ABLIMET @LT-EDI-ACL2022: A Roberta based Approach for Homophobia/Transphobia Detection in Social Media
Abulimiti Maimaitituoheti · 2022
This paper describes our system that participated in LT-EDI-ACL2022-Homophobia/Transphobia Detection in Social Media.Sexual minorities face a lot of unfair treatment and discrimination in our world.This creates enormous stress and many psychological problems for sexual minorities.There is a lot of hate speech on the internet, and homophobia/transphobia is one against sexual minorities.Identifying and processing homophobia/transphobia through natural language processing technology can improve the efficiency of processing it, and can quickly screen out it on the Internet.The organizer of the competition constructs a homophobia/ transphobia detection dataset based on YouTube comments for English and Tamil.We use a RoBERTa-based approach to conduct our experiments on the dataset of the competition, and get better results.