM 2006.
21. D. Shen, J.-T. Sun, H. Li, Q. Yang, and Z. Chen. Document summarization using conditional random fields. In Proceedings of IJCAI 2007, 2007.
22. X. Wan and J. Yang. Multi-document summarization using cluster-based link analysis. In Proceedings of the Thirty-First Annual International SIGIR Conference, 2008.
23. D. Wang, T. Li, S. Zhu, and C. Ding. Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. In Proceedings of SIGIR 2008.
24. W.-T. Yih, J. Goodman, L. Vanderwende, and H. Suzuki. Multi-document summarization by maximizing informative content-words. In Proceedings of IJCAI 2007, 2007.