Search Results for author: Amalia Todirascu

Found 10 papers, 0 papers with code

HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French

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.

Lexical Simplification Text Simplification +1

Un corpus d'\'evaluation pour un syst\`eme de simplification discursive (An Evaluation Corpus for Automatic Discourse Simplification)

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.

Coreference-Based Text Simplification

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.

coreference-resolution Sentence +1

Simplifying Coreference Chains 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.

coreference-resolution

PolylexFLE : une base de donn\'ees d'expressions polylexicales pour le FLE (PolylexFLE : a database of multiword expressions for French L2 language learning)

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.

Survey: Multiword Expression Processing: A Survey

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.

Machine Translation

Are Cohesive Features Relevant for Text Readability Evaluation?

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.

Caract\'eriser les discours acad\'emiques et de vulgarisation : quelles propri\'et\'es ?

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).

General Classification

French and German Corpora for Audience-based Text Type Classification

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.

Dependency Parsing General Classification +3

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