Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks. In this paper, we present a new multilingual multi-aspect hate speech analysis dataset and use it to test the current state-of-the-art multilingual multitask learning approaches. We evaluate our dataset in various classification settings, then we discuss how to leverage our annotations in order to improve hate speech detection and classification in general.
Multilingual and Multi-Aspect Hate Speech Analysis
A new multilingual multi-aspect hate speech analysis dataset is presented and evaluated using state-of-the-art multilingual multitask learning approaches to improve hate speech detection and classification.
- Year
- 2019
- Venue
- multilingual-and-multi-aspect-hate-speech-1
- Authors
- 5
- Hosting
- Abstract onlyARXIV-DEFAULT
Cite
Notes
Only stored in your browser.
Attribution
- Abstract & full text
- arxiv.org/abs/1908.11049ARXIV-DEFAULT
- TL;DR
- Semantic Scholar