Ensemble of Feature Sets and Classification Methods for Stance Detection

摘要：

　　Stance detection is the task of automatically determining the authors favorability towards a given target.However,the target may not be explicitly mentioned in the text and even someone may refer some positive opinions to against the target,which make the task more difficult.In this paper,we describe an ensemble framework which integrates various feature sets and classification methods,and does not consist any handcrafted templates or rules to help stance detection.We submit our solution to NLPCC 2016 shared task: Detecting Stance in Chinese Weibo(Task A),which is a supervised task towards five targets.The official results show that our solution of the team “CBrain achieves one 1st place and one 2nd place on these targets,and the overall ranking is 4th out of 16 teams.

关键词： Stance Detection Ensemble Framework Text Classification Chinese Weibo

作者: Jiaming Xu Suncong Zheng Jing Shi Yiqun Yao Bo Xu

作者单位: Institute of Automation,Chinese Academy of Sciences(CAS). Beijing,China Institute of Automation,Chinese Academy of Sciences(CAS). Beijing,China;Center for Excellence in Bra

会议类型: 国际会议

会议名称: 第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)

会议地点: 昆明

会议语种:英文

页码: 1-12

在线出版日期: 2016-12-02（万方平台首次上网日期，不代表论文的发表时间）