Papers by Ayşecan Terzioğlu

1 papers
A Turkish Hate Speech Dataset and Detection System (2022.lrec-1)

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Challenge: Davidson et al., 2017: hate speech is a discourse that targets a specific group based on race, gender, religion, sexual orientation, etc.
Approach: They propose a machine learning system for automatic detection of hate speech in Turkish . they use a hate speech dataset and a dataset to collect tweets about immigrants .
Outcome: The proposed system is able to detect hate speech in Turkish and annotate it using BERTurk.

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