Djamé Seddah

Publications
Influence

CamemBERT: a Tasty French Language Model

Louis Martin, Benjamin Muller, +5 authors Benoît Sagot
Computer Science
ACL
10 November 2019

We train a monolingual Transformer-based language model on the French language using recent large-scale corpora. Expand

What Does BERT Learn about the Structure of Language?

Ganesh Jawahar, Benoît Sagot, Djamé Seddah
Computer Science
ACL
28 July 2019

We perform a series of experiments to unpack the elements of English language structure learned by BERT. Expand

Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages

Djamé Seddah, Reut Tsarfaty, +20 authors Éric Villemonte de la Clergerie
Computer Science
SPMRL@EMNLP
18 October 2013

This paper reports on the first shared task on statistical parsing of morphologically rich languages (MRLs). Expand

Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither

Reut Tsarfaty, Djamé Seddah, +6 authors L. Tounsi
Computer Science
SPMRL@NAACL-HLT
5 June 2010

We synthesize the contributions of researchers working on parsing Arabic, Basque, French, German, Hebrew, Hindi and Korean to point out shared solutions across languages. Expand

Introducing the SPMRL 2014 Shared Task on Parsing Morphologically-rich Languages

Djamé Seddah, Sandra Kübler, Reut Tsarfaty
Computer Science
1 August 2014

This first joint meeting on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical English featured a shared task on statistical parsing of morphologically rich languages (SPMRL). Expand

Universal Dependencies 2.1

Joakim Nivre, Mitchell Abrams, +318 authors Hanzhi Zhu
Computer Science, Political Science
13 March 2017

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-language learning, and parsing research from a language typology perspective. Expand

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, Art
JEP-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 celui du French Treebank (Abeille et Barrier, 2004), et librement disponible, en constituants et en dependances. Expand

Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data

Joakim Nivre, Zeljko Agic, +187 authors Hanzhi Zhu
Computer Science
18 May 2017

This release complements the UD 2.0 release (http://hdl.handle.net/11234/1-1983) to a full release of UD treebanks. Expand

Parsing Morphologically Rich Languages: Introduction to the Special Issue

Reut Tsarfaty, Djamé Seddah, Sandra Kübler, Joakim Nivre
Computer Science
CL
1 March 2013

This special issue reports on methods that successfully address the challenges involved in parsing a range of morphologically rich languages (MRLs). Expand

C-Structures and F-Structures for the British National Corpus

Joachim Wagner, Djamé Seddah, Jennifer Foster, J. Genabith
Computer Science
2007

We describe how the British National Corpus (BNC), a one hundred million word balanced corpus of British English, was parsed into Lexical Functional Grammar (LFG) c-structures and f-Structures, using a treebank-based parsing architecture. Expand

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