Overview of the NLPCC 2020 Shared Task:Multi-Aspect-Based Multi-Sentiment Analysis(MAMS)

摘要：

　　In this paper,we present an overview of the NLPCC 2020 shared task on Multi-Aspect-based Multi-Sentiment Analysis(MAMS).The evaluation consists of two sub-tasks:(1)aspect term sentiment anal-ysis(ATSA)and(2)aspect category sentiment analysis(ACSA).We manually annotated a large-scale restaurant reviews corpus for MAMS,in which each sentence contains at least two different aspects with dif-ferent sentiment polarities.Thus,the provided MAMS dataset is more challenging than the existing aspect-based sentiment analysis(ABSA)datasets.MAMS attracted a total of 50 teams to participate in the eval-uation task.We believe that MAMS will push forward the research in the field of aspect-based sentiment analysis.

关键词： Multi-Aspect-based Multi-Sentiment Analysis Aspect term sentiment analysis Aspect category sentiment analysis

作者: Lei Chen Ruifeng Xu Min Yang

作者单位: Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China Harbin Institute of Technology(Shenzhen),Shenzhen,China

会议类型: 国际会议

会议名称: 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2020)

会议地点: 郑州

会议语种:英文

页码: 1430-1436

在线出版日期: 2020-10-14（万方平台首次上网日期，不代表论文的发表时间）