Multi-task text segmentation and alignment based on weighted mutual information

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2006, Pages 846-847

  Sun, Bingjun ^a   Zhou, Ding ^a   Zha, Hongyuan ^a   Yen, John ^b  

^a The Pennsylvania State University   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Multi task; Text alignment; Text segmentation; Weighted mutual information

Indexed keywords

TEXT PROCESSING;

MULTI-TASK; TEXT ALIGNMENT; TEXT SEGMENTATION; WEIGHTED MUTUAL INFORMATION;

INFORMATION ANALYSIS;

EID: 34547617165     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1183614.1183760     Document Type: Conference Paper

References (8)

1. R. Bekkerman, R. El-Yaniv, and A. McCallum. Multi-way distributional clustering via pairwise interactions. In Proc. ICML, 2005.
2. R. Caruana. Multitask learning. Machine Learning, 28:41-75, 1997.
3. F. Choi. Advances in domain indepedent linear text segmentation. In Proc. NAACL, pages 26-33, 2000.
4. S. Deerwester, S. Dumais, G. Furnas, T. Landauer, and R. Harshman. Indexing by latent semantic analysis. Journal of the American Society for Information Systems, 1990.
5. I. Dhillon, S. Mallela, and D. Modha. Information-theoretic co-clustering. In Proc. SIGKDD, pages 89-98, 2003.
6. T. Hofmann. Probabilistic latent semantic analysis. In Proc. UAI, 1999.
7. X. Ji and H. Zha. Domain-independent text segmentation using anisotropic diffusion and dynamic programming. In Proc. SIGIR, pages 322-329, 2003.
8. M. Utiyama and H. Isahara. A statistical model for domain-independent text segmentation. In Proc. ACL, pages 491-498, 1999.