Graph Mining under Linguistic Constraints to Explore Large Texts

Solen Quiniou; Peggy Cellier; Thierry Charnois; Dominique Legallois

Graph Mining under Linguistic Constraints to Explore Large Texts

Solen Quiniou ¹ Peggy Cellier ² Thierry Charnois ^{3, 4} Dominique Legallois ⁵

1 LINA - Laboratoire d'Informatique de Nantes Atlantique

2 LIS - Logical Information Systems

IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE

3 MoDyCo - Modèles, Dynamiques, Corpus

4 Equipe CODAG - Laboratoire GREYC - UMR6072

GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen

5 CRISCO - Centre de recherche inter-langues sur la signification en contexte

Abstract : In this paper, we propose an approach to explore large texts by highlighting coherent sub-parts. The exploration method relies on a graph representation of the text according to Hoey's linguistic model which allows the selection and the binding of adjacent and non-adjacent sentences. The main contribution of our work consists in proposing a method based on both Hoey's linguistic model and a special graph mining technique, called CoHoP mining, to extract coherent sub-parts of the graph representation of the text. We have conducted some experiments on several English texts showing the interest of the proposed approach.

Keywords : Hoey's linguistic model sentence networks graph minig text exploration

Document type :

Conference papers

Domain :

Computer Science [cs] / Document and Text Processing

Computer Science [cs] / Machine Learning [cs.LG]

Computer Science [cs] / Artificial Intelligence [cs.AI]

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https://hal.archives-ouvertes.fr/hal-00817068
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