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Found 6 papers, 1 papers with code
TREMoLo : un corpus multi-étiquettes de tweets en français pour la caractérisation des registres de langue (TREMoLo : a Multi-Label Corpus of French Tweets for Language Register Characterization)
À partir d’une graine annotée manuellement en proportion d’appartenance aux registres, un classifieur de type CamemBERT est appris et appliqué sur un large ensemble de tweets.
A (Psycho-)Linguistically Motivated Scheme for Annotating and Exploring Emotions in a Genre-Diverse Corpus
This paper presents a scheme for emotion annotation and its manual application on a genre-diverse corpus of texts written in French.
TREMoLo-Tweets: A Multi-Label Corpus of French Tweets for Language Register Characterization
The casual, neutral, and formal language registers are highly perceptible in discourse productions.
Une chaîne de traitement pour prédire et appréhender la complexité des textes pour enfants d’un point de vue linguistique (A Processing Chain to Explain the Complexity of Texts for Children From a Linguistic and Psycho-linguistic Point of View)
Cette chaîne vise à extraire des descripteurs linguistiques, principalement issus de travaux en psycholinguistique et de travaux sur la lisibilité, mobilisables pour appréhender la complexité d’un texte.
WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models
To study this task, we present WikiFactDiff, a dataset that describes the evolution of factual knowledge between two dates as a collection of simple facts divided into three categories: new, obsolete, and static.
Age Recommendation from Texts and Sentences for Children
Our results are also compared with recommendations made by experts.
