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Hate Speech and Offensive Content Identification (HASOC)
Task 1 - English and Indo-Aryan Languages
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)
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Task 1 Description:
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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.
Sub-task A: Identifying Hate, offensive and profane
content
Sub-task A focus on Hate speech and Offensive language
identification offered for English, Marathi, 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, Marathi, 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 content.
- (OFFN) Offenive :- Posts under this class contain
offensive content.
- (PRFN) Profane :- These posts contain profane words.
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Timeline main track
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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
13-17 December FIRE takes place virtually, India.
December Accepted participant papers appear at
CEUR WS
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Organisers
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Thomas Mandl :- University of Hildesheim, Germany
Sandip Modha :- DA-IICT & LDRP-ITR, Gandhinagar, India
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
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Best Regards,
HASOC (2021) Organising Team