Sciweavers

4 search results - page 1 / 1
» Orthogonal Negation in Vector Spaces for Modelling Word-Mean...
Sort
View
ACL
2003
13 years 5 months ago
Orthogonal Negation in Vector Spaces for Modelling Word-Meanings and Document Retrieval
Standard IR systems can process queries such as “web NOT internet”, enabling users who are interested in arachnids to avoid documents about computing. The documents retrieved ...
Dominic Widdows
IIR
2010
13 years 5 months ago
Semantic Vectors: an Information Retrieval Scenario
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
SIGIR
2005
ACM
13 years 10 months ago
Orthogonal locality preserving indexing
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He
CIKM
2008
Springer
13 years 6 months ago
Active relevance feedback for difficult queries
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
Zuobing Xu, Ram Akella