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» Using opinion-based features to boost sentence retrieval
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CIKM
2009
Springer
13 years 11 months ago
Using opinion-based features to boost sentence retrieval
Opinion mining has become recently a major research topic. A wide range of techniques have been proposed to enable opinion-oriented information seeking systems. However, little is...
Ronald T. Fernández, David E. Losada
BIBE
2008
IEEE
109views Bioinformatics» more  BIBE 2008»
13 years 11 months ago
Retrieval and ranking of biomedical images using boosted haar features
— Retrieving similar images from large repository of heterogeneous biomedical images has been a difficult research task. In this paper, we develop a retrieval system that uses H...
Chandan K. Reddy, Fahima A. Bhuyan
SEMCO
2007
IEEE
13 years 11 months ago
Cross-Genre Feature Comparisons for Spoken Sentence Segmentation
Automatic sentence segmentation of spoken language is an important precursor to downstream natural language processing. Previous studies combine lexical and prosodic features, but...
Sébastien Cuendet, Dilek Z. Hakkani-Tü...
IJCAI
2007
13 years 6 months ago
Opinion Sentence Search Engine on Open-Domain Blog
We have introduced a search engine that can extract opinion sentences relevant to an open-domain query from Japanese blog pages. The engine identifies opinions based not only on p...
Osamu Furuse, Nobuaki Hiroshima, Setsuo Yamada, Ry...
CIKM
2009
Springer
13 years 11 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...