Second Call for Participation

SemEval 2019 Task 6 - OffensEval: Identifying and Categorizing Offensive 
Language in Social Media
Shared Task Website: https://competitions.codalab.org/competitions/20011

Offensive language is pervasive in social media. Online communities, social 
media platforms, and technology companies have been investing heavily in ways 
to cope with offensive language to prevent abusive behavior in social media. 
One of the most effective strategies to tackle this problem is to use 
computational methods to identify offense, aggression, and hate speech in 
user-generated content (e.g. posts, comments, microblogs, etc.).

In OffensEval we provide participants with a dataset containing posts from 
social media. The trial and training sets are available. The evaluation phase 
starts in January 2019.

Sub-tasks

In OffensEval we break down offensive content into three sub-tasks taking the 
type and target of offensive messages into account:

Sub-task A - Offensive language identification;
Sub-task B - Automatic categorization of offense types;
Sub-task C - Offense target identification.

Important Dates

15 Jan 2019 - 31 Jan 2019: Evaluation Phase
5 Feb 2019: Results announced
10 Mar 2019: System paper submissions due
10 Apr 2019: Author notifications
20 Apr 2019: Camera ready submissions due

The complete list of dates is available on the task website.

Task Organizers

Marcos Zampieri (University of Wolverhampton, UK)
Shervin Malmasi (Amazon, USA)
Preslav Nakov (Qatar Computing Research Institute, Qatar)
Sara Rosenthal (IBM Research, USA)
Noura Farra (Columbia University, USA)
Ritesh Kumar (Bhim Rao Ambedkar University, India)

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Dr. Marcos Zampieri
Research Group in Computational Linguistics
University of Wolverhampton, UK
http://pers-www.wlv.ac.uk/~u22984/
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