1 citations · 1 across the 5 of their papers we have counts for
4 papers · 1 filter
A Multi-Label Dataset of French Fake News: Human and Machine Insights
Benjamin Icard, François Maine, Morgane Casanova +6
We present a corpus of 100 documents, OBSINFOX, selected from 17 sources of French press considered unreliable by expert agencies, annotated using 11 labels by 8 annotators. By col…
Measuring vagueness and subjectivity in texts: from symbolic to neural VAGO
Benjamin Icard, Vincent Claveau, Ghislain Atemezing +1
We present a hybrid approach to the automated measurement of vagueness and subjectivity in texts. We first introduce the expert system VAGO, we illustrate it on a small benchmark o…
Semantic of Cloud Computing services for Time Series workflows
Manuel Parra-Royón, Francisco Baldan, Ghislain Atemezing +1
Time series (TS) are present in many fields of knowledge, research, and engineering. The processing and analysis of TS are essential in order to extract knowledge from the data and…
Combining Vagueness Detection with Deep Learning to Identify Fake News
Paul Guélorget, Benjamin Icard, Guillaume Gadek +4
In this paper, we combine two independent detection methods for identifying fake news: the algorithm VAGO uses semantic rules combined with NLP techniques to measure vagueness and…