Resources and benchmark corpora for hate speech detection: a systematic review
Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …
gained significant traction in the Natural Language Processing community, as attested by …
SemEval-2020 task 12: Multilingual offensive language identification in social media (OffensEval 2020)
We present the results and main findings of SemEval-2020 Task 12 on Multilingual
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …
Towards multidomain and multilingual abusive language detection: a survey
Abusive language is an important issue in online communication across different platforms
and languages. Having a robust model to detect abusive instances automatically is a …
and languages. Having a robust model to detect abusive instances automatically is a …
Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages and conversational hate speech
The HASOC track is dedicated to the evaluation of technology for finding Offensive
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Multilingual offensive language identification with cross-lingual embeddings
Offensive content is pervasive in social media and a reason for concern to companies and
government organizations. Several studies have been recently published investigating …
government organizations. Several studies have been recently published investigating …
Overview of constraint 2021 shared tasks: Detecting english covid-19 fake news and hindi hostile posts
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/) …
present the findings of the shared tasks (https://constraint-shared-task-2021. github. io/) …
[HTML][HTML] Offensive language identification in dravidian languages using mpnet and cnn
BR Chakravarthi, MB Jagadeeshan… - International Journal of …, 2023 - Elsevier
Social media has effectively replaced traditional forms of communication and marketing. As
these platforms allow for the free expression of ideas and facts through text, images, and …
these platforms allow for the free expression of ideas and facts through text, images, and …
Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers
The pervasiveness of aggressive content in social media has become a serious concern for
government organizations and tech companies because of its pernicious societal effects. In …
government organizations and tech companies because of its pernicious societal effects. In …
Multilingual offensive language identification for low-resource languages
Offensive content is pervasive in social media and a reason for concern to companies and
government organizations. Several studies have been recently published investigating …
government organizations. Several studies have been recently published investigating …
Implicitly abusive language–what does it actually look like and why are we not getting there?
Abusive language detection is an emerging field in natural language processing which has
received a large amount of attention recently. Still the success of automatic detection is …
received a large amount of attention recently. Still the success of automatic detection is …