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» Discovering and Comparing Topic Hierarchies
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KDD
2005
ACM
185views Data Mining» more  KDD 2005»
15 years 10 months ago
Mining comparable bilingual text corpora for cross-language information integration
Integrating information in multiple natural languages is a challenging task that often requires manually created linguistic resources such as a bilingual dictionary or examples of...
Tao Tao, ChengXiang Zhai
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
ICIP
2004
IEEE
15 years 11 months ago
Discovering meaningful multimedia patterns with audio-visual concepts and associated text
The work presents the first effort to automatically annotate the semantic meanings of temporal video patterns obtained through unsupervised discovery processes. This problem is in...
Lexing Xie, Lyndon S. Kennedy, Shih-Fu Chang, Ajay...
87
Voted
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 2 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diď...
Xiao Zhang, Prasenjit Mitra
81
Voted
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
15 years 3 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu