Topic segmentation with a structured topic model

NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference

Volumn , Issue , 2013, Pages 190-200

  Du, Lan ^a   Buntine, Wray ^b   Johnson, Mark ^a  

^a MACQUARIE UNIVERSITY   (Australia)

^b CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

INFERENCE ENGINES;

BAYESIAN SEGMENTATION; HIERARCHICAL BAYESIAN MODELING; INFERENCE ALGORITHM; POINT WISE; SAMPLING ALGORITHM; SIMPLE++; TOPIC MODELING; TOPIC SEGMENTATIONS; TOPIC STRUCTURES; UNSUPERVISED SEGMENTATION METHOD;

BAYESIAN NETWORKS;

EID: 84907030582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (37)

1. J. Allan, J. Carbonell, G. Doddington, J. Yamron, and Y. Yang. 1998. Topic detection and tracking pilot study: Final report. In Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop, pages 194-218.
2. Doug Beeferman, Adam Berger, and John Lafferty. 1999. Statistical models for text segmentation. Mach. Learn., 34(1-3):177-210.
3. David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet allocation. J. Mach. Learn. Res., 3:993-1022.
4. A. E. Boydstun, C. Phillips, and R. A. Glazier. 2011. Its the economy again, stupid: Agenda control in the 2008 presidential debates.
5. W. Buntine and M. Hutter. 2012. A Bayesian review of the Poisson-Dirichlet process. Technical Report arXiv:1007. 0296v2, ArXiv, Cornell.
6. Changyou Chen, Lan Du, and Wray Buntine. 2011. Sampling for the Poisson-Dirichlet process. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database, pages 296-311.
7. Freddy Y. Y. Choi. 2000. Advances in domain independent linear text segmentation. In Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference, NAACL 2000, pages 26-33.
8. Lan Du, Wray Buntine, and Huidong Jin. 2010. A segmented topic model based on the two-parameter Poisson-Dirichlet process. Mach. Learn., 81(1):5-19.
9. Lan Du, Wray Buntine, and Huidong Jin. 2012a. Modelling sequential text with an adaptive topic model. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 535-545.
10. Lan Du, Wray Buntine, Huidong Jin, and Changyou Chen. 2012b. Sequential latent Dirichlet allocation. Knowledge and Information Systems, 31(3):475-503.
11. Jacob Eisenstein and Regina Barzilay. 2008. Bayesian unsupervised topic segmentation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP'08, pages 334-343.
12. Jacob Eisenstein. 2009. Hierarchical text segmentation from multi-scale lexical cohesion. In Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, pages 353-361. The Association for Computational Linguistics.
13. Michel Galley, Kathleen R. McKeown, Eric Fosler-Lussier, and Hongyan Jing. 2003. Discourse segmentation of multi-party conversation. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, pages 562-569.
14. Sharon Goldwater, Thomas L. Griffiths, and Mark Johnson. 2009. A Bayesian framework for word segmentation: Exploring the effects of context. Cognition, 112(1):21-53.
15. Marti A. Hearst. 1997. TextTiling: segmenting text into multi-paragraph subtopic passages. Comput. Linguist., 23(1):33-64.
16. Leetsch C. Hsu and Peter Jau-Shyong Shiue. 1998. A unified approach to generalized Stirling numbers. Adv. Appl. Math., 20:366-384, April.
17. Sonia Jain and Radford Neal. 2004. A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model. Journal of Computational and Graphical Statistics, 13(1):158-182.
18. A. Janin, D. Baron, J. Edwards, D. Ellis, D. Gelbart, N. Morgan, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, and C. Wooters. 2003. The ICSI Meeting Corpus. In Proceedings of 2003 IEEE International Conference on Acoustics, Speech, and Signal (ICASSP '03), pages 364-367.
19. Shafiq Joty, Giuseppe Carenini, Gabriel Murray, and Raymond T. Ng. 2010. Exploiting conversation structure in unsupervised topic segmentation for emails. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 388-398.
20. Anna Kazantseva and Stan Szpakowicz. 2011. Linear text segmentation using affinity propagation. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 284-293.
21. Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, and Frederic Saubion. 2007. On evaluation methodologies for text segmentation algorithms. In Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence-Volume 02, ICTAI '07, pages 19-26.
22. Igor Malioutov and Regina Barzilay. 2006. Minimum cut model for spoken lecture segmentation. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, ACL-44, pages 25-32.
23. Hemant Misra, Olivier Cappe, and Francois Yvon. 2008. Using LDA to detect semantically incoherent documents. In Proceedings of CoNLL-08, pages 41-48.
24. Hemant Misra, Francois Yvon, Joemon M. Jose, and Olivier Cappe. 2009. Text segmentation via topic modeling: An analytical study. In Proceedings of the 18th ACM conference on Information and knowledge management, CIKM '09, pages 1553-1556.
25. Viet-An Nguyen, Jordan Boyd-Graber, and Philip Resnik. 2012. SITS: A hierarchical nonparametric model using speaker identity for topic segmentation in multiparty conversations. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 78-87.
26. Lev Pevzner and Marti A. Hearst. 2002. A critique and improvement of an evaluation metric for text segmentation. Comput. Linguist., 28(1):19-36.
27. J. Pitman and M. Yor. 1997. The two-parameter Poisson-Diriclet distribution derived from a stable subordinator. Annals Probability, 25:855-900.
28. Matthew Purver, Thomas L. Griffiths, Konrad P. Körding, and Joshua B. Tenenbaum. 2006. Unsupervised topic modelling for multi-party spoken discourse. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, ACL-44, pages 17-24.
29. Jeffrey C. Reynar. 1999. Statistical models for topic segmentation. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pages 357-364.
30. Martin Riedl and Chris Biemann. 2012. How text segmentation algorithms gain from topic models. In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
31. Gerard Salton, Amit Singhal, Chris Buckley, and Mandar Mitra. 1996. Automatic text decomposition using text segments and text themes. In Proceedings of the the seventh ACM conference on Hypertext, pages 53-65.
32. Qi Sun, Runxin Li, Dingsheng Luo, and Xihong Wu. 2008. Text segmentation with LDA-based Fisher kernel. In Proceedings of ACL-08: HLT, Short Papers, pages 269-272.
33. Y. W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei. 2006. Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101(476):1566-1581.
34. Y. W. Teh. 2006. A Bayesian interpretation of interpolated Kneser-Ney. Technical Report TRA2/06, School of Computing, National University of Singapore.
35. Masao Utiyama and Hitoshi Isahara. 2001. A statistical model for domain-independent text segmentation. In Proceedings of 39th Annual Meeting of the Association for Computational Linguistics, pages 499-506.
36. H. M. Wallach. 2008. Structured topic models for language. doctoral dissertation, Univ. of Cambridge.
37. Hongning Wang, Duo Zhang, and ChengXiang Zhai. 2011. Structural topic model for latent topical structure analysis. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 1526-1535.