论文标题
使用罗伯塔（Roberta
Detection of COVID-19 informative tweets using RoBERTa
论文作者
论文摘要
诸如Twitter之类的社交媒体是用户生成的信息的热点。在这一持续的19009年大流行中，社交媒体上有大量数据可以归类为信息丰富且不信息的内容。在本文中，我们介绍了使用Roberta模型作为W-NUT研讨会的一部分来检测信息丰富的Covid-19英语推文。我们在公共数据集上显示了模型在验证数据集上的F1得分为0.89的公共数据集上的功效，在排行榜上显示了0.87。
Social media such as Twitter is a hotspot of user-generated information. In this ongoing Covid-19 pandemic, there has been an abundance of data on social media which can be classified as informative and uninformative content. In this paper, we present our work to detect informative Covid-19 English tweets using RoBERTa model as a part of the W-NUT workshop 2020. We show the efficacy of our model on a public dataset with an F1-score of 0.89 on the validation dataset and 0.87 on the leaderboard.
