Spitters M, Kraaij W. Using language models for trackingevents of interest over time//Proceedings of LMIR 2001. Pittsburgh: , 2001: 60-65.
[2]
Allan J, Carbonell J, Doddington G, et al. Topic detection and tracking pilot study: final report//Proceedings of DARPA BNTU Workshop. Lansdowne: DARPA, 1998: 194-218.
[3]
Chen F, Farahat A, Brants T. Multiple similarity measures and source-pair information in story link detection//HLT-NAACL. Boston: , 2004: 313-320.
[4]
Makkonen J, Anonen-Myka H, Salmenkivi M. Simple semantics in topic detection and tracking [J]. Information Retrieval, 2004, 7(3/4): 347-368.
[5]
Blei D M, Ng A Y, Jordan M I. Latent dirichlet allocation[J]. Journal of Machine Learning Research, 2003, 3(5): 993-1022.
[6]
Ferguson T S. A Bayesian analysis of some nonparametric problems[J]. Annals of Statistics, 1973,1(2): 209-230.
[7]
Neal R M. Markov chain sampling methods for dirichlet process mixture models[J]. Journal of Computational and Graphical Statistics, 2000, 9(2): 249-265.
[8]
Qiu Jing, Liao Lejian. Add temporal information to dependency structure language model for topic detection and tracking//ICMLC. Kunming: IEEE Press, 2008: 1575-1580.
[9]
Fukumoto F, Suzuki Y. Using graph-based indexing to identify subject-shift in topic tracking//LTC2007. Poznan: , 2009: 392-404.
