no code implementations • LREC 2022 • Amalia Todirascu, Rodrigo Wilkens, Eva Rolin, Thomas François, Delphine Bernhard, Núria Gala
Reducing the complexity of texts by applying an Automatic Text Simplification (ATS) system has been sparking interest inthe area of Natural Language Processing (NLP) for several years and a number of methods and evaluation campaigns haveemerged targeting lexical and syntactic transformations.
no code implementations • JEPTALNRECITAL 2020 • Rodrigo Wilkens, Amalia Todirascu
Nous pr{\'e}sentons un nouveau corpus simplifi{\'e}, disponible en fran{\c{c}}ais pour l{'}{\'e}valuation d{'}un syst{\`e}me de simplification discursive.
no code implementations • LREC 2020 • Rodrigo Wilkens, Bruno Oberle, Amalia Todirascu
In this paper, we move forward in this direction and present a rule-based system for automatic text simplification, aiming at adapting French texts for dyslexic children.
no code implementations • LREC 2020 • Rodrigo Wilkens, Amalia Todirascu
This information is coded together with a coreference resolution system and a text rewritten tool in the proposed system, which comprise a coreference module specialised in written text and seven text transformation operations.
no code implementations • LREC 2020 • Rodrigo Wilkens, Bruno Oberle, L, Fr{\'e}d{\'e}ric ragin, Amalia Todirascu
In this paper, we present an extensive comparison of several coreference resolution systems for French.
no code implementations • JEPTALNRECITAL 2019 • Amalia Todirascu, Marion Cargill, Thomas Francois
L{'}article se concentre sur la proc{\'e}dure automatique qui identifie, dans un premier temps, les expressions de la base PolylexFLE dans un corpus {\`a} l{'}aide d{'}un syst{\`e}me {\`a} base d{'}expressions r{\'e}guli{\`e}res.
no code implementations • CL 2017 • Mathieu Constant, G{\"u}l{\c{s}}en Eryi{\v{g}}it, Johanna Monti, Lonneke van der Plas, Carlos Ramisch, Michael Rosner, Amalia Todirascu
The structure of linguistic processing that depends on the clear distinction between words and phrases has to be re-thought to accommodate MWEs.
no code implementations • COLING 2016 • Amalia Todirascu, Thomas Fran{\c{c}}ois, Delphine Bernhard, N{\'u}ria Gala, Anne-Laure Ligozat
This paper investigates the effectiveness of 65 cohesion-based variables that are commonly used in the literature as predictive features to assess text readability.
no code implementations • JEPTALNRECITAL 2015 • Amalia Todirascu, Beatriz Sanchez Cardenas
L{'}article pr{\'e}sente une {\'e}tude des propri{\'e}t{\'e}s linguistiques (lexicales, morpho-syntaxiques, syntaxiques) permettant la classification automatique de documents selon leur genre (articles scientifiques et articles de vulgarisation), dans deux domaines diff{\'e}rentes (m{\'e}decine et informatique).
no code implementations • LREC 2012 • Amalia Todirascu, Sebastian Pad{\'o}, Jennifer Krisch, Max Kisselew, Ulrich Heid
This paper presents some of the results of the CLASSYN project which investigated the classification of text according to audience-related text types.