M
Marie Candito
Researcher at Paris Diderot University
Publications - 61
Citations - 1819
Marie Candito is an academic researcher from Paris Diderot University. The author has contributed to research in topics: Parsing & Treebank. The author has an hindex of 21, co-authored 61 publications receiving 1605 citations. Previous affiliations of Marie Candito include University of Paris & French Institute for Research in Computer Science and Automation.
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Proceedings Article
Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages
Djamé Seddah,Reut Tsarfaty,Sandra Kübler,Marie Candito,Jinho D. Choi,Richárd Farkas,Jennifer Foster,Iakes Goenaga,Koldo Gojenola Galletebeitia,Yoav Goldberg,Spence Green,Nizar Habash,Marco Kuhlmann,Wolfgang Maier,Joakim Nivre,Adam Przepiórkowski,Ryan M. Roth,Wolfgang Seeker,Yannick Versley,Veronika Vincze,Marcin Woliński,Alina Wróblewska,Éric Villemonte de la Clergerie +22 more
TL;DR: This paper presents and analyzes parsing results obtained by the task participants, and provides an analysis and comparison of the parsers across languages and frameworks, reported for gold input as well as more realistic parsing scenarios.
Proceedings Article
Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither
Reut Tsarfaty,Djamé Seddah,Yoav Goldberg,Sandra Kuebler,Yannick Versley,Marie Candito,Jennifer Foster,Ines Rehbein,Lamia Tounsi +8 more
TL;DR: This paper synthesizes the contributions of researchers working on parsing Arabic, Basque, French, German, Hebrew, Hindi and Korean to point out shared solutions across languages and suggests itself as a source of directions for future investigations.
Proceedings Article
Statistical French dependency parsing: treebank conversion and first results
TL;DR: The automatic conversion of the French Treebank is described, a constituency treebank, into typed projective dependency trees, and the performance of two treebank-trained parsers that output typed dependency parses is compared.
Proceedings ArticleDOI
The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions
Agata Savary,Carlos Ramisch,Silvio Ricardo Cordeiro,Federico Sangati,Veronika Vincze,Behrang QasemiZadeh,Marie Candito,Fabienne Cap,Voula Giouli,Ivelina Stoyanova,Antoine Doucet +10 more
TL;DR: An initiative meant to bring about substantial progress in understanding, modelling and processing VMWEs is described, to elaborate universal terminologies and annotation guidelines for 18 languages and its main outcome is a multilingual 5-million-word annotated corpus which underlies a shared task on automatic identification of VMwes.
Le corpus Sequoia : annotation syntaxique et exploitation pour l'adaptation d'analyseur par pont lexical
Marie Candito,Djamé Seddah +1 more
TL;DR: In this paper, a 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), and librement disponible, en constituants et en dependances.