Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots

Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu

Abstract
This paper proposes a dually interactive matching network (DIM) for presenting the personalities of dialogue agents in retrieval-based chatbots. This model develops from the interactive matching network (IMN) which models the matching degree between a context composed of multiple utterances and a response candidate. Compared with previous persona fusion approach which enhances the representation of a context by calculating its similarity with a given persona, the DIM model adopts a dual matching architecture, which performs interactive matching between responses and contexts and between responses and personas respectively for ranking response candidates. Experimental results on PERSONA-CHAT dataset show that the DIM model outperforms its baseline model, i.e., IMN with persona fusion, by a margin of 14.5% and outperforms the present state-of-the-art model by a margin of 27.7% in terms of top-1 accuracy hits@1.
Anthology ID:
D19-1193
Volume:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Month:
November
Year:
2019
Address:
Hong Kong, China
Editors:
Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan
Venues:
EMNLP | IJCNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1845–1854
Language:
URL:
https://aclanthology.org/D19-1193
DOI:
10.18653/v1/D19-1193
Bibkey:
Cite (ACL):
Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, and Quan Liu. 2019. Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 1845–1854, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots (Gu et al., EMNLP-IJCNLP 2019)
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PDF:
https://preview.aclanthology.org/fix-dup-bibkey/D19-1193.pdf
Code
 JasonForJoy/DIM
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