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TKDE
2010
224views more  TKDE 2010»
13 years 8 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
WWW
2005
ACM
14 years 10 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
CIKM
1999
Springer
14 years 2 months ago
Performance and Implications of Semantic Indexing in a Distributed Environment
A research prototype is presented for semantic indexing and retrieval in Information Retrieval. The prototype is motivated by a desire to provide a more efficient and effective in...
Conrad T. K. Chang, Bruce R. Schatz
IR
2010
13 years 8 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
ASIAMS
2008
IEEE
14 years 4 months ago
Intelligent Web Caching Using Neurocomputing and Particle Swarm Optimization Algorithm
Web caching is a technology for improving network traffic on the internet. It is a temporary storage of Web objects (such as HTML documents) for later retrieval. There are three s...
Sarina Sulaiman, Siti Mariyam Hj. Shamsuddin, Fadn...