Grammaires phrastiques et discursives fondées sur les TAG : une approche de D-STAG avec les ACG

Laurence Danlos 1 Aleksandre Maskharashvili 2 Sylvain Pogodalla 2
1 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
Inria Paris-Rocquencourt, UPD7 - Université Paris Diderot - Paris 7
2 SEMAGRAMME - Semantic Analysis of Natural Language
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : This article presents a method to interface a sentential grammar and a discourse grammar without resorting to an intermediate processing step. The method is general enough to build discourse structures that are direct acyclic graphs (DAG) and not only trees. Our analysis is based on Discourse Synchronous TAG (D-STAG), a Tree-Adjoining Grammar (TAG)-based approach to discourse. We also use an encoding of TAG into Abstract Categorial Grammar (ACG). This encoding allows us to express a higher-order semantic interpretation that enables building DAG discourse structures on the one hand, and to smoothly integrate the sentential and the discourse grammar thanks to the modular capability of ACG. All the examples of the article have been implemented and may be run and tested with the appropriate software.
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Laurence Danlos, Aleksandre Maskharashvili, Sylvain Pogodalla. Grammaires phrastiques et discursives fondées sur les TAG : une approche de D-STAG avec les ACG. Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015), Jun 2015, Caen, France. pp.158-169. ⟨hal-01145994v3⟩

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