[Apologies for multiple postings]
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[CFP] HASOC: Hate Speech and Offensive Content Identification at FIRE 2024
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We are excited to announce the 6th edition of HASOC, consisting of various interesting shared tasks. We invite you to participate in the same. HASOC 2024 will offer two classification tasks. It will focus on the identification of hate and offensive language in English and Bangla. The first task mainly focuses on the binary classification of hate speech in the English language.
Task 1: Binary Classification in English:
Task 1 focused on hate speech and offensive language identification is offered for English. It is a coarse-grained binary classification in which participants are required to classify tweets into two classes, namely: hate and offensive (HOF) and non-hate and offensive (NOT). Only Test dataset are provided for task 1.
Task-2: Code-mixed classification in Bangla:
Task 2 is based on OLID taxonomy with minor modifications. Task 2 has two subtasks. Subtask 2A focused on hate speech and offensive language identification in code-mixed Bangla. It is a coarse-grained binary classification in which participants are required to classify tweets into two classes, namely: hate and offensive (HOF) and non-hate and offensive (NOT).
Subtask 2B further categorizes Offensive posts in subatask 2A are divided into three categories:
Important dates
Website: https://hasocfire.github.io/hasoc/2024/index.html
Task organizers