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» Finding document topics for improving topic segmentation
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ECAI
2000
Springer
15 years 8 months ago
Enriching very large ontologies using the WWW
This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW...
Eneko Agirre, Olatz Ansa, Eduard H. Hovy, David Ma...
ICML
2006
IEEE
16 years 5 months ago
Pachinko allocation: DAG-structured mixture models of topic correlations
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Wei Li, Andrew McCallum
ICML
2009
IEEE
15 years 11 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...
ACL
2009
15 years 2 months ago
Employing Topic Models for Pattern-based Semantic Class Discovery
A semantic class is a collection of items (words or phrases) which have semantically peer or sibling relationship. This paper studies the employment of topic models to automatical...
Huibin Zhang, Mingjie Zhu, Shuming Shi, Ji-Rong We...
ERCIMDL
2003
Springer
106views Education» more  ERCIMDL 2003»
15 years 9 months ago
Topical Crawling for Business Intelligence
Abstract. The Web provides us with a vast resource for business intelligence. However, the large size of the Web and its dynamic nature make the task of foraging appropriate inform...
Gautam Pant, Filippo Menczer