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). I am a board member of the ATALA, a French association that promotes and animates research in natural language processing.

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]

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Open internship positions: I will hire two master interns in summer 2022 (6 months) to work on neural network architectures for natural language processing. Depending on the students' interests, the internships can focus on one of the following subjects (among others):

• proposing new neural architectures that are guaranteed to be robust to (limited) word reordering;
• proposing training methods to improve the robustness of known architectures to (limited) word reordering;
• testing the expressivity and generalization capabilities of known architectures on artificially generated languages.

If you are interested, please contact me ASAP by email so we can discuss.

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Students

Current:

• Alban Petit, PhD student (oct. 2020 - ...) co-supervised with François Yvon

Former:

• Lynda Attouche, Undergrad intern (2021)
• Alban Petit, Master intern (2020), now PhD student
• Nicolas Devatine, Master intern (2020), now Phd student @ IRIT

Funded projects

• Linguistically motivated neural architectures for natural language processing: with Nadi Tomeh, funded by Réseau Francilien en Sciences Informatiques (RFSI)

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, EMNLP
• 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).