Skip to Main content Skip to Navigation
Conference papers

Reusability of Mental Representation Theory in Automatic Generation: Generating Expressions Referring to Objects with G-TAG and RMs

Hélène Manuélian 1
1 LANGUE ET DIALOGUE - Human-machine dialogue with a significant language component
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper deals with the way to automatically generate referring expressions by integrating the model of Mental Representation (RMs) in the lexicalized formalism of generation G-TAG. To achieve this purpose, the lexical part of RMs is extended by a history of the forms used in the text. Algorithms have been added in order to decide on how to lexicalize a concept.
Mots-clés : mental representations expressions référentielles referring expressions automatic generation of texts tag génération automatique de textes représentations mentales
Document type :
Conference papers
Complete list of metadata
https://hal.inria.fr/inria-00099373
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 8:53:21 AM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM

Identifiers

  • HAL Id : inria-00099373, version 1

Collections

INRIA | CNRS | LORIA | UNIV-LORRAINE

Citation

Hélène Manuélian. Reusability of Mental Representation Theory in Automatic Generation: Generating Expressions Referring to Objects with G-TAG and RMs. Workshop on Analysis for Generation - International Natural Language Generation Conference 2000, 2000, Mitzpe Ramon, Israel. ⟨inria-00099373⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

51

 

Contact                    Legal Notice                    Personal Data