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An ACG Analysis of the G-TAG Generation Process

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 paper presents an encoding of Generation-TAG (G-TAG) within Abstract Categorial Grammars (ACG). We show how the key notions of G-TAG have a natural interpretation in ACG, allowing us to use its reversibility property for text generation. It also offers solutions to several limitations of G-TAG.
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Submitted on : Tuesday, June 3, 2014 - 5:24:12 PM
Last modification on : Wednesday, November 2, 2022 - 11:24:55 AM
Long-term archiving on: : Wednesday, September 3, 2014 - 12:41:47 PM


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  • HAL Id : hal-00999595, version 1


Laurence Danlos, Aleksandre Maskharashvili, Sylvain Pogodalla. An ACG Analysis of the G-TAG Generation Process. Proceedings of the 8th International Natural Language Generation Conference (INLG 2014), Jun 2014, Philadelphia, PA, United States. pp.35-44. ⟨hal-00999595⟩



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