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CamemBERT: a Tasty French Language Model
- Louis Martin, Benjamin Muller, Benoît Sagot
- Computer ScienceACL
- 10 November 2019
TLDR
What Does BERT Learn about the Structure of Language?
- Ganesh Jawahar, Benoît Sagot, Djamé Seddah
- Computer Science, LinguisticsACL
- 28 July 2019
TLDR
Universal Dependencies 2.1
- Joakim Nivre, Zeljko Agic, Hanzhi Zhu
- Linguistics, Computer Science
- 13 March 2017
TLDR
Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages
- Djamé Seddah, Reut Tsarfaty, Eric Villemonte de la Clergerie
- Computer ScienceSPMRL@EMNLP
- 18 October 2013
TLDR
Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither
- Reut Tsarfaty, Djamé Seddah, L. Tounsi
- Computer Science, LinguisticsSPMRL@NAACL-HLT
- 5 June 2010
TLDR
Introducing the SPMRL 2014 Shared Task on Parsing Morphologically-rich Languages
- Djamé Seddah, Sandra Kübler, Reut Tsarfaty
- Computer Science
- 1 August 2014
TLDR
Le corpus Sequoia : annotation syntaxique et exploitation pour l’adaptation d’analyseur par pont lexical (The Sequoia Corpus : Syntactic Annotation and Use for a Parser Lexical Domain Adaptation…
- Marie Candito, Djamé Seddah
- Computer Science, ArtJEP/TALN/RECITAL
- 1 June 2012
Nous presentons dans cet article la methodologie de constitution et les caracteristiques du corpus Sequoia, un corpus en francais, syntaxiquement annote d'apres un schema d'annotation tres proche de…
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora
- Hila Gonen, Ganesh Jawahar, Djamé Seddah, Yoav Goldberg
- Computer ScienceACL
- 1 July 2020
TLDR
Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
- Joakim Nivre, Zeljko Agic, Hanzhi Zhu
- Computer Science
- 18 May 2017
TLDR
Parsing Morphologically Rich Languages: Introduction to the Special Issue
- Reut Tsarfaty, Djamé Seddah, Sandra Kübler, Joakim Nivre
- Computer ScienceCL
- 1 March 2013
TLDR
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