IDIAP Submission@LT-EDI-ACL2022: Homophobia/Transphobia Detection in social media comments

被引：0
|
作者：
Singh, Muskaan [1 ]
Motlicek, Petr [1 ]
机构：
[1] IDIAP Res Inst, Martigny, Switzerland
来源：
PROCEEDINGS OF THE SECOND WORKSHOP ON LANGUAGE TECHNOLOGY FOR EQUALITY, DIVERSITY AND INCLUSION (LTEDI 2022) | 2022年
基金：
欧盟地平线“2020”;
关键词：
GAY; VICTIMIZATION; SUPPORT; YOUTH;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The increased expansion of abusive content on social media platforms negatively affects online users. Transphobic/homophobic content indicates hatred comments for lesbian, gay, transgender, or bisexual people. It leads to offensive speech and causes severe social problems that can make online platforms toxic and unpleasant to LGBT+people, endeavoring to eliminate equality, diversity, and inclusion. In this paper, we present our classification system; given comments, it predicts whether or not it contains any form of homophobia/transphobia with a Zero-Shot learning framework. Our system submission achieved 0.40, 0.85, 0.89 F1-score for Tamil and Tamil-English, English with (1st, 1st,8th) ranks respectively. We release our codebase here(1).
引用
收藏
页码：356 / 361
页数：6
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