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» On Scalable Information Retrieval Systems
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ACL
2006
15 years 8 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
ICIP
2010
IEEE
15 years 4 months ago
Image retrieval with feature selection and relevance feedback
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Yu Sun, Bir Bhanu
SIGIR
2005
ACM
16 years 6 days ago
Indexing emails and email threads for retrieval
Electronic mail poses a number of unusual challenges for the design of information retrieval systems and test collections, including informal expression, conversational structure,...
Yejun Wu, Douglas W. Oard
CLEF
2009
Springer
15 years 7 months ago
Patent Retrieval Experiments in the Context of the CLEF IP Track 2009
At CLEF 2009 the University of Hildesheim focused on the main task of the Intellectual Property Track which aims at finding prior art for a specified patent [cf. Information Retri...
Daniela Becks, Christa Womser-Hacker, Thomas Mandl...
CIKM
2009
Springer
15 years 10 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han