Add to ORKGWe present the results and main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval 2020). The task involves three subtasks corresponding to the hierarchical taxonomy of the OLID schema (Zampieri et al., 2019a) from OffensEval 2019. The task featured five languages: English, Arabic, Danish, Greek, and Turkish for Subtask A. In addition, English also featured Subtasks B and C. OffensEval 2020 was one of the most popular tasks at SemEval-2020 attracting a large number of participants across all subtasks and also across all languages. A total of 528 teams signed up to participate in the task, 145 teams submitted systems during the evaluation period, and 70 submitted system description ...
The widespread presence of offensive content is a major issue in social media. This has motivated th...
The popularity of social media platforms has led to an increase in user-generated content being post...
In recent years, the widespread use of social media has led to an increase in the generation of toxi...
The task involves three subtasks corresponding to the hierarchical taxonomy of the OLID schema (Zamp...
In this paper, we describe the team BRUMS entry to OffensEval 2: Multilingual Offensive Language Ide...
This paper presents the different models submitted by the LT@Helsinki team for the SemEval2020 Share...
In this paper we present our submission to sub-task A at SemEval 2020 Task 12: Multilingual Offensiv...
We introduce an approach to multilingual Offensive Language Detection based on the mBERT transformer...
We present the second edition of the GermEval Shared Task on the Identification of Offensive Languag...
The OffensEval shared tasks organized as part of SemEval-2019–2020 were very popular, attracting ove...
Offensive content is pervasive in social media and a reason for concern to companies and government ...
This is an accepted manuscript of a paper published by ACM on 10/11/2021, available online: https://...
The paper describes the systems submitted to OffensEval (SemEval 2019, Task 6) on ‘Identifying and C...
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computationa...
This paper describes the system submitted by the RGCL team to GermEval 2019 Shared Task 2: Identific...
The widespread presence of offensive content is a major issue in social media. This has motivated th...
The popularity of social media platforms has led to an increase in user-generated content being post...
In recent years, the widespread use of social media has led to an increase in the generation of toxi...
The task involves three subtasks corresponding to the hierarchical taxonomy of the OLID schema (Zamp...
In this paper, we describe the team BRUMS entry to OffensEval 2: Multilingual Offensive Language Ide...
This paper presents the different models submitted by the LT@Helsinki team for the SemEval2020 Share...
In this paper we present our submission to sub-task A at SemEval 2020 Task 12: Multilingual Offensiv...
We introduce an approach to multilingual Offensive Language Detection based on the mBERT transformer...
We present the second edition of the GermEval Shared Task on the Identification of Offensive Languag...
The OffensEval shared tasks organized as part of SemEval-2019–2020 were very popular, attracting ove...
Offensive content is pervasive in social media and a reason for concern to companies and government ...
This is an accepted manuscript of a paper published by ACM on 10/11/2021, available online: https://...
The paper describes the systems submitted to OffensEval (SemEval 2019, Task 6) on ‘Identifying and C...
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computationa...
This paper describes the system submitted by the RGCL team to GermEval 2019 Shared Task 2: Identific...
The widespread presence of offensive content is a major issue in social media. This has motivated th...
The popularity of social media platforms has led to an increase in user-generated content being post...
In recent years, the widespread use of social media has led to an increase in the generation of toxi...