Files
datahub/examples/turing/content/datasets/large-scale-hate-speech-detection-with-cross-domain-tranfer.md
Luccas Mateus de Medeiros Gomes 7822440f0d [examples/turing] - rename it to turing
2023-05-11 16:13:09 -03:00

15 lines
875 B
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
---
title: Large-Scale Hate Speech Detection with Cross-Domain Transfer
link-to-publication: https://aclanthology.org/2022.lrec-1.238/
link-to-data: https://github.com/avaapm/hatespeech
task-description: Three-class (Hate speech, Offensive language, None)
details-of-task: Hate speech detection on social media (Twitter) including 5 target groups (gender, race, religion, politics, sports)
size-of-dataset: "100k English (27593 hate, 30747 offensive, 41660 none)"
percentage-abusive: 58.3
language: English
level-of-annotation: ["Posts"]
platform: ["Twitter"]
medium: ["Text", "Image"]
reference: "Cagri Toraman, Furkan Şahinuç, Eyup Yilmaz. 2022. Large-Scale Hate Speech Detection with Cross-Domain Transfer. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 22152225, Marseille, France. European Language Resources Association."
---