Search Results for author: Jean-Yves Antoine

Found 25 papers, 0 papers with code

Annotation d'expressions polylexicales verbales en fran\ccais (Annotation of verbal multiword expressions in French)

no code implementations JEPTALNRECITAL 2017 C, Marie ito, Mathieu Constant, Carlos Ramisch, Agata Savary, Yannick Parmentier, Caroline Pasquer, Jean-Yves Antoine

Nous d{\'e}crivons la partie fran{\c{c}}aise des donn{\'e}es produites dans le cadre de la campagne multilingue PARSEME sur l{'}identification d{'}expressions polylexicales verbales (Savary et al., 2017).

Towards a Variability Measure for Multiword Expressions

no code implementations NAACL 2018 Caroline Pasquer, Agata Savary, Jean-Yves Antoine, Carlos Ramisch

One of the most outstanding properties of multiword expressions (MWEs), especially verbal ones (VMWEs), important both in theoretical models and applications, is their idiosyncratic variability.

If you've seen some, you've seen them all: Identifying variants of multiword expressions

no code implementations COLING 2018 Caroline Pasquer, Agata Savary, Carlos Ramisch, Jean-Yves Antoine

Multiword expressions, especially verbal ones (VMWEs), show idiosyncratic variability, which is challenging for NLP applications, hence the need for VMWE identification.

General Classification

VarIDE at PARSEME Shared Task 2018: Are Variants Really as Alike as Two Peas in a Pod?

no code implementations COLING 2018 Caroline Pasquer, Carlos Ramisch, Agata Savary, Jean-Yves Antoine

We describe the VarIDE system (standing for Variant IDEntification) which participated in the edition 1. 1 of the PARSEME shared task on automatic identification of verbal multiword expressions (VMWEs).

Ma copie adore le v\'elo : analyse des besoins r\'eels en correction orthographique sur un corpus de dict\'ees d'enfants (A corpus analysis to define the needs of dyslexic children in terms of spelling correction)

no code implementations JEPTALNRECITAL 2019 Jean-Yves Antoine, Marion Crochetet, Celine Arbizu, Emmanuelle Lopez, Samuel Pouplin

Cet article pr{\'e}sente la constitution d{'}un corpus de textes produits, sur des donn{\'e}es lors de dict{\'e}es, par des enfants paralys{\'e}s c{\'e}r{\'e}braux (PC) ou dysorthographiques, son annotation en termes d{'}erreurs orthographiques, et enfin son analyse quantitative.

Spelling Correction

Contemplata, a Free Platform for Constituency Treebank Annotation

no code implementations LREC 2020 Jakub Waszczuk, Ilaine Wang, Jean-Yves Antoine, Ana{\"\i}s Halftermeyer

This paper describes Contemplata, an annotation platform that offers a generic solution for treebank building as well as treebank enrichment with relations between syntactic nodes.

To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features

no code implementations22 Jul 2020 Caroline Pasquer, Agata Savary, Jean-Yves Antoine, Carlos Ramisch, Nicolas Labroche, Arnaud Giacometti

We use this fact to determine the optimal set of features which could be used in a supervised classification setting to solve a subproblem of VMWE identification: the identification of occurrences of previously seen VMWEs.

feature selection

Verbal Multiword Expression Identification: Do We Need a Sledgehammer to Crack a Nut?

no code implementations COLING 2020 Caroline Pasquer, Agata Savary, Carlos Ramisch, Jean-Yves Antoine

Automatic identification of multiword expressions (MWEs), like {`}to cut corners{'} (to do an incomplete job), is a pre-requisite for semantically-oriented downstream applications.

Evaluating Diversity of Multiword Expressions in Annotated Text

no code implementations COLING 2022 Adam Lion-Bouton, Yagmur Ozturk, Agata Savary, Jean-Yves Antoine

We apply the validated measures to annotations in 14 languages produced by systems during the PARSEME shared task on automatic identification of multiword expressions and on the gold versions of the corpora.

Lemmatization

Seen2Unseen at PARSEME Shared Task 2020: All Roads do not Lead to Unseen Verb-Noun VMWEs

no code implementations COLING (MWE) 2020 Caroline Pasquer, Agata Savary, Carlos Ramisch, Jean-Yves Antoine

We describe the Seen2Unseen system that participated in edition 1. 2 of the PARSEME shared task on automatic identification of verbal multiword expressions (VMWEs).

Translation

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