@inproceedings{e32d7c48324e4654884a4917d790acd0,
title = "Topic aware context modelling for dialogue response generation",
abstract = "Response generation is an important direction in conversation systems. Currently a lot of approaches have been proposed and achieved significant improvement. However, an important limitation has been widely realized as most models tend to generate general answers. To cope with this limitation, besides the needs of more sophisticated generation models, how to use extra information is also an important direction. In this research, inspired by the importance of topics in conversation, we proposed a topic aware context modelling framework by utilizing similar question answer pairs in the repository. Furthermore, we use adversarial learning to improve the quality of generated response. The experimental study has shown the propose framework{\textquoteright}s potential.",
keywords = "Adversarial, Context, Dialogue response, Topic",
author = "Dali Chen and Wenge Rong and Zhiyuan Ma and Yuanxin Ouyang and Zhang Xiong",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 26th International Conference on Neural Information Processing, ICONIP 2019 ; Conference date: 12-12-2019 Through 15-12-2019",
year = "2019",
doi = "10.1007/978-3-030-36718-3\_33",
language = "英语",
isbn = "9783030367176",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "387--397",
editor = "Tom Gedeon and Wong, \{Kok Wai\} and Minho Lee",
booktitle = "Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings",
address = "德国",
}