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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 2
372-376

Open domain dialogue generation model based on multi-view adversarial learning

Zhang Liang1
Yang Yan1
Chen Chengcai2
He Liang1
1. School of Computer Science & Technology, East China Normal University, Shanghai 200062, China
2. Shanghai Xiao'i Robot Technology Co. Ltd, Shanghai 201803, China
DOI: 10.19734/j.issn.1001-3695.2020.01.0011

Abstract

Recently, with the emergence and popularity of intelligent applications, non-task oriented dialogue system has played an increasingly important role in daily life. Generation-based dialogue systems receive extraordinary attention of some researchers because they are more flexible. In order to improve the fluency and contextual relevance of the responses generated by models, this paper proposed an open domain dialogue generation model based on binary discriminator in terms of a multi-view adversarial learning framework. The generator of the model rewrote a retrieved response to get a generated response. While the discriminator was composed of two binary classifiers and distinguished the human-generated responses from machine-generated ones. Experiments on a Chinese dialogue corpus show that the model has higher scores on both human and automatic evaluation than baselines. Experiments also show that multi-view training with binary discriminators can improve both the fluency and contextual relevance of the generated responses.

Foundation Support

上海市教科委重点项目(18511105502)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.01.0011
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Algorithm Research & Explore
Pages: 372-376
Serial Number: 1001-3695(2021)02-008-0372-05

Publish History

[2021-02-05] Printed Article

Cite This Article

张凉, 杨燕, 陈成才, 等. 基于多视角对抗学习的开放域对话生成模型 [J]. 计算机应用研究, 2021, 38 (2): 372-376. (Zhang Liang, Yang Yan, Chen Chengcai, et al. Open domain dialogue generation model based on multi-view adversarial learning [J]. Application Research of Computers, 2021, 38 (2): 372-376. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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