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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 10
2993-2999

Integration of background knowledge and common sense perception for dialogue generation

Wang Hongsong
Ye Haoxian
Li Jiazhan
School of Software, South China Normal University, Foshan Guangdong 528225, China
DOI: 10.19734/j.issn.1001-3695.2024.03.0048

Abstract

One of the key issues in background-based conversation is knowledge extraction. However, due to the insufficient information in some conversations, especially when there is less information in certain dialogues, choosing the appropriate knowledge becomes particularly challenging. Furthermore, the current generation methods lack the capability to dynamically select background knowledge. To address these issues, this paper proposed the KIF model, which incorporated a knowledge enhancement library and knowledge vectors and introduced a knowledge tracking module and a knowledge sentiment feedback module to solve the aforementioned problems. The model obtained weight vectors of external knowledge and background knowledge through a dual matching matrix method and performs knowledge selection. For each decoding step, the model generated conversation based on historical dialogues and external knowledge. Finally, experiments on the Holl-E and WoW datasets show that the KIF model significantly outperforms previous models.

Foundation Support

国家自然科学基金资助项目(62076103)
广东省基础与应用基础研究基金资助项目(2021A15150117)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0048
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 10
Section: Algorithm Research & Explore
Pages: 2993-2999
Serial Number: 1001-3695(2024)10-016-2993-07

Publish History

[2024-07-05] Accepted Paper
[2024-10-05] Printed Article

Cite This Article

汪红松, 叶浩贤, 李嘉展. 融合背景知识和常识感知的对话生成 [J]. 计算机应用研究, 2024, 41 (10): 2993-2999. (Wang Hongsong, Ye Haoxian, Li Jiazhan. Integration of background knowledge and common sense perception for dialogue generation [J]. Application Research of Computers, 2024, 41 (10): 2993-2999. )

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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