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» Word sense disambiguation in queries
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JMLR
2010
108views more  JMLR 2010»
13 years 4 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 10 months ago
Query result clustering for object-level search
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
SAC
2009
ACM
14 years 4 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
LREC
2008
76views Education» more  LREC 2008»
13 years 11 months ago
Smarty - Extendable Framework for Bilingual and Multilingual Comprehension Assistants
This paper discusses a framework for development of bilingual and multilingual comprehension assistants and presents a prototype implementation of an English-Bulgarian comprehensi...
Todor Arnaudov, Ruslan Mitkov
ACL
2010
13 years 7 months ago
WSD as a Distributed Constraint Optimization Problem
This work models Word Sense Disambiguation (WSD) problem as a Distributed Constraint Optimization Problem (DCOP). To model WSD as a DCOP, we view information from various knowledg...
Siva Reddy, Abhilash Inumella