SIU2023-NST - Hate speech detection contest

Arın, İnanç and Işık, Zeynep and Kutal, Seçilay and Dehghan, Somaiyeh and Özgür, Arzucan and Yanıkoğlu, Berrin (2023) SIU2023-NST - Hate speech detection contest. In: 31st Signal Processing and Communications Applications Conference (SIU), Istanbul, Turkiye

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Hate speech spread on social media can strongly affect people and societies, especially when it targets a specific group of people in terms of religion, culture, or a specific social situation, such as refugees. For this reason, the detection and elimination of hate speech in social networks have attracted the attention of natural language processing researchers in recent years. A competition is organized to benchmark progress in Turkish hate speech recognition, within SI ̇U2023 Computational Social Sciences special session, with four different tasks. A total of 20 teams registered for the competition, while eight teams submitted results at the end. The details of the winning models and their results are explained in this paper.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: Deep Learning; Hate Speech Detection; Natural Language Processing; Turkish Language
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Berrin Yanıkoğlu
Date Deposited: 03 Oct 2023 23:10
Last Modified: 07 Feb 2024 14:40

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