@inproceedings{f863c6864edd41e3b8389598d9980777,
title = "Memory-Based Matching Models for Multi-turn Response Selection in Retrieval-Based Chatbots",
abstract = "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.",
keywords = "Multi-turn conversation, Neural networks, Response selection",
author = "Xingwu Lu and Man Lan and Yuanbin Wu",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 7th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2018 ; Conference date: 26-08-2018 Through 30-08-2018",
year = "2018",
doi = "10.1007/978-3-319-99495-6\_23",
language = "英语",
isbn = "9783319994949",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "269--278",
editor = "Dongyan Zhao and Sujian Li and Min Zhang and Vincent Ng and Hongying Zan",
booktitle = "Natural Language Processing and Chinese Computing - 7th CCF International Conference, NLPCC 2018, Proceedings",
address = "德国",
}