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CIKM
2009
Springer
14 years 2 months ago
Topic and keyword re-ranking for LDA-based topic modeling
Topic-based text summaries promise to help average users quickly understand a text collection and derive insights. Recent research has shown that the Latent Dirichlet Allocation (...
Yangqiu Song, Shimei Pan, Shixia Liu, Michelle X. ...
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
14 years 2 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...
WEBI
2007
Springer
14 years 1 months ago
Mapping Ontologies Elements using Features in a Latent Space
This paper proposes a method for the mapping of ontologies that, in a greater extent than other approaches, discovers and exploits sets of latent features for approximating the in...
Vassilis Spiliopoulos, George A. Vouros, Vangelis ...
ACL
2008
13 years 9 months ago
Text Segmentation with LDA-Based Fisher Kernel
In this paper we propose a domainindependent text segmentation method, which consists of three components. Latent Dirichlet allocation (LDA) is employed to compute words semantic ...
Qi Sun, Runxin Li, Dingsheng Luo, Xihong Wu
CIKM
2009
Springer
14 years 2 months ago
Cross-language linking of news stories on the web using interlingual topic modelling
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...
Wim De Smet, Marie-Francine Moens