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» Statistical Language Models for Information Retrieval
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SEMWEB
2007
Springer
15 years 3 months ago
Ontology-Based Information Extraction for Business Intelligence
Abstract. Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers...
Horacio Saggion, Adam Funk, Diana Maynard, Kalina ...
KES
2007
Springer
15 years 3 months ago
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Nicola Fanizzi, Claudia d'Amato
KAIS
2006
121views more  KAIS 2006»
14 years 9 months ago
TEG-a hybrid approach to information extraction
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko
MT
2006
116views more  MT 2006»
14 years 9 months ago
Dependency treelet translation: the convergence of statistical and example-based machine-translation?
We describe a novel approach to machine translation that combines the strengths of the two leading corpus-based approaches: Phrasal SMT and EBMT. We use a syntactically informed d...
Christopher Quirk, Arul Menezes
SIGIR
2010
ACM
14 years 4 months ago
Web N-gram workshop 2010
The Web N-gram Workshop was held on July 23, 2010 in Geneva, Switzerland, in conjunction with the 33rd Annual ACM SIGIR Conference. The workshop brought together leaders in inform...
Chengxiang Zhai, Kuansan Wang, David Yarowsky, Ste...