# ANDES at SemEval-2020 Task 12: A jointly-trained BERT multilingual model for offensive language detection

arXiv: https://arxiv.org/abs/2008.06408 · HTML: https://mlsanity.com/paper/2008.06408/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Aug 2020.

## Built on by (most cited first, 2 of 2)

- [Cross-lingual hate speech detection based on multilingual domain-specific word embeddings](https://mlsanity.com/paper/2104.14728/) (2021)
- [LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification](https://mlsanity.com/paper/2304.00913/) (2023)

## Abstract (arXiv)

This paper describes our participation in SemEval-2020 Task 12: Multilingual Offensive Language Detection. We jointly-trained a single model by fine-tuning Multilingual BERT to tackle the task across all the proposed languages: English, Danish, Turkish, Greek and Arabic. Our single model had competitive results, with a performance close to top-performing systems in spite of sharing the same parameters across all languages. Zero-shot and few-shot experiments were also conducted to analyze the transference performance among these languages. We make our code public for further research