ComMA@FIRE 2020: Exploring Multilingual Joint Training across different Classification Tasks
In this paper, we give a description of the systems submitted to the three tracks of FIRE 2020 Hate Speech and Offensive Content Identification in Indo European Languages (HASOC) Sentiment Analysis of Dravidian Languages in Code Mixed Text and Event Detection from News in Indian Languages (EDNIL) While the first two tasks were binary and multi class text classification problems, EDNIL was a sequence classification problem. For all the three tracks, we jointly fine tuned mBERT, DistilBERT, RoBERTa and XLM R using the dataset from all the languages for the given task.
FIRE