SocialNLP EmotionGIF 2020挑战赛概述：预测社交媒体上的反应GIF类别
SocialNLP EmotionGIF 2020 Challenge Overview: Predicting Reaction GIF Categories on Social Media
摘要：
我们介绍了在第八届社交媒体自然语言处理国际研讨会（SocialNLP）上与ACL 2020联合举办的AdmissionGIF 2020挑战赛的概况。这项挑战要求预测对在线文本的情感反应，并包括了AdmissionGIF数据集，其中的推文被标记为反应类别。新的数据集包括4万条推文及其反应GIF。由于二零二零年的特殊情况，本集团进行了两轮比赛。共有84个小组登记参加这项任务。其中，25支队伍在第一轮中成功提交了参赛作品，13支队伍成功参加了第二轮。在顶级参与者中，有五个团队提交了技术报告并分享了他们的代码。获胜团队使用Recall@K指标的最高得分为62.47%。
英文摘要：
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%.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
