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» Using Information Extraction to Improve Document Retrieval
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ISVC
2009
Springer
16 years 25 days ago
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
Mustafa Berkay Yilmaz, Hakan Erdogan, Mustafa Unel
BMCBI
2010
162views more  BMCBI 2010»
15 years 6 months ago
Moara: a Java library for extracting and normalizing gene and protein mentions
Background: Gene/protein recognition and normalization are important preliminary steps for many biological text mining tasks, such as information retrieval, protein-protein intera...
Mariana L. Neves, José María Carazo,...
ICDAR
2003
IEEE
15 years 11 months ago
Information Retrieval Based Writer Identification
This communication deals with the Writer Identification task. Our previous work has shown the interest of using the graphemes as features for describing the individual properties ...
Ameur Bensefia, Thierry Paquet, Laurent Heutte
DEXA
2009
Springer
173views Database» more  DEXA 2009»
16 years 26 days ago
Incremental Ontology-Based Extraction and Alignment in Semi-structured Documents
SHIRI 1 is an ontology-based system for integration of semistructured documents related to a specific domain. The system’s purpose is to allow users to access to relevant parts ...
Mouhamadou Thiam, Nacéra Bennacer, Nathalie...
ECIR
2008
Springer
15 years 7 months ago
A Wikipedia-Based Multilingual Retrieval Model
This paper introduces CL-ESA, a new multilingual retrieval model for the analysis of cross-language similarity. The retrieval model exploits the multilingual alignment of Wikipedia...
Martin Potthast, Benno Stein, Maik Anderka