Hatebert: Retraining bert for abusive language detection in english
In this paper, we introduce HateBERT, a re-trained BERT model for abusive language
detection in English. The model was trained on RAL-E, a large-scale dataset of Reddit …
detection in English. The model was trained on RAL-E, a large-scale dataset of Reddit …
DALC: the Dutch abusive language corpus
T Caselli, A Schelhaas, M Weultjes… - Proceedings of the …, 2021 - research.rug.nl
As socially unacceptable language become pervasive in social media platforms, the need
for automatic content moderation become more pressing. This contribution introduces the …
for automatic content moderation become more pressing. This contribution introduces the …
Heterogeneous classifier ensemble for sentiment analysis of Bengali and Hindi tweets
K Sarkar - Sādhanā, 2020 - Springer
Sentiment analysis is an essential step for analysing social media texts such as tweets and
other posts on the various micro-blogging sites. The basic step of sentiment analysis is …
other posts on the various micro-blogging sites. The basic step of sentiment analysis is …
Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead
We introduce new large labeled datasets on bias in 3 languages and show in experiments
that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets …
that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets …
NLP_Passau at SemEval-2020 Task 12: Multilingual neural network for offensive language detection in English, Danish and Turkish
O Hussein, H Sfar, J Mitrović… - Proceedings of the …, 2020 - aclanthology.org
This paper describes a neural network (NN) model that was used for participating in the
OffensEval, Task 12 of the SemEval 2020 workshop. The aim of this task is to identify …
OffensEval, Task 12 of the SemEval 2020 workshop. The aim of this task is to identify …