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- Publications
- Influence
CamemBERT: a Tasty French Language Model
- Louis Martin, B. Muller, +5 authors Benoît Sagot
- Computer Science
- ACL
- 10 November 2019
TLDR
Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures
- Pedro Javier Ortiz Suárez, Benoît Sagot, L. Romary
- Computer Science
- 22 July 2019
TLDR
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell
- Djamé Seddah, Farah Essaidi, +5 authors Abhishek Srivastava
- Computer Science
- ACL
- 5 July 2020
TLDR
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages
- Pedro Javier Ortiz Suárez, L. Romary, Benoît Sagot
- Computer Science
- ACL
- 11 June 2020
TLDR
Establishing a New State-of-the-Art for French Named Entity Recognition
- Pedro Javier Ortiz Suárez, Y. Dupont, B. Muller, L. Romary, Benoît Sagot
- Computer Science
- LREC
- 11 May 2020
TLDR
How OCR Performance can Impact on the Automatic Extraction of Dictionary Content Structures
- Mohamed Khemakhem, Ioana Galleron, Geoffrey G. Williams, Laurent Romary, Pedro Javier Ortiz Suárez
- Computer Science
- 18 September 2019
TLDR
Les modèles de langue contextuels Camembert pour le français : impact de la taille et de l'hétérogénéité des données d'entrainement (C AMEM BERT Contextual Language Models for French: Impact of…
- Louis Martin, Benjamin Müller, +5 authors Djamé Seddah
- Political Science, Computer Science
- JEP-TALN-RECITAL
- 2020
TLDR
Les modèles de langue contextuels Camembert pour le français : impact de la taille et de l'hétérogénéité des données d'entrainement
- Louis Martin, B. Muller, +5 authors Djamé Seddah
- Philosophy
- 8 June 2020
Les modeles de langue neuronaux contextuels sont desormais omnipresents en traitement automatique des langues. Jusqu’a recemment, la plupart des modeles disponibles ont ete entraines soit sur des… Expand
Sinful Adaptation of SotA models for Named Entity Recognition in Historical French and German Newspapers
In this article we present the approaches developed by the Sorbonne-INRIA for NER (SinNer) team for the CLEF-HIPE 2020 challenge on Named Entity Processing on old newspapers. The challenge proposed… Expand
SinNer@Clef-Hipe2020 : Sinful adaptation of SotA models for Named Entity Recognition in French and German
- Pedro Javier Ortiz Suárez, Y. Dupont, G. Lejeune, Tian Tian
- Computer Science
- CLEF
- 23 September 2020
TLDR