@inproceedings{d518db25b454483c829b78972ef83824,
title = "Single turn Chinese emotional conversation generation based on information retrieval and question answering",
abstract = "Emotional conversation is attracting more attention in natural language understanding and machine intelligence. In this paper, we propose a single turn Chinese emotional conversation generation system. Given a post, our system generates appropriate responses from large-scale conversation datasets together with corresponding emotional labels. This system consists of four components, i.e., information retrieval (IR) system, language model, question answering (QA) system and emotion classifier. The experimental results on benchmark dataset show that our system is capable of retrieving appropriate responses with emotional labels.",
keywords = "Emotion classifier, Emotional conversation, Information retrieval, Question answering",
author = "Zhiheng Zhou and Man Lan and Yuanbin Wu and Jun Lang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 21st International Conference on Asian Language Processing, IALP 2017 ; Conference date: 05-12-2017 Through 07-12-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/IALP.2017.8300556",
language = "英语",
series = "Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "103--106",
editor = "Rong Tong and Yue Zhang and Yanfeng Lu and Minghui Dong",
booktitle = "Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017",
address = "美国",
}