A. T. Cignarella, Mirko Lai, C. Bosco, V. Patti, Paolo Rosso
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引用次数: 40
摘要
英语。SardiStance是意大利语在推文立场自动分类方面的第一个共享任务。它有两种不同的设置:A)文本立场检测，仅利用推文提供的信息;B)上下文立场检测，添加推文本身的信息，如转发次数、支持次数或发布日期;关于作者的上下文信息，如关注者数量、位置、用户简介;以及从用户的朋友、关注者、转发、引用和回复网络中提取的额外知识。该任务是EVALITA 2020上参与最多的任务之一(Basile et al.， 2020)，共有22个任务a和13个任务B提交了运行，来自学术界和工业界的12个不同的参与团队。
SardiStance @ EVALITA2020: Overview of the Task on Stance Detection in Italian Tweets
English. SardiStance is the first shared task for Italian on the automatic classification of stance in tweets. It is articulated in two different settings: A) Textual Stance Detection, exploiting only the information provided by the tweet, and B) Contextual Stance Detection, with the addition of information on the tweet itself such as the number of retweets, the number of favours or the date of posting; contextual information about the author, such as follower count, location, user’s biography; and additional knowledge extracted from the user’s network of friends, followers, retweets, quotes and replies. The task has been one of the most participated at EVALITA 2020 (Basile et al., 2020), with a total of 22 submitted runs for Task A, and 13 for Task B, and 12 different participating teams from both academia and industry.
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