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Application of Graph Rewriting to Natural Language Processing (Relié)

Edition en anglais

  • Coédition ISTE/Wiley

  • Paru le : 19/06/2018
This book shows how graph rewriting can be used as a computational model adapted to natural language processing. Focus is placed on annotated corpora... > Lire la suite
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This book shows how graph rewriting can be used as a computational model adapted to natural language processing. Focus is placed on annotated corpora that play an increasingly important role within natural language processing and it is therefore interesting to present these annotations and their transformations within a common framework. All computations are carried out by graph rewriting. The framework gives the user the freedom to express rules based on linguistic knowledge, graph rewriting does the rest.
Currently, there is no standard model for graph rewriting and, as such, the authors have conceived one that is specifically adapted to natural language processing, proposing their own implementation : the GREW system. The tool is then used for various large-scale applications (parsing, the passage from syntactic to semantic annotation, etc.).

Fiche technique

  • Date de parution : 19/06/2018
  • Editeur : Coédition ISTE/Wiley
  • Collection : Cognitive Science Series. Logi
  • ISBN : 978-1-78630-096-6
  • EAN : 9781786300966
  • Format : Grand Format
  • Présentation : Relié
  • Nb. de pages : 248 pages
  • Poids : 0.499 Kg
  • Dimensions : 15,7 cm × 23,1 cm × 2,8 cm

À propos des auteurs

Guillaume Bonfante is a senior lecturer at the University of Lorraine, France. Bruno Guillaume is a researcher at Inria Nancy Grand-Est, France. Guy Perrier is Professor Emeritus at the University of Lorraine, France.
Guillaume Bonfante et Bruno Guillaume - Application of Graph Rewriting to Natural Language Processing.
Application of Graph Rewriting to Natural Language Processing
176,50 €
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