Benoît Crabbé
Benoît Crabbé has 2 papers in our library, in 2010–2019, most of them on Dependency parsing, Treebanks, Language models & pretraining; often with Didier Schwab, Laurent Besacier, Marie Candito.
current affiliationCentre National de la Recherche Scientifique, Paris, France; Université Paris Cité, Paris, France; Sorbonne Paris Cité, Paris, France; Laboratoire de Linguistique Formelle, Paris, France
OpenAlex · ORCID · h-index 18 · 138 works · 903 citations OpenAlex, 2026-10-14
2 works in our library · 402 citations in our library · 20 more works in our library · ⭐ Paper Star rank #3076
Affiliations
- Laboratoire de Linguistique Formelle · Paris, France — current · 2015–2026 on 34 papers
- Université Paris Cité · Paris, France — current · 2006–2026 on 26 papers · employment from 2006: Laboratoire de Linguistique Formelle (ORCID)
- Centre National de la Recherche Scientifique · Paris, France — current · 2017–2026 on 15 papers
- Sorbonne Paris Cité · Paris, France — current · 2014–2026 on 7 papers
- Université Paris Diderot · Paris, France — 2010–2020 on 22 papers
- Institut Universitaire de France · Paris, France — 2015–2019 on 7 papers
- University of Edinburgh · Edinburgh, United Kingdom — 2006–2019 on 4 papers
- Analyse Linguistique Profonde à Grande Echelle · Paris, France — 2008–2016 on 32 papers
- Institut national de recherche en sciences et technologies du numérique · Le Chesnay-Rocquencourt, France — 2009–2016 on 20 papers
- Laboratoire Lorrain de Recherche en Informatique et ses Applications · Nancy, France — 2005 on 2 papers
Topics
Works by year
2010s
Papers
- FlauBERT: Unsupervised Language Model Pre-training for French (2019 · 293 citations)
Pre-trained contextual language models such as BERT have reshaped NLP. Most of the gains, however, were shown for English. French relied mainly on multilingual models (mBERT, XLM, XLM-R) and had no shared evaluation benchmark. The authors built FlauBERT, a monolingual French model that uses the BERT architecture and… - Statistical French Dependency Parsing: Treebank Conversion and First Results (2010 · 162 citations)
The paper addresses the lack of training data for statistical dependency parsing of French. The authors automatically converted the French Treebank (FTB), a corpus of constituency trees built from the newspaper Le Monde, into typed projective dependency trees in CoNLL format. First, the corpus was preprocessed: some…
Also in our library
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