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...
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...
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 ...
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...
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...