Fwd: HASOC - Identification of Conversational Hate-Speech in Code-Mixed Languages (ICHCL) - Shared Task - FIRE 2022
Surupendu Gangopadhyay
From: Thomas Mandl <ma...@uni-hildesheim.de>
Date: Sun, Jun 19, 2022 at 6:04 PM
Subject: HASOC - Identification of Conversational Hate-Speech in Code-Mixed Languages (ICHCL) - Shared Task - FIRE 2022
To: FIRE'21 <fir...@easychair.org>, Surupendu Gangopadhyay <surup...@gmail.com>
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HASOC 2022 - Call for Participation - https://hasocfire.github.io
Identification of Conversational Hate-Speech in Code-Mixed
Languages (ICHCL)
We are happy to announce the release of the dataset for HASOC
2022 on Identification of Conversational Hate-Speech in
Code-Mixed Languages (ICHCL).
Task description:
This task aims to study the various forms of problematic content
such as aggressiveness, hate, offensive, abusive content in
conversational dialogue (with context) on online platforms such
as Twitter. Systems should use the context of a conversation in
order to identify problematic content.
Sub-task description:
This sub-task focused on the binary classification (Subtask-1)
of such conversational tweets with tree-structured data into:
(NOT) Non Hate-Offensive - This tweet, comment, or reply does
not contain any Hate speech, profane, offensive content.
(HOF) Hate and Offensive - This tweet, comment, or reply
contains Hate, offensive, and profane content in itself or
supports hate expressed in the parent tweet.
The data set will be offered in Code Mixed Hindi English as well as German. Teaser data will be available on the web site soon
Furthermore, for Hinglish (Code Mixed Hindi English), we’re
introducing a multiclass task (Subtask-2) that further divides
the HOF tweets into 2 subclasses:
(SHOF) Standalone Hate - This tweet, comment, or reply contains
Hate, offensive, and profane content in itself.
(CHOF) Contextual Hate - Comment or reply is supporting the
hate, offense and profanity expressed in its parent. This
includes affirming the hate with positive sentiment and having
apparent hate.
Organizers:
Thomas Mandl :- University of Hildesheim, Germany
Sandip Modha:- DA-IICT & LDRP-ITR, Gandhinagar, India
Prasenjit Majumder :- DA-IICT, Gandhinagar, India
Hiren Madhu - IISC Bangalore
Shrey Satapara - IIT Hyderabad
Links:
Website Link: https://hasocfire.github.io/hasoc/2022/index.html
Registration Link: https://hasocfire.github.io/hasoc/2022/registration.html
Another task at HASOC will be dedicated to binary text
classification of Hate Speech for Marathi.
