23 citations · 23 across the 3 of their papers we have counts for
3 papers
SciTweets -- A Dataset and Annotation Framework for Detecting Scientific Online Discourse
Salim Hafid, Sebastian Schellhammer, Sandra Bringay +2
Scientific topics, claims and resources are increasingly debated as part of online discourse, where prominent examples include discourse related to COVID-19 or climate change. This…
Controversy Detection: a Text and Graph Neural Network Based Approach
Samy Benslimane, Jérome Azé, Sandra Bringay +2
Controversial content refers to any content that attracts both positive and negative feedback. Its automatic identification, especially on social media, is a challenging task as it…
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations
Waleed Ragheb, Jérôme Azé, Sandra Bringay +1
This paper addresses the problem of modeling textual conversations and detecting emotions. Our proposed model makes use of 1) deep transfer learning rather than the classical shall…