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» Thematic Annotation: extracting concepts out of documents
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CORR
2004
Springer
79views Education» more  CORR 2004»
13 years 4 months ago
Thematic Annotation: extracting concepts out of documents
Pierre Andrews, Martin Rajman
NLDB
2010
Springer
13 years 6 months ago
Semantic Enriching of Natural Language Texts with Automatic Thematic Role Annotation
Abstract. This paper proposes an approach which utilizes natural language processing (NLP) and ontology knowledge to automatically denote the implicit semantics of textual requirem...
Sven J. Körner, Mathias Landhäußer
RIAO
2004
13 years 6 months ago
Learning "Generalization/Specialization" Relations between Concepts - Application for Automatically Building Thematic Document H
We introduce a new method for automatically constructing concept hierarchies where the concept nodes follow a generalization / specialization relation. Starting from a set of conc...
Hermine Njike Fotzo, Patrick Gallinari
SEMCO
2007
IEEE
13 years 11 months ago
Thematic Role Based Generation of UML Models from Real World Requirements
Model-driven development depends on good initial models. Creating these models by hand is a challenging task, because of complex specification documents and change requests. We p...
Tom Gelhausen, Walter F. Tichy
CLEF
2006
Springer
13 years 8 months ago
GIR Experimentation
Geographic Information Retrieval (GIR) community has generally accepted the thesis that both thematic and geographic aspect of documents may be useful for GIR. This paper describe...
Geoffrey Andogah