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» Challenges from Information Extraction to Information Fusion
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88
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CIKM
2009
Springer
15 years 7 months ago
Mining tourist information from user-supplied collections
Tourist photographs constitute a large part of the images uploaded to photo sharing platforms. But filtering methods are needed before one can extract useful knowledge from noisy ...
Adrian Popescu, Gregory Grefenstette, Pierre-Alain...
84
Voted
AAAI
2006
15 years 2 months ago
Efficient Active Fusion for Decision-Making via VOI Approximation
Active fusion is a process that purposively selects the most informative information from multiple sources as well as combines these information for achieving a reliable result ef...
Wenhui Liao, Qiang Ji
145
Voted
ACL
2010
14 years 10 months ago
Open Information Extraction Using Wikipedia
Information-extraction (IE) systems seek to distill semantic relations from naturallanguage text, but most systems use supervised learning of relation-specific examples and are th...
Fei Wu 0003, Daniel S. Weld
IJCAI
2003
15 years 2 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
100
Voted
CIKM
2006
Springer
15 years 4 months ago
CP/CV: concept similarity mining without frequency information from domain describing taxonomies
Domain specific ontologies are heavily used in many applications. For instance, these form the bases on which similarity/dissimilarity between keywords are extracted for various k...
Jong Wook Kim, K. Selçuk Candan