Recent computational approaches for combating online hate speech involve...
Fighting misinformation is a challenging, yet crucial, task. Despite the...
Fighting online hate speech is a challenge that is usually addressed usi...
In this work, we present an extensive study on the use of pre-trained
la...
The growing interest in employing counter narratives for hatred interven...
Since state-of-the-art approaches to offensive language detection rely o...
Undermining the impact of hateful content with informed and non-aggressi...
Studies on online hate speech have mostly focused on the automated detec...
Tackling online hatred using informed textual responses - called counter...
In the context of chit-chat dialogues it has been shown that endowing sy...
In the last few years, pre-trained neural architectures have provided
im...
Recently research has started focusing on avoiding undesired effects tha...
End-to-end neural approaches are becoming increasingly common in
convers...
Several lexica for sentiment analysis have been developed and made avail...
In this paper, we describe a methodology to infer Bullish or Bearish
sen...
Urban legends are a genre of modern folklore, consisting of stories abou...
Deriving prior polarity lexica for sentiment analysis - where positive o...
While the effect of various lexical, syntactic, semantic and stylistic
f...
This article provides a comprehensive investigation on the relations bet...