I am a Maître de Conférences (~associate professor) at Université Paris-Saclay. I conduct my research in the Spoken Language Processing / Traitement du Langage Parlé group at LISN (ex LIMSI).

My research focus on Natural Language Processing and Machine Learning. I am especially interested in structured prediction and introducing linguistic knowledge in neural networks.

I also give training in deep learning for Natural Language Processing for the private sector via CNRS formation entreprise: [Link]

Students

Current:

• Alban Petit, PhD student (oct. 2020 - ...)

Former:

• Alban Petit, Master intern (2020), now PhD student
• Nicolas Devatine, Master intern (2020), now Phd student @ IRIT

Program Committee

Area Chair:

• TALN 2021, Conférence sur le Traitement Automatique des Langues Naturelles
• NAACL 2021, Annual Conference of the North American Chapter of the Association for Computational Linguistics
  Track: Machine Learning for NLP - Classification and Structured Prediction Models
• ACL 2020, Annual Meeting of the Association for Computational Linguistics
  Track: Machine Learning

Reviewer:

• 2021: ACL
• 2020: COLING
• 2019: CoNLL, EMNLP, ACL, NAACL, JMLR
• 2018: EMNLP, CoNLL, RJC
• 2017: ECML PKDD (sub-reviewer)

Quick Presentation

I obtained a Ph.D. in 2018 from Université Paris 13 under the supervision of Joseph Le Roux and Adeline Nazarenko. We worked with Mathieu Lacroix on using combinatorial optimization techniques (Lagrangian relaxation) to solve efficiently problems related to syntactic parsing with mildly context-sensitive grammars (e.g. Lexicalized Tree Adjoining Grammars).

My Ph.D. was supported by the Labex EFL, a public grant overseen by the French National Research Agency (ANR) as part of the Investissements d’Avenir program (ANR-10-LABX-0083).

From November 2017 to August 2018, I was postdoctoral researcher working with Ivan Titov. I was formally employed by the University of Amsterdam but I spent my time there as a visitor at the University of Edinburgh (EdinburghNLP group).