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» Lexical Entailment for Information Retrieval
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MM
2005
ACM
171views Multimedia» more  MM 2005»
14 years 1 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
CORIA
2009
13 years 8 months ago
Clustering en recherche d'information : concentration vs distribution de l'information pertinente
Relying on the Cluster Hypothesis, which states that relevant documents tend to be more similar one to each other than to non-relevant ones, most of information retrieval systems p...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
LREC
2010
181views Education» more  LREC 2010»
13 years 9 months ago
Generating FrameNets of Various Granularities: The FrameNet Transformer
We present a method and a software tool, the FrameNet Transformer, for deriving customized versions of the FrameNet database based on frame and frame element relations. The FrameN...
Josef Ruppenhofer, Jonas Sunde, Manfred Pinkal
SIGIR
2005
ACM
14 years 1 months ago
Noun sense induction using web search results
This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any...
Goldee Udani, Shachi Dave, Anthony Davis, Tim Sibl...
LREC
2008
126views Education» more  LREC 2008»
13 years 9 months ago
Identifying Strategic Information from Scientific Articles through Sentence Classification
We address here the need to assist users in rapidly accessing the most important or strategic information in the text corpus by identifying sentences carrying specific information...
Fidelia Ibekwe-Sanjuan, Chaomei Chen, Roberto Pinh...