Background Discharge medical notes written by physicians contain important information
about the health condition of patients. Many deep learning algorithms have been …

Language can be used as a means of reproducing and enforcing harmful stereotypes and
biases and has been analysed as such in numerous research. In this paper, we present a …

With the enormous increase in accessibility of high-speed internet, the number of social
media users is increasing rapidly. Due to a lack of proper regulations and ethics, social …

Fake news, hostility, defamation are some of the biggest problems faced in social media. We
present the findings of the shared tasks (https://constraint-shared-task-2021. github. io/) …

[EN] This overview presents the Author Profiling shared task at PAN 2021. The focus of this
year¿ s task is on determining whether or not the author of a Twitter feed is keen to spread …

In this paper, we present the report and findings of the Shared Task on Aggression and
Gendered Aggression Identification organised as part of the Second Workshop on Trolling …

In the ever-evolving landscape of online discourse and political dialogue, the rise of hate
speech poses a significant challenge to maintaining a respectful and inclusive digital …

Violence against women and children is a public health issue of pandemic proportions. It is
estimated that one in every three women worldwide has experienced physical, emotional, or …

Abstract Hate Speech Detection (HSD) aims to identify whether a text contains hate speech
content, which often refers to discrimination and is even associated with a hate crime. The …

The pervasiveness of abusive content on the internet can lead to severe psychological and
physical harm. Significant effort in Natural Language Processing (NLP) research has been …