Lydia-Mai Ho-Dac

Also published as: Mai Ho-dac


2020

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E:Calm Resource: a Resource for Studying Texts Produced by French Pupils and Students
Lydia-Mai Ho-Dac | Serge Fleury | Claude Ponton
Proceedings of the 12th Language Resources and Evaluation Conference

The E:Calm resource is constructed from French student texts produced in a variety of usual contexts of teaching. The distinction of the E:Calm resource is to provide an ecological data set that gives a broad overview of texts written at elementary school, high school and university. This paper describes the whole data processing: encoding of the main graphical aspects of the handwritten primary sources according to the TEI-P5 norm; spelling standardizing; POS tagging and syntactic parsing evaluation.

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LITL at SMM4H: An Old-school Feature-based Classifier for Identifying Adverse Effects in Tweets
Ludovic Tanguy | Lydia-Mai Ho-Dac | Cécile Fabre | Roxane Bois | Touati Mohamed Yacine Haddad | Claire Ibarboure | Marie Joyau | François Le moal | Jade Moiilic | Laura Roudaut | Mathilde Simounet | Irena Stankovic | Mickaela Vandewaetere
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task

This paper describes our participation to the SMM4H shared task 2. We designed a rule-based classifier that estimates whether a tweet mentions an adverse effect associated to a medication. Our system addresses English and French, and is based on a number of specific word lists and features. These cues were mostly obtained through an extensive corpus analysis of the provided training data. Different weighting schemes were tested (manually tuned or based on a logistic regression), the best one achieving a F1 score of 0.31 for English and 0.15 for French.

2016

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L’anti-correcteur : outil d’évaluation positive de l’orthographe et de la grammaire (The ”anticorrecteur”: a positive evaluation module for spell and grammar checking)
Lydia-Mai Ho-Dac | Sophie Muller | Valentine Delbar
Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Posters)

L’objectif de cette étude est d’expérimenter l’intégration d’une nouvelle forme d’évaluation dans un correcteur orthographique et grammatical. L’« anticorrecteur » a pour objet de mesurer le taux de réussites orthographiques et grammaticales d’un texte sur certains points jugés difficiles selon la littérature et une observation d’erreurs en corpus. L’évaluation du niveau d’écriture ne se base plus uniquement sur les erreurs commises, mais également sur les réussites réalisées. Une version bêta de ce nouveau mode d’évaluation positive a été intégré dans le correcteur Cordial. Cet article a pour but de discuter de l’intérêt de ce nouveau rapport à l’orthographe et de présenter quelques premiers éléments d’analyse résultant de l’application de l’anticorrecteur sur un corpus de productions variées en matière de niveau d’écriture et genre discursif. Ici, un résumé en français (max. 150 mots). Times, 10pt.

2014

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TALN-RECITAL 2014 Workshop SemDis 2014 : Enjeux actuels de la sémantique distributionnelle (SemDis 2014: Current Challenges in Distributional Semantics)
Cécile Fabre | Nabil Hathout | Lydia-Mai Ho-Dac | François Morlane-Hondère | Philippe Muller | Franck Sajous | Ludovic Tanguy | Tim Van de Cruys
TALN-RECITAL 2014 Workshop SemDis 2014 : Enjeux actuels de la sémantique distributionnelle (SemDis 2014: Current Challenges in Distributional Semantics)

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Presentation of the SemDis 2014 workshop: distributional semantics for two tasks - lexical substitution and exploration of specialized corpora (Présentation de l’atelier SemDis 2014 : sémantique distributionnelle pour la substitution lexicale et l’exploration de corpus spécialisés) [in French]
Cécile Fabre | Nabil Hathout | Lydia-Mai Ho-Dac | François Morlane-Hondère | Philippe Muller | Franck Sajous | Ludovic Tanguy | Tim Van de Cruys
TALN-RECITAL 2014 Workshop SemDis 2014 : Enjeux actuels de la sémantique distributionnelle (SemDis 2014: Current Challenges in Distributional Semantics)

2012

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An empirical resource for discovering cognitive principles of discourse organisation: the ANNODIS corpus
Stergos Afantenos | Nicholas Asher | Farah Benamara | Myriam Bras | Cécile Fabre | Mai Ho-dac | Anne Le Draoulec | Philippe Muller | Marie-Paule Péry-Woodley | Laurent Prévot | Josette Rebeyrolles | Ludovic Tanguy | Marianne Vergez-Couret | Laure Vieu
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper describes the ANNODIS resource, a discourse-level annotated corpus for French. The corpus combines two perspectives on discourse: a bottom-up approach and a top-down approach. The bottom-up view incrementally builds a structure from elementary discourse units, while the top-down view focuses on the selective annotation of multi-level discourse structures. The corpus is composed of texts that are diversified with respect to genre, length and type of discursive organisation. The methodology followed here involves an iterative design of annotation guidelines in order to reach satisfactory inter-annotator agreement levels. This allows us to raise a few issues relevant for the comparison of such complex objects as discourse structures. The corpus also serves as a source of empirical evidence for discourse theories. We present here two first analyses taking advantage of this new annotated corpus --one that tested hypotheses on constraints governing discourse structure, and another that studied the variations in composition and signalling of multi-level discourse structures.