A Passage-Level Text Similarity Calculation

摘要：

　　Along with the explosion of web information,information flow service has attracted the attentions of users.In this kind of service,how to measure the similarity between texts and further filter the redundant information collected from multiple sources becomes the key solution to meet user's desire.One text often mentions several events.The core event mostly decides the main content carried by the text.It should take the pivotal position.For this reason,this paper aims to construct a passage-level event connection graph to model the relations among the events mentioned by one text.The core event can be revealed and is further chosen to measure the similarity between two texts.As shown by experimental results,after measuring text similarity from a passage-level event representation perspective,our unsupervised measuring method acquires superior results than unsupervised methods by a large margin and even comparable results with some popular supervised neuron based methods.

关键词： Text similarity calculation Passage-level event representation Event connection graph Vector tuning

作者: Ming Liu Zihao Zheng Bing Qin Yitong Liu

作者单位: Harbin Institute of Technology,Harbin,China;PENG CHENG Laboratory,Shenzhen,China Harbin Institute of Technology,Harbin,China Tencent Technology(Beijing)Co.,Ltd.,Beijing,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: 207-218

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）