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Found 4 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.
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.
Age Recommendation from Texts and Sentences for Children
Our results are also compared with recommendations made by experts.
Hybrid Isolation Forest - Application to Intrusion Detection
From the identification of a drawback in the Isolation Forest (IF) algorithm that limits its use in the scope of anomaly detection, we propose two extensions that allow to firstly overcome the previously mention limitation and secondly to provide it with some supervised learning capability.
