The task involves three subtasks corresponding to the hierarchical taxonomy of the OLID schema (Zampieri et al., 2019) from OffensEval 2019. The task featured five languages and this upload is for the English language. 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 papers. This upload includes a test set used in the paper describing the dataset used in the shared task as well as the official test set used in the shared task. T...
Offensive language in social media is a problem currently widely discussed. Researchers in language ...
This paper describes our approach for SemEval-2023 Task 3: Detecting the category, the framing, and ...
Social media has been an effective carrier of information from the day of its inception. People worl...
We present the results and main findings of SemEval-2020 Task 12 on Multilingual Offensive Language ...
In this paper, we describe the team BRUMS entry to OffensEval 2: Multilingual Offensive Language Ide...
The paper describes the systems submitted to OffensEval (SemEval 2019, Task 6) on ‘Identifying and C...
This paper presents the different models submitted by the LT@Helsinki team for the SemEval2020 Share...
The OffensEval shared tasks organized as part of SemEval-2019–2020 were very popular, attracting ove...
We introduce an approach to multilingual Offensive Language Detection based on the mBERT transformer...
The widespread presence of offensive content is a major issue in social media. This has motivated th...
Offensive content is pervasive in social media and a reason for concern to companies and government ...
We present the pilot edition of the GermEval Shared Task on the Identification of Offensive Language...
In this paper we present our submission to sub-task A at SemEval 2020 Task 12: Multilingual Offensiv...
We present the second edition of the GermEval Shared Task on the Identification of Offensive Languag...
This paper presents our submission (HaUA) for Germeval Shared Task 1 (Binary Classification) on the ...
Offensive language in social media is a problem currently widely discussed. Researchers in language ...
This paper describes our approach for SemEval-2023 Task 3: Detecting the category, the framing, and ...
Social media has been an effective carrier of information from the day of its inception. People worl...
We present the results and main findings of SemEval-2020 Task 12 on Multilingual Offensive Language ...
In this paper, we describe the team BRUMS entry to OffensEval 2: Multilingual Offensive Language Ide...
The paper describes the systems submitted to OffensEval (SemEval 2019, Task 6) on ‘Identifying and C...
This paper presents the different models submitted by the LT@Helsinki team for the SemEval2020 Share...
The OffensEval shared tasks organized as part of SemEval-2019–2020 were very popular, attracting ove...
We introduce an approach to multilingual Offensive Language Detection based on the mBERT transformer...
The widespread presence of offensive content is a major issue in social media. This has motivated th...
Offensive content is pervasive in social media and a reason for concern to companies and government ...
We present the pilot edition of the GermEval Shared Task on the Identification of Offensive Language...
In this paper we present our submission to sub-task A at SemEval 2020 Task 12: Multilingual Offensiv...
We present the second edition of the GermEval Shared Task on the Identification of Offensive Languag...
This paper presents our submission (HaUA) for Germeval Shared Task 1 (Binary Classification) on the ...
Offensive language in social media is a problem currently widely discussed. Researchers in language ...
This paper describes our approach for SemEval-2023 Task 3: Detecting the category, the framing, and ...
Social media has been an effective carrier of information from the day of its inception. People worl...