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

August 13, 2020 · Entered Twilight · 🏛 International Workshop on Semantic Evaluation

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Authors Juan Manuel Pérez, Aymé Arango, Franco Luque arXiv ID 2008.06408 Category cs.CL: Computation & Language Citations 4 Venue International Workshop on Semantic Evaluation Repository https://github.com/finiteautomata/offenseval2020 ⭐ 3 Last Checked 4 months ago

Abstract

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