Extractive summarization using a latent variable model

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 2526-2529

  Celikyilmaz, Asli ^a   Hakkani Tür, Dilek ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

Author keywords

Discriminative classification; Summarization; Topic modeling

Indexed keywords

COMPUTER APPLICATIONS; COMPUTER SIMULATION; DATA MINING;

DISCRIMINATIVE CLASSIFIERS; DISCRIMINATIVE MODELS; EXTRACTIVE SUMMARIZATIONS; LATENT VARIABLE MODELING; MULTI-DOCUMENT SUMMARIZATION; STATE-OF-THE-ART METHODS; SUMMARIZATION; TOPIC MODELING; DISCRIMINATIVE CLASSIFICATION; MULTI DOCUMENTS SUMMARIZATION; OUTPUT VARIABLES; TOPIC DISTRIBUTIONS; USER QUERY;

SPEECH COMMUNICATION;

EID: 79959832487     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. P. Over and W. Liggett, "Introduction to duc: An intrinsic evaluation of generic news text summarization systems," in Proc. DUC, Philadelphia, PA, USA, July 2002.
2. D.R. Radev, H. Jing, M. Stys, and D. Tam, "Centroid-based summarization for multiple documents," in In Int. Jrnl. Information Processing and Management, 2004.
3. A. Nenkova and L. Vanderwende, "The impact of frequency on summarization.," in Tech. Report MSR-TR-2005-101, Microsoft Research, Redwood, Washington, 2005.
4. I. Titov and R. McDonald, "A joint model of text and aspect ratings for sentiment summarization," in ACL-08: HLT, 2008.
5. J. Tang, L. Yao, and D. Chens, "Multi-topic based query-oriented summarization," in SIAM International Conference Data Mining, 2009.
6. A. Haghighi and L. Vanderwende, "Exploring content models for multi-document summarization," in NAACL HLT-09, 2009.
7. C. Chemudugunta, P. Smyth, and M. Steyvers, "Modeling general and specific aspects of documents with probabilistic topic model," in Proc. NIPS-06, 2006.
8. D. M. Blei, A. Ng, and M. Jordan, "Latent dirichlet allocation," in Jrnl. Machine Learning Research, 3:993-1022, 2003.
9. C.-Y. Lin, G. Cao, J. Gao, and J.-Y. Nie, "An information-theoretic approach to automatic evaluation of summaries," in HLT-NAACL-06, 2006.
10. T. Griffiths and M. Steyvers, "Finding scientific topics," in PNAS, 101(Supp. 1): 5228-5235, 2004. (Pubitemid 38469131)
11. B. Boser, I. Guyon, and V. Vapnik, "A training algorithm for optimal margin classifier.," in Proc. 5th Workshop Computational Learning Theory, 1992.
12. J. Platt, "Probabilistic outputs for support vector machines and comparison to regularized likelihood methods.," in In A.J. Smola, P.L. Bartlett, B. Scholkopf and D. Schuurmans, eds. Advances in Large Margin Classifiers, 2000.
13. T.F. Wu, C.J. Lin, and R.C. Weng, "Probability estimates for multi-class classification by pairwise coupling.," in Jrnl. Machine Learning Research, 2004, vol. 5, pp. 975-1005.
14. C.-Y. Lin and E.H. Hovy, "Automatic evaluation of summaries using n-gram co-occurance statistics," in Proc. HLT-NAACL, Edmonton, Canada, 2003.
15. C.-Y. Lin, "Rouge: A package for automatic evaluation of summaries," in In Proc. ACL Workshop on Text Summarization Branches Out, 2004.
16. K. Toutanova, C. Brockett, M. Gamon, J. Jagarlamudi, H. Suzuki, and L. Vanderwende, "The PYTHY summarization system: Microsoft Research at DUC 2007," in Proc. DUC, 2007.
17. D. Gillick, Benoit Favre, and D. Hakkani-Tür, "The icsi summarization system at tac 2008," in Proc. NIST Text Analysis (TAC), 2008.