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ALMANACH: Modélisation et analyse linguistique automatique et humanités computationnelles

France

11 papers here1.4k citations across 11
fields
  • cs.CL7
  • cond-mat.supr-con1
  • cs.CV1
  • cs.LG1
  • math.DS1
ROR 05rnwy495OpenAlex

affiliations via OpenAlex

output
20192022
most citedCamemBERT: a Tasty French Language Model

752 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Benoît Sagot5 · h 37
  • Eric Villemonte de la Clergerie3 · h 24
  • Djamé Seddah2 · h 26
  • Emmanuel Dupoux2 profiles2 · h 68
  • Louis Martin2 · h 11
  • Abdel-rahman Mohamed1 · h 48
  • Akira Suzuki1 · h 2
  • Alma Garcia1 · h 1
  • Antoine Bordes1 · h 45
  • Arij Riabi1 · h 6
  • A. Sabogal1 · h 2
  • A. Uzuki1 · h 2
collaborating institutions
  • Sorbonne UniversitéFR4 papers
  • Institut national de recherche en sciences et technologies du numériqueFR2 papers
  • Meta (United States)US2 papers
  • Asus (Taiwan)TW1 paper
  • Birla Institute of Technology and Science, PilaniIN1 paper
  • Booz Allen Hamilton (United States)US1 paper
  • Brown UniversityUS1 paper
  • Center PointUS1 paper
  • Charles River Analytics (United States)US1 paper
  • CyberOptics (United States)US1 paper
  • École des hautes études en sciences socialesFR1 paper
  • École Nationale des ChartesFR1 paper
Showing 2021 · cs.CLShow all

1 paper · 2 filters

cs.CL2021★ 1 cited

Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?

Arij Riabi, Benoît Sagot, Djamé Seddah

Recent impressive improvements in NLP, largely based on the success of contextual neural language models, have been mostly demonstrated on at most a couple dozen high-resource lang…

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