Hierarchical pitman-yor language model for information retrieval

SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2010, Pages 793-794

  Momtazi, Saeedeh ^a   Klakow, Dietrich ^a  

^a SAARLAND UNIVERSITY   (Germany)

Author keywords

Information retrieval; Language modeling; Pitman Yor process; Smoothing methods

Indexed keywords

BAYESIAN; COMMONLY USED; DIRICHLET DISTRIBUTIONS; DIRICHLET PRIOR; DOCUMENT RETRIEVAL; LANGUAGE MODEL; LANGUAGE MODELING; NATURAL LANGUAGES; NEW APPLICATIONS; PITMAN-YOR PROCESS; POWER LAW DISTRIBUTION; SMOOTHING METHODS; SMOOTHING TECHNIQUES; STATISTICAL PROPERTIES; WORD FREQUENCIES;

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

INFORMATION RETRIEVAL;

EID: 77956019241     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835449.1835619     Document Type: Conference Paper

References (6)

1. S. Huang and S. Renals. Hierarchical Pitman-Yor language models for ASR in meetings. In P roceedings of IEEE ASRU International Conference, pages 124-129, 2007.
2. S. Huang and S. Renals. Power law discounting for n-gram language models. In Proceed i ngs of IEEE ICASSP International Conference, 2010.
3. J. Ponte and W. Croft. A language modeling approach to information retrieval. In Proceedi ngs of ACM SIGIR International Conference, pages 275-281, 1998.
4. T. Strohman, D. Metzler, H. Turtle, and W. Croft. Indri: A language model-based search engine for complex queries. In P roceedin gs o f In ternational Conference on Intelligence Analysis, 2005.
5. Y. Teh. A hierarchical Bayesian language model based on Pitman-Yor process. In Proceedi ngs of ACL International Conference, 2006.
6. C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to ad hoc information retrieval. In Proceedi ngs of ACM SI GIR International Conference, 2001.