Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
Insight SFI Research Centre for Data Analytics, National University of Ireland Galway（爱尔兰国立大学戈尔韦分校Insight数据分析研究中心）；TR Labs, Thomson Reuters（汤森路透TR实验室）；ULTRA Arts and Science College（ULTRA文理学院）；National Institute of Technology Karnataka Surathkal（卡纳塔克邦苏拉特卡尔国立技术学院）；Eastern University（东方大学）；National Institute of Technology Tiruchirappalli（蒂鲁吉拉帕利国立技术学院）；SRM Institute of Science and Technology（SRM科学技术学院）
With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms. Since offensive language identification in local languages is essential to moderate the social media content, in this paper we work with three Dravidian languages, namely Malayalam, Tamil, and Kannada, that are under-resourced. We present an evaluation task at FIRE 2020- HASOC-DravidianCodeMix and DravidianLangTech at EACL 2021, designed to provide a framework for comparing different approaches to this problem. This paper describes the data creation, defines the task, lists the participating systems, and discusses various methods.
Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments
Georgia Institute of Technology（佐治亚理工学院）；Data Science Institute, National University of Ireland Galway（爱尔兰国立高威大学数据科学研究所）；National Institute of Technology Karnataka Surathkal（卡纳塔克邦苏拉特卡尔国家理工学院）；National Institute of Technology, Trichy（特里奇国家理工学院）；Vellore Institute of Technology（韦洛尔理工学院）；Eastern University, Sri Lanka（斯里兰卡东方大学）；Indian Institute of Information Technology and Management, Kerala（喀拉拉邦印度信息技术与管理学院）；Thiagarajar College of Engineering（蒂亚加拉贾工程学院）
Pegasus@Dravidian-CodeMix-HASOC2021: Analyzing Social Media Content for Detection of Offensive Text
Indian Institute of Information Technology Tiruchirappalli（蒂鲁吉拉帕利信息技术学院）；Kongu Engineering College（贡古工程学院）；Sri Krishna Adithya College of Arts and Science（斯里克里希纳阿迪蒂亚文理学院）；Sultan Idris Education University（苏丹伊德里斯教育大学）
为了解决检测攻击性评论/帖子的难题，这些评论/帖子是相当非正式的，非结构化的，错误的和代码混合的，我们在这篇研究论文中介绍了两种创造性的方法。社交媒体平台上的攻击性评论/帖子可能会影响个人，团体或未成年人。为了对两种流行的德拉威语言（泰米尔语和马拉雅拉姆语）的评论/帖子进行分类，作为HASOC - DravidianCodeMix FIRE 2021共享任务的一部分，我们采用了两个基于transformer的原型，它们成功地在所有任务中排名前8位。我们的方法的代码可以查看和使用。
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text
National University of Ireland Galway（爱尔兰国立大学戈尔韦分校）；ULTRA Arts and Science College（ULTRA艺术与科学学院）；Cardiff University（卡迪夫大学）；Indian Institute of Information Technology and Management-Kerala（印度喀拉拉邦信息技术与管理学院）
Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling
Indian Institute of Information Technology Tiruchirappalli（蒂鲁奇拉帕利印度信息技术学院）；ULTRA Arts and Science College（ULTRA文理学院）；Eastern University（东方大学）；Kongu Engineering College（孔古工程学院）；Sri Sivasubramaniya Nadar College of Engineering（斯里·西瓦苏布拉马尼亚·纳达尔工程学院）；Insight SFI Research Centre for Data Analytics, National University of Ireland Galway（爱尔兰国立大学戈尔韦分校SFI洞察数据分析研究中心）
KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Code-Mixed Social Media text
Institute of Management and Research, Jalgaon, Affil- KBC North Maharashtra University（贾尔冈管理与研究学院，隶属于KBC北马哈拉施特拉大学）；School of Computer Sciences, KBC North Maharashtra University（KBC北马哈拉施特拉大学计算机科学学院）；Copenhagen Business School（哥本哈根商学院）；BMCC college of commerce, Pune（BMCC商学院，浦那）
