Contextual language understanding Thoughts on Machine Learning in Natural Language Processing

Benoit Favre (1, 2)

1 TALEP - Traitement Automatique du Langage Ecrit et Parlé
2 LIS - Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon)

This document is a habilitation à diriger des recherches (HDR) thesis. It is organized in two parts: The first part presents a reflection on my work and the state of the Natural Language Processingcommunity ; The second part is an overview of my activity, including a detailed CV, a summary of the work of the PhD students I contributed to advising, and a list of my personal publications.Self-citations are postfixed with and listed in Chapter 9, while external references are listed in the bibliography at the end of the document. Each contribution chapter ends with a section listing PhDstudent work related to that chapter.

Mots clés: multimodal systems; natural language processing; machine learning

Mots clés: apprentissage automatique; traitement du langage naturel; systèmes multimodaux

Domaines: Informatique et langage [cs.CL]; Apprentissage [cs.LG]; Traitement du texte et du document; Traitement du signal et de l'image [eess.SP]

Benoit Favre. Contextual language understanding Thoughts on Machine Learning in Natural Language Processing. Computation and Language [cs.CL]. Aix-Marseille Universite, 2019. ⟨tel-02470185⟩