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Found 28 papers, 3 papers with code
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools
Modern Natural Language Processing (NLP) makes intensive use of deep learning methods because of the accuracy they offer for a variety of applications.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions.
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
Progress in machine learning (ML) comes with a cost to the environment, given that training ML models requires significant computational resources, energy and materials.
Unraveling the Hidden Environmental Impacts of AI Solutions for Environment
In the past ten years, artificial intelligence has encountered such dramatic progress that it is now seen as a tool of choice to solve environmental issues and in the first place greenhouse gas emissions (GHG).
Simplification automatique de texte dans un contexte de faibles ressources (Automatic Text Simplification : Approaching the Problem in Low Resource Settings for French)
La simplification de textes a {\'e}merg{\'e} comme un sous-domaine actif du traitement automatique des langues, du fait des probl{\`e}mes pratiques et th{\'e}oriques qu{'}elle permet d{'}aborder, ainsi que de ses nombreuses applications pratiques.
Transformation d'annotations en parties du discours et lemmes vers le format Universal Dependencies : \'etude de cas pour l'alsacien et l'occitan (Converting POS-tag and Lemma Annotations into the Universal Dependencies Format : A Case Study on Alsatian and Occitan )
Cet article pr{\'e}sente un retour d{'}exp{\'e}rience sur la transformation de corpus annot{\'e}s pour l{'}alsacien et l{'}occitan vers le format CONLL-U d{\'e}fini dans le projet Universal Dependencies.
\'Etiquetage en parties du discours de langues peu dot\'ees par sp\'ecialisation des plongements lexicaux (POS tagging for low-resource languages by adapting word embeddings )
Cet article pr{\'e}sente une nouvelle m{\'e}thode d{'}{\'e}tiquetage en parties du discours adapt{\'e}e aux langues peu dot{\'e}es : la d{\'e}finition du contexte utilis{\'e} pour construire les plongements lexicaux est adapt{\'e}e {\`a} la t{\^a}che, et de nouveaux vecteurs sont cr{\'e}{\'e}s pour les mots inconnus.
Apprendre des repr\'esentations jointes de mots et d'entit\'es pour la d\'esambigu\"\isation d'entit\'es (Combining Word and Entity Embeddings for Entity Linking)
La d{\'e}sambigu{\"\i}sation d{'}entit{\'e}s (ou liaison d{'}entit{\'e}s), qui consiste {\`a} relier des mentions d{'}entit{\'e}s d{'}un texte {\`a} des entit{\'e}s d{'}une base de connaissance, est un probl{\`e}me qui se pose, entre autre, pour le peuplement automatique de bases de connaissances {\`a} partir de textes.
Utterance Retrieval Based on Recurrent Surface Text Patterns
This paper investigates the use of recurrent surface text patterns to represent and index open-domain dialogue utterances for a retrieval system that can be embedded in a conversational agent.
Are Cohesive Features Relevant for Text Readability Evaluation?
This paper investigates the effectiveness of 65 cohesion-based variables that are commonly used in the literature as predictive features to assess text readability.
Un syst\`eme automatique de s\'election de r\'eponse en domaine ouvert int\'egrable \`a un syst\`eme de dialogue social (An automatic open-domain response selection system integrable to a social dialogue system)
Cette d{\'e}monstration pr{\'e}sente un syst{\`e}me de dialogue en domaine ouvert qui utilise une base d{'}exemples de dialogue automatiquement constitu{\'e}e depuis un corpus de sous-titres afin de g{\'e}rer un dialogue social de type « chatbot ».
Mod\`eles adaptatifs pour pr\'edire automatiquement la comp\'etence lexicale d'un apprenant de fran\ccais langue \'etrang\`ere (Adaptive models for automatically predicting the lexical competence of French as a foreign language learners)
Cette {\'e}tude examine l{'}utilisation de m{\'e}thodes d{'}apprentissage incr{\'e}mental supervis{\'e} afin de pr{\'e}dire la comp{\'e}tence lexicale d{'}apprenants de fran{\c{c}}ais langue {\'e}trang{\`e}re (FLE).
Purely Corpus-based Automatic Conversation Authoring
This system is used as a chatterbot system to collect a corpus of 41 open-domain textual dialogues with 27 human participants.
Evaluating Lexical Simplification and Vocabulary Knowledge for Learners of French: Possibilities of Using the FLELex Resource
This study examines two possibilities of using the FLELex graded lexicon for the automated assessment of text complexity in French as a foreign language learning.
Transfer-Based Learning-to-Rank Assessment of Medical Term Technicality
While measuring the readability of texts has been a long-standing research topic, assessing the technicality of terms has only been addressed more recently and mostly for the English language.
Estimation de l'homog\'en\'eit\'e s\'emantique pour les Questionnaires \`a Choix Multiples
Cette m{\'e}thode est fond{\'e}e sur une combinaison de plusieurs crit{\`e}res de voisinage et de similarit{\'e} s{\'e}mantique entre termes, par apprentissage automatique.
Un patient virtuel dialogant
Le d{\'e}monstrateur que nous d{\'e}crivons ici est un prototype de syst{\`e}me de dialogue dont l{'}objectif est de simuler un patient.
Multiple Choice Question Corpus Analysis for Distractor Characterization
In this paper, we present a study of MCQ aiming to define criteria in order to automatically select distractors.
Construction and Annotation of a French Folkstale Corpus
In this paper, we present the digitization and annotation of a tales corpus - which is to our knowledge the only French tales corpus available and classified according to the Aarne{\&}Thompson classification - composed of historical texts (with old French parts).
Annotation of specialized corpora using a comprehensive entity and relation scheme
We present the annotation scheme as well as the results of a pilot annotation study covering 35 clinical documents in a variety of subfields and genres.
