Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network

Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu


Abstract
Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context. In this paper, we investigate matching a response with its multi-turn context using dependency information based entirely on attention. Our solution is inspired by the recently proposed Transformer in machine translation (Vaswani et al., 2017) and we extend the attention mechanism in two ways. First, we construct representations of text segments at different granularities solely with stacked self-attention. Second, we try to extract the truly matched segment pairs with attention across the context and response. We jointly introduce those two kinds of attention in one uniform neural network. Experiments on two large-scale multi-turn response selection tasks show that our proposed model significantly outperforms the state-of-the-art models.
Anthology ID:
P18-1103
Volume:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
July
Year:
2018
Address:
Melbourne, Australia
Editors:
Iryna Gurevych, Yusuke Miyao
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1118–1127
Language:
URL:
https://aclanthology.org/P18-1103
DOI:
10.18653/v1/P18-1103
Bibkey:
Cite (ACL):
Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, and Hua Wu. 2018. Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1118–1127, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network (Zhou et al., ACL 2018)
Copy Citation:
PDF:
https://aclanthology.org/P18-1103.pdf
Software:
 P18-1103.Software.zip
Presentation:
 P18-1103.Presentation.pdf
Video:
 https://vimeo.com/285802323
Code
 baidu/Dialogue +  additional community code
Data
DoubanDouban Conversation CorpusRRSUDC