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TKDE
2010
224views more  TKDE 2010»
14 years 8 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
DLOG
1997
14 years 11 months ago
Action Hierarchies in Description Logics
Our project aims at the automatic generation of multilingual text for product maintenance and documentation from a structured knowledge representation formalized by means of plans...
Thorsten Liebig, Dietmar Rösner
CORR
2004
Springer
128views Education» more  CORR 2004»
14 years 9 months ago
Unsupervised Topic Adaptation for Lecture Speech Retrieval
We are developing a cross-media information retrieval system, in which users can view specific segments of lecture videos by submitting text queries. To produce a text index, the ...
Atsushi Fujii, Katunobu Itou, Tomoyosi Akiba, Tets...
104
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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 3 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
CIT
2005
Springer
14 years 9 months ago
Simple Classification into Large Topic Ontology of Web Documents
The paper presents an approach to classifying Web documents into large topic ontology. The main emphasis is on having a simple approach appropriate for handling a large ontology an...
Marko Grobelnik, Dunja Mladenic