Best topic word selection for topic labelling

Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference

Volumn 2, Issue , 2010, Pages 605-613

  Lau, Jey Han ^a,b   Newman, David ^a,c   Karimi, Sarvnaz ^a   Baldwin, Timothy ^a,b  

^a CSIRO   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS-DOMAIN; DIFFERENT DOMAINS; DOCUMENT COLLECTION; NOVEL TASK; RE-RANKING; TOPIC MODEL;

COMPUTATIONAL LINGUISTICS; VISUALIZATION;

MODELS;

EID: 80052660921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Blei, D.M., A.Y. Ng, and M.I. Jordan. 2003. Latent Dirichlet allocation. Journal of Machine Learning Research, 3:993-1022.
2. Brody, S. and M. Lapata. 2009. Bayesian word sense induction. In Proceedings of the 12th Conference of the EACL (EACL 2009), pages 103-111, Athens, Greece.
3. Chang, J., J. Boyd-Graber, S. Gerrish, C. Wang, and D. Blei. 2009. Reading tea leaves: How humans interpret topic models. In Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), pages 288-296, Vancouver, Canada.
4. Griffiths, T. and M. Steyvers. 2004. Finding scientific topics. Proceedings of the National Academy of Sciences, 101:5228-5235. (Pubitemid 38469131)
5. Haghighi, A. and L. Vanderwende. 2009. Exploring content models for multi-document summarization. In Proceedings of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies 2009 (NAACL HLT 2009), pages 362-370, Boulder, USA.
6. Joachims, T. 2006. Training linear SVMs in linear time. In Proceedings of the ACM Conference on Knowledge Discovery and Data Mining (KDD), pages 217-226, Philadelphia, USA. (Pubitemid 44535518)
7. Magatti, D., S. Calegari, D. Ciucci, and F. Stella. 2009. Automatic labeling of topics. In Proceedings of the International Conference on Intelligent Systems Design and Applications, pages 1227-1232, Pisa, Italy.
8. Mei, Q., C. Liu, H. Su, and C. Zhai. 2006. A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In Proceedings of the 15th International World Wide Web Conference (WWW 2006), pages 533-542. (Pubitemid 46946647)
9. Mei, Q., X. Shen, and C. Zhai. 2007. Automatic labeling of multinomial topic models. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007), pages 490-499, San Jose, USA. (Pubitemid 350229234)
10. Newman, D., J.H. Lau, K. Grieser, and T. Baldwin. 2010. Automatic evaluation of topic coherence. In Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2010), pages 100-108, Los Angeles, USA.
11. Pantel, P. and D. Lin. 2002. Discovering word senses from text. In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 613-619, Edmonton, Canada.
12. Pantel, P. and D. Ravichandran. 2004. Automatically labeling semantic classes. In Proceedings of the 4th International Conference on Human Language Technology Research and 5th Annual Meeting of the NAACL (HLT-NAACL 2004), pages 321- 328, Boston, USA.
13. Pantel, P., E. Crestan, A. Borkovsky, A-M. Popescu, and V. Vyas. 2009. Web-scale distributional similarity and entity set expansion. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP 2009), pages 938-947, Singapore.
14. Ritter, A, Mausam, and O Etzioni. to appear. A latent Dirichlet allocation method for selectional preferences. In Proceedings of the 48th Annual Meeting of the ACL (ACL 2010), Uppsala, Sweden.
15. Titov, I. and R. McDonald. 2008. Modeling online reviews with multi-grain topic models. In Proceedings of the 17th International World Wide Web Conference (WWW 2008), pages 111-120, Beijing, China.
16. Wang, X. and A. McCallum. 2006. Topics over time: A non-Markov continuous-time model of topical trends. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), pages 424-433, Philadelphia, USA. (Pubitemid 44535539)
17. Wei, S. and W.B. Croft. 2006. LDA-based document models for ad-hoc retrieval. In Proceedings of 29th International ACM-SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2006), pages 178-185, Seattle, USA.