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» Using opinion-based features to boost sentence retrieval
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CANDC
2004
ACM
13 years 7 months ago
Retrieving definitional content for ontology development
Ontology construction requires an understanding of the meaning and usage of its encoded concepts. While definitions found in dictionaries or glossaries may be adequate for many co...
Lawrence H. Smith, W. John Wilbur
ACL
2006
13 years 9 months ago
Argumentative Feedback: A Linguistically-Motivated Term Expansion for Information Retrieval
We report on the development of a new automatic feedback model to improve information retrieval in digital libraries. Our hypothesis is that some particular sentences, selected ba...
Patrick Ruch, Imad Tbahriti, Julien Gobeill, Alan ...
ICDAR
2009
IEEE
14 years 2 months ago
Logo Matching for Document Image Retrieval
Graphics detection and recognition are fundamental research problems in document image analysis and retrieval. As one of the most pervasive graphical elements in business and gove...
Guangyu Zhu, David S. Doermann
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 2 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
WWW
2008
ACM
14 years 8 months ago
Ranking refinement and its application to information retrieval
We consider the problem of ranking refinement, i.e., to improve the accuracy of an existing ranking function with a small set of labeled instances. We are, particularly, intereste...
Rong Jin, Hamed Valizadegan, Hang Li