SIMAH (SocIaL Media And Harassment) is the first competition on categorizing different types of online harassment language in social media

The Institute of Big Data Analytics, Faculty of Computer Science, Dalhousie University, Halifax, Canada is proud to host a competition in the ECML PKDD 2019 conference. This competition, SIMAH (SocIaL Media And Harassment) is the first competition on categorizing different types of online harassment language in social media. The competition tries to bring Natural Language Processing and Machine Learning experts to contribute, in a focused and data-grounded manner, to solving the problem of online harassment and sexism in social media such as Twitter. 
ECML PKDD is the European conference on machine learning and principles and practice of knowledge discovery in databases. It is one of the top conferences in the field. Individuals or teams have the possibility to take part in the competition. Top-ranked participants will have the opportunity of publishing their work in the conference proceeding.
Competition link is as follows: https://sites.google.com/view/simah-2019/home. You need to submit your information in order to receive the dataset and then follow CodaLab competition web page (https://competitions.codalab.org/competitions/22326).
Important dates are as follows:

♣ 1st of April 2019: Data and the forms (for getting dataset) will be provided.
♣ 23 of June- 25 of June 2019: Evaluation ends.
♣ 25 of June-28 of June 2019: Results are notified to participants.
♣ 28 of June-20 of July 2019: paper submission due.
♣ 30 of July 2019: papers reviews due.
♣ 1st of August 2019: Author notification.
♣ 20 of August 2019: Camera ready submission due.
♣ 16-20 of September 2019: ECML PKDD 2019.

We are looking forward to your participation.
Sima Sharifirad (s.sharifirad [at] dal.ca) on behalf of the SIMAH organizers.