We present an overview of the EmotionGIF2020 Challenge, held at the 8th International Workshop on Natural Language Processing for Social Media (SocialNLP), in conjunction with ACL 2020. The challenge required predicting affective reactions to online texts, and included the EmotionGIF dataset, with tweets labeled for the reaction categories. The novel dataset included 40K tweets with their reaction GIFs. Due to the special circumstances of year 2020, two rounds of the competition were conducted. A total of 84 teams registered for the task. Of these, 25 teams success-fully submitted entries to the evaluation phase in the first round, while 13 teams participated successfully in the second round. Of the top participants, five teams presented a technical report and shared their code. The top score of the winning team using the Recall@K metric was 62.47%.

中文翻译：

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SocialNLP EmotionGIF 2020挑战概述：在社交媒体上预测反应GIF类别

我们将与ACL 2020一起在第八届社交媒体自然语言处理国际研讨会（SocialNLP）上举行，介绍EmotionGIF2020挑战。该挑战需要预测对在线文本的情感反应，其中包括EmotionGIF数据集和推文。标有反应类别的标签。新的数据集包含40K条推文及其反应GIF。由于2020年的特殊情况，进行了两轮比赛。共有84个团队注册了该任务。其中，有25个团队在第一轮比赛中成功提交了参赛作品，而有13个团队在第二轮比赛中成功参加了比赛。在最重要的参与者中，有五个小组提交了一份技术报告并分享了他们的代码。使用Recall @ K指标的获胜团队最高分是62。