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» A probabilistic language based on sampling functions
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IFIP
2010
Springer
15 years 1 months ago
Drivers of B2B Software Purchase Decisions
. Organizations are increasingly turning to large, enterprise-wide software systems as potential solutions to managing complex business-to-business (B2B) relationships. These syste...
Claudia Loebbecke, Thomas Weiss, Philip Powell, Ch...
SIGIR
2010
ACM
15 years 8 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
ECIR
2009
Springer
16 years 1 months ago
Joint Ranking for Multilingual Web Search
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
16 years 4 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
ANLP
2000
141views more  ANLP 2000»
15 years 5 months ago
Aggressive Morphology for Robust Lexical Coverage
This paper describes an approach to providing lexical information for natural language processing in unrestricted domains. A system of approximately 1200 morphological rules is us...
William A. Woods