Identifying informative tweets is an important step when building information extraction systems based on social media. WNUT-2020 Task 2 was organised to recognise informative tweets from noise tweets. In this paper, we present our approach to tackle the task objective using transformers. Overall, our approach achieves 10th place in the final rankings scoring 0.9004 F1 score for the test set.

翻译：在建立基于社交媒体的信息提取系统时,识别信息性推文是一个重要的步骤。 WNUT-2020任务2旨在识别来自噪音推文的信息性推文。 在本文中,我们展示了我们利用变压器实现任务目标的方法。 总体而言,我们的方法在最后排名中位居第10位,测试集得分为0.9004 F1。