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» Graph-based Word Clustering using a Web Search Engine
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NIPS
2008
14 years 2 days ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
WWW
2008
ACM
14 years 11 months ago
Query-sets: using implicit feedback and query patterns to organize web documents
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
Barbara Poblete, Ricardo A. Baeza-Yates
JCB
2007
106views more  JCB 2007»
13 years 10 months ago
Clustered Sequence Representation for Fast Homology Search
We present a novel approach to managing redundancy in sequence databanks such as GenBank. We store clusters of near-identical sequences as a representative union-sequence and a se...
Michael Cameron, Yaniv Bernstein, Hugh E. Williams
ECIR
2006
Springer
14 years 1 days ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski
ICWS
2007
IEEE
14 years 2 days ago
Search Algorithms for Discovery of Web Services
Web services are designed to standardize interactions between heterogeneous applications using Internet technologies. Within the framework of Internet search technologies, Web ser...
Janette Hicks, Madhusudhan Govindaraju, Weiyi Meng