LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification
Erfan Ghadery, Marie‐Francine Moens · 2020
This paper presents our system entitled 'LIIR' for SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval 2).We have participated in Subtask A for English, Danish, Greek, Arabic, and Turkish languages.We adapt and fine-tune the BERT and multilingual Bert models made available by Google AI 1 for English and non-English languages respectively.For the English language, we use a combination of two fine-tuned BERT models.For other languages, we propose a cross-lingual augmentation approach in order to enrich training data and we use multilingual BERT to obtain sentence representations.LIIR achieved rank 14/38, 18/47, 24/86, 24/54, and 25/40 in Greek, Turkish, English, Arabic, and Danish languages, respectively.