19 citations · 97 across the 9 of their papers we have counts for
19 papers
Graph embeddings for Abusive Language Detection
Noé Cecillon, Vincent Labatut, Richard Dufour +1
Abusive behaviors are common on online social networks. The increasing frequency of antisocial behaviors forces the hosts of online platforms to find new solutions to address this…
WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection
Noé Cecillon, Vincent Labatut, Richard Dufour +1
With the spread of online social networks, it is more and more difficult to monitor all the user-generated content. Automating the moderation process of the inappropriate exchange…
Serial Speakers: a Dataset of TV Series
Xavier Bost, Vincent Labatut, Georges Linares
For over a decade, TV series have been drawing increasing interest, both from the audience and from various academic fields. But while most viewers are hooked on the continuous plo…
Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series
Xavier Bost, Serigne Gueye, Vincent Labatut +4
Today's popular TV series tend to develop continuous, complex plots spanning several seasons, but are often viewed in controlled and discontinuous conditions. Consequently, most vi…
Real to H-space Encoder for Speech Recognition
Titouan Parcollet, Mohamed Morchid, Georges Linarès +1
Deep neural networks (DNNs) and more precisely recurrent neural networks (RNNs) are at the core of modern automatic speech recognition systems, due to their efficiency to process i…
Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features
Noé Cecillon, Vincent Labatut, Richard Dufour +1
In recent years, online social networks have allowed worldwide users to meet and discuss. As guarantors of these communities, the administrators of these platforms must prevent use…