18 citations · 40 across the 5 of their papers we have counts for
5 papers
Conversation-Based Multimodal Abuse Detection Through Text and Graph Embeddings
Noé Cecillon, Vincent Labatut, Richard Dufour
Abusive behavior is common on online social networks, and forces the hosts of such platforms to find new solutions to address this problem. Various methods have been proposed to au…
Whole-Graph Representation Learning For the Classification of Signed Networks
Noé Cecillon, Vincent Labatut, Richard Dufour +1
Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-d…
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…
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…