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» Topic Models Conditioned on Relations
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DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
14 years 10 months ago
Identifying Sentence-Level Semantic Content Units with Topic Models
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...
ICASSP
2008
IEEE
15 years 3 months ago
Discriminative feature weighting using MCE training for topic identification of spoken audio recordings
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...
Timothy J. Hazen, Anna Margolis
ECIR
2010
Springer
14 years 11 months ago
Extracting Multilingual Topics from Unaligned Comparable Corpora
Topic models have been studied extensively in the context of monolingual corpora. Though there are some attempts to mine topical structure from cross-lingual corpora, they require ...
Jagadeesh Jagarlamudi, Hal Daumé III
ICML
2009
IEEE
15 years 4 months ago
Independent factor topic models
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
14 years 7 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen