A phrase-discovering topic model using hierarchical pitman-yor processes

EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference

Volumn , Issue , 2012, Pages 214-222

  Lindsey, Robert V ^a   Headden III, William P ^b   Stipicevic, Michael J ^c  

^a UNIVERSITY OF COLORADO   (United States)

^b Two Cassowaries Inc   (United States)

^c GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE INFERENCE; COMPETING MODELS; DATA MINING APPLICATIONS; HYPERPARAMETERS; MARKOV CHAIN MONTE CARLO TECHNIQUES; PROBABILISTIC MODELING; SLICE SAMPLINGS; TOPIC MODELING;

INFORMATION RETRIEVAL; MONTE CARLO METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS;

MODELS;

EID: 84874480358     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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