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» Word Importance Discrimination Using Context Information
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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
BC
2006
62views more  BC 2006»
14 years 9 months ago
Population approach to a neural discrimination task
Abstract This article gives insights into the possible neuronal processes involved in visual discrimination. We study the performance of a spiking network of Integrate-and-Fire (IF...
Benoit Gaillard, Hilary Buxton, Jianfeng Feng
ECAI
2004
Springer
15 years 3 months ago
An Intrinsic Information Content Metric for Semantic Similarity in WordNet
Information Content (IC) is an important dimension of word knowledge when assessing the similarity of two terms or word senses. The conventional way of measuring the IC of word sen...
Nuno Seco, Tony Veale, Jer Hayes
DKE
2010
134views more  DKE 2010»
14 years 9 months ago
Combining ontological profiles with context in information retrieval
An ontology is a formal conceptualization of a domain, specifying the concepts of the domain and the relations between them. It is however not a straight forward task to use this ...
Geir Solskinnsbakk, Jon Atle Gulla
CLEF
2005
Springer
15 years 3 months ago
Dictionary-Based Amharic-French Information Retrieval
We present four approaches to the Amharic - French bilingual track at CLEF 2005. All experiments use a dictionary based approach to translate the Amharic queries into French Bags-...
Atelach Alemu Argaw, Lars Asker, Rickard Cöst...