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I am a Maître de Conférences (~associate professor) at INSA Rennes. I conduct my research in the Linkmedia team of Irisa.

My research focuses on Natural Language Processing and Machine Learning. My work can be summed up as the development of novel (combinatorial) algorithms and novel learning methods for structured prediction. Lately, I've been increasingly interested in the use of machine learning for research in linguistics (or, in other words, AI for science).

News

• September, 2024: new paper accepted at EMNLP 2024, A fast and sound tagging method for discontinuous named-entity recognition (Caio Corro)

• March, 2024: new paper accepted @ LREC-Coling Sparse logistic regression with high-order features for automatic grammar rule extraction from treebanks (Santiago Herrera, Caio Corro, Sylvain Kahane)

• March, 2024: release of SaulLM-7B, a large language model for law

• January, 2024: release of CroissantLLM, a bilingual French-English language model

• January 24th, 2024: Talk @ Loria (Nancy): “Graph-based semantic parsing and compositional generalization”

• November 6th, 2023: Talk @ ISIR: “Graph-based semantic parsing and compositional generalization”

• October, 2024: Preprint of our EMNLP 2023 paper: Structural generalization in COGS: Supertagging is (almost) all you need (Alban Petit, Caio Corro, François Yvon)

Students and postdocs

Current:

• Ayoub Hammal, PhD student (oct. 2024 - …) co-supervised with Pierre Zweigenbaum

• Benno Uthayasooriyar, PhD student (sept. 2022 - …) co-supervised with Franck Vermet and Antoine Ly

Former:

• Ayoub Hammal, Master intern (2024)

• Alban Petit, PhD student (oct. 2020 - feb. 2024), co-supervised with François Yvon

• Yara Khater, Master intern (2022 & 2023)

• Emile Chapuis, postdoc (jan. 2022 - dec. 2023) co-advised with Nadi Tomeh

• Lili Lu, Master intern (2022)

• Lynda Attouche, Undergrad intern (2021)

• Alban Petit, Master intern (2020), now PhD student

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