English

MUDES: Multilingual Detection of Offensive Spans

Computation and Language 2021-04-20 v2 Artificial Intelligence Machine Learning

Abstract

The interest in offensive content identification in social media has grown substantially in recent years. Previous work has dealt mostly with post level annotations. However, identifying offensive spans is useful in many ways. To help coping with this important challenge, we present MUDES, a multilingual system to detect offensive spans in texts. MUDES features pre-trained models, a Python API for developers, and a user-friendly web-based interface. A detailed description of MUDES' components is presented in this paper.

Keywords

Cite

@article{arxiv.2102.09665,
  title  = {MUDES: Multilingual Detection of Offensive Spans},
  author = {Tharindu Ranasinghe and Marcos Zampieri},
  journal= {arXiv preprint arXiv:2102.09665},
  year   = {2021}
}

Comments

Accepted to NAACL-HLT 2021

R2 v1 2026-06-23T23:18:35.124Z