[Corpora-List] HASOC 2021- Hate Speech shared task 1- Data available - Register now

Thomas Mandl mandl_lists at gmx.de
Mon Jul 26 22:35:52 CEST 2021

----------------------------------------------------------------------------------------------------------------- *Hate Speech and Offensive Content Identification  (HASOC) Task 1 -  English and Indo-Aryan Languages * Shared task at FIRE 2021,  13 - 16 December, Virtual Event: http://fire.irsi.res.in Website: https://hasocfire.github.io/ After Registration, you receive the password for the Datasets Datasets in English, Hindi and Marathi Task on conversational Hate Speech including contextual information (Mixed Script) ---------------------------------------------------------------------------------------------------------------------

Also consider the other HASOC tasks for Dravidian Languages, Arabic and Urdu : http://fire.irsi.res.in/fire/2021/hasoc

*Task 1 Description:* --------------------------

HASOC provides a forum and a data challenge for multilingual research on the identification of problematic content. This year, we offer again English, Marathi and Hindi with, alltogether with Thousands of annotated tweets from Twitter. Participants in this year’s shared task can choose to participate in one or two of the subtasks. Participants can also look at the data of HASOC 2019 and 2020: https://hasocfire.github.io/

*Sub-task A: Identifying Hate, offensive and profane content* * *Sub-task A focus on Hate speech and Offensive language identification offered for English, German, Hindi. Sub-task A is coarse-grained binary classification in which participating system are required to classify tweets into two class, namely: Hate and Offensive (HOF) and Non- Hate and offensive (NOT).

* (NOT) Non Hate-Offensive - This post does not contain any Hate

speech, profane, offensive content.

* (HOF) Hate and Offensive - This post contains Hate, offensive, and

profane content.

*Sub-task B :- Discrimination between Hate, profane and offensive posts* This sub-task  is a fine-grained classification offered for English, German, Hindi.. Hate-speech and offensive posts from the sub-task A are further classified into three categories.

* (HATE) Hate speech :- Posts under this class contain Hate speech


* (OFFN) Offenive :- Posts under this class contain offensive content.

* (PRFN) Profane :- These posts contain profane words.

----------- *Timeline task 1* ------------  

22th July                   Task announcement, training data fully available  1 August                    Release of Training data 16 August                  Registration deadline (see link to form at website) 20 August                  Release of Test data 27 August                  Run submission 22 September           Paper submission (Easychair) 22 October                Notification and Reviews 27 October                Revised system description paper submission 13-16 December       FIRE takes place virtually, organized in Hyderabad, India. December                  Accepted participant papers appear at CEUR WS

Please check web site for registration and further details: https://hasocfire.github.io/

---------------- *Organisers* ---------------- Thomas Mandl :- University of Hildesheim, Germany Sandip Modha :- DA-IICT & LDRP-ITR, Gandhinagar, India Gautam Kishore Shahi: - University of Duisburg-Essen, Germany Durgesh Nandini :-  University of Bamberg, Germany Johannes Schäfer: - University of Hildesheim, Germany Amit Kumar Jaiswal: - University of Bedfordshire, UK Prasenjit Majumder :- DA-IICT, Gandhinagar, India Tharindu Ranasinghe :- University of Wolverhampton, UK Marcos Zampieri :- Rochester Institute of Technology, USA


------------ Thomas Mandl _______________________________________________________

Prof. Dr. Thomas Mandl Information Science Informationswissenschaft University of Hildesheim Universität Hildesheim 31141 Hildesheim - Germany

https://www.uni-hildesheim.de/fb3/institute/iwist/mitglieder/mandl/ ________________________________________________________

HATE Speech Track hasocfire.github.io Project Distant Viewing bit.ly/2IheEig Intl. BA Program GIM www2.daad.de/deutschland/studienangebote/international-programmes/en/detail/6954/ Journal JISTAP jistap.org

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