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BMCBI
2005
73views more  BMCBI 2005»
13 years 10 months ago
Exploring the boundaries: gene and protein identification in biomedical text
We present a maximum-entropy based system incorporating a diverse set of features for identifying genes and proteins in biomedical s. This system was entered in the BioCreative co...
Jenny Rose Finkel, Shipra Dingare, Christopher D. ...
JUCS
2007
106views more  JUCS 2007»
13 years 10 months ago
An Ontology-based Approach to Support Text Mining and Information Retrieval in the Biological Domain
: This paper describes an ontology-based approach aiming at helping biologists to annotate their documents and at facilitating their information retrieval task. Our approach, based...
Khaled Khelif, Rose Dieng-Kuntz, Pascal Barbry
NAR
1998
86views more  NAR 1998»
13 years 10 months ago
Pfam: multiple sequence alignments and HMM-profiles of protein domains
Pfam contains multiple alignments and hidden Markov model based profiles (HMM-profiles) of complete protein domains. The definition of domain boundaries, family members and alignm...
Erik L. L. Sonnhammer, Sean R. Eddy, Ewan Birney, ...
JIDM
2010
90views more  JIDM 2010»
13 years 5 months ago
A Context-Dependent Supervised Learning Approach to Sentiment Detection in Large Textual Databases
Sentiment detection automatically identifies emotions in textual data. The increasing amount of emotive documents available in corporate databases and on the World Wide Web calls f...
Albert Weichselbraun, Stefan Gindl, Arno Scharl
WWW
2005
ACM
14 years 11 months ago
AVATAR: an approach based on semantic reasoning to recommend personalized TV programs
In this paper a TV recommender system called AVATAR (AdVAnce Telematic search of Audiovisual contents by semantic Reasoning) is presented. This tool uses the experience gained in ...
Yolanda Blanco-Fernández, José J. Pa...