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» A Generic Approach to Topic Models
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ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
14 years 3 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
NLPRS
2001
Springer
14 years 1 months ago
Topic Segmentation : A First Stage to Dialog-Based Information Extraction
We study the problem of topic segmentation of manually transcribed speech in order to facilitate information extraction from dialogs. Our approach is based on a combination of mul...
Narjès Boufaden, Guy Lapalme, Yoshua Bengio
NIPS
2004
13 years 10 months ago
Integrating Topics and Syntax
Statistical approaches to language learning typically focus on either short-range syntactic dependencies or long-range semantic dependencies between words. We present a generative...
Thomas L. Griffiths, Mark Steyvers, David M. Blei,...
EMNLP
2008
13 years 10 months ago
Bayesian Unsupervised Topic Segmentation
This paper describes a novel Bayesian approach to unsupervised topic segmentation. Unsupervised systems for this task are driven by lexical cohesion: the tendency of wellformed se...
Jacob Eisenstein, Regina Barzilay
TREC
2003
13 years 10 months ago
Approaches to Robust and Web Retrieval
: We describe our participation in the TREC 2003 Robust and Web tracks. For the Robust track, we experimented with the impact of stemming and feedback on the worst scoring topics. ...
Jaap Kamps, Christof Monz, Maarten de Rijke, B&oum...