Memory-Based Matching Models for Multi-turn Response Selection in Retrieval-Based Chatbots

摘要：

　　This paper describes the system we submitted to Task 5 in NLPCC 2018,i.e.,Multi-Turn Dialogue System in Open-Domain.This work focuses on the second subtask: Retrieval Dialogue System.Given conversation sessions and 10 candidates for each dialogue session,this task is to select the most appropriate response from candidates.We design a memory-based matching network integrating sequential matching network and several NLP features together to address this task.Our system finally achieves the precision of 62.61%on test set of NLPCC 2018 subtask 2 and officially released results show that our system ranks 1st among all the participants.

关键词： Multi-turn conversation Response selection Neural networks

作者: Xingwu Lu Man Lan Yuanbin Wu

作者单位: School of Computer Science and Software Engineering,East China Normal University,Shanghai 200062,Peo School of Computer Science and Software Engineering,East China Normal University,Shanghai 200062,Peo

会议类型: 国际会议

会议名称: 2018自然语言处理与中文计算国际会议(NLPCC2018)

会议地点: 呼和浩特

会议语种:英文

页码: 269-278

在线出版日期: 2018-08-26（万方平台首次上网日期，不代表论文的发表时间）