论文标题
Semeval-2020任务7：评估编辑的新闻头条中的幽默
SemEval-2020 Task 7: Assessing Humor in Edited News Headlines
论文作者
论文摘要
本文描述了Semeval-2020共享任务“评估编辑的新闻头条中的幽默”。该任务的数据集包含新闻头条，其中使用简短的编辑以使其有趣，并且这些编辑的头条新闻的趣味性使用众包进行了评分。该任务包括两个子任务，其中第一个是在0-3间隔中估算幽默量表的头条新闻的趣味性。第二个子任务是预测相同原始标题的编辑版本，即更有趣的版本。迄今为止，此任务是最受欢迎的共享计算幽默任务，在第二个子任务中吸引了48个团队和第二个团队。
This paper describes the SemEval-2020 shared task "Assessing Humor in Edited News Headlines." The task's dataset contains news headlines in which short edits were applied to make them funny, and the funniness of these edited headlines was rated using crowdsourcing. This task includes two subtasks, the first of which is to estimate the funniness of headlines on a humor scale in the interval 0-3. The second subtask is to predict, for a pair of edited versions of the same original headline, which is the funnier version. To date, this task is the most popular shared computational humor task, attracting 48 teams for the first subtask and 31 teams for the second.
