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» Word Importance Discrimination Using Context Information
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GIR
2008
ACM
14 years 11 months ago
Map-based vs. knowledge-based toponym disambiguation
Toponym Disambiguation, i.e. the task of assigning to place name their correct reference in the world, is getting more attention from many researchers. Many methods have been prop...
Davide Buscaldi, Paolo Rosso
NLPRS
2001
Springer
15 years 2 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
IBPRIA
2003
Springer
15 years 3 months ago
Combining Phrase-Based and Template-Based Alignment Models in Statistical Translation
In statistical machine translation, single-word based models have an important deficiency; they do not take contextual information into account for the translation decision. A poss...
Jesús Tomás, Francisco Casacuberta
MMS
2008
14 years 10 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
RAID
2004
Springer
15 years 3 months ago
On the Design and Use of Internet Sinks for Network Abuse Monitoring
Abstract. Monitoring unused or dark IP addresses offers opportunities to significantly improve and expand knowledge of abuse activity without many of the problems associated with ...
Vinod Yegneswaran, Paul Barford, David Plonka