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BDA
2007
14 years 11 months ago
BMatch: a Semantically Context-based Tool Enhanced by an Indexing Structure to Accelerate Schema Matching
Schema matching is a crucial task to gather information of the same domain. This is more true on the web, where a large number of data sources are available and require to be matc...
Fabien Duchateau, Zohra Bellahsene, Mathieu Roche
107
Voted
CIVR
2007
Springer
247views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Near-duplicate keyframe retrieval with visual keywords and semantic context
Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by explo...
Xiao Wu, Wanlei Zhao, Chong-Wah Ngo
COGSCI
2010
114views more  COGSCI 2010»
14 years 9 months ago
Strudel: A Corpus-Based Semantic Model Based on Properties and Types
Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meani...
Marco Baroni, Brian Murphy, Eduard Barbu, Massimo ...
ACL
1998
14 years 10 months ago
Target Word Selection as Proximity in Semantic Space
Lexical selection is a significant problem for widecoverage machine translation: depending on the context, a given source language word can often be translated into different targ...
Scott McDonald
ICTIR
2009
Springer
15 years 4 months ago
Robust Word Similarity Estimation Using Perturbation Kernels
We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
Kevyn Collins-Thompson