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» Querying Probabilistic Information Extraction
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WWW
2007
ACM
14 years 8 months ago
MedSearch: a specialized search engine for medical information
People are thirsty for medical information. Existing Web search engines often cannot handle medical search well because they do not consider its special requirements. Often a medi...
Gang Luo, Chunqiang Tang, Hao Yang, Xing Wei
ICDE
2008
IEEE
127views Database» more  ICDE 2008»
14 years 9 months ago
Optimizing SQL Queries over Text Databases
Text documents often embed data that is structured in nature, and we can expose this structured data using information extraction technology. By processing a text database with inf...
Alpa Jain, AnHai Doan, Luis Gravano
SIGIR
2009
ACM
14 years 2 months ago
Web-derived resources for web information retrieval: from conceptual hierarchies to attribute hierarchies
A weakly-supervised extraction method identifies concepts within conceptual hierarchies, at the appropriate level of specificity (e.g., Bank vs. Institution), to which attribute...
Marius Pasca, Enrique Alfonseca
SIGIR
2012
ACM
11 years 10 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
TKDE
2010
224views more  TKDE 2010»
13 years 6 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