Raphaël Salmon

Ancien doctorant

Status : Former PhD Student

Address :

LLF, CNRS – UMR 7110
Université Paris Diderot-Paris 7
Case 7031 – 5, rue Thomas Mann,
75205 Paris cedex 13

E-mail : efnyzba@lfrbc.pbz


Title : Natural language generation using abstract categorial grammars

Supervision :
  Laurence Danlos (LLF)

PhD Defense : 2017-07-10

Inscription : à Paris 7

Abstract :

This thesis explores the usage of Abstract Categorial Grammars (ACG) for Natural Language Generation (NLG) in an industrial context. While NLG system based on linguistic theories have a long history, they are not prominent in industry, which, for the sake of simplicity and efficiency, usually prefer more ``pragmatic" methods. This study shows that recent advances in computational linguistics allow to conciliate the requirements of soundness and efficiency, by using ACG to build the main elements of a production grade NLG framework (document planner and microplanner), with performance comparable to existing, less advanced methods used in industry.