Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 3
726-731,738

Research on RPR fusion model based on reading comprehension intelligent question answering

Wang Huan1
Sun Lei2,3
Wu Bin2
Liu Zhanliang1,4
Zhang Wantong5
Zhang Shuo2
1. School of Information, Renmin University of China, Beijing 100872, China
2. Tianjin Quesoar Intelligent Technology Co. , Ltd. , Tianjin 300350, China
3. School of Information & Electrical Engineering, Hebei University of Engineering, Handan Hebei 056038, China
4. Beijing Academy of Artificial Intelligence, Beijing 100084, China
5. College of Intelligence & Computing, Tianjin University, Tianjin 300350, China
DOI: 10.19734/j.issn.1001-3695.2021.08.0386

Abstract

Intelligent question answering based on reading comprehension refers to letting computers read and comprehend texts like humans, extracts the text information and answers corresponding questions. The pre-training model RoBERTa-wwm-ext uses the extracted original fragments as the answers to the questions, but this method can't solve the two situations that the answer fragments don't exist in the original text or need to reply to the original text after summarizing. The pre-training model is used for generative model training, which can solve the problems that need to summarize the original text to a certain extent. Therefore, this paper improved the method of only using RoBERTa-wwm-ext model to extract answers. On this basis, it integrated the generative question answering model based on RAG model to answer questions that could not be handled by Roberta-wwm-ext and other extraction models. At the same time, this paper absorbed the advantages of PGN model, improved RAG model, and obtained RPGN sub model, which could make better use of reading and understanding articles to generate reasonable answers. Therefore, this paper proposed a fusion model of RPR(RAG, PGN, RoBERTa-wwm-ext), which could be used to deal with both extractive question task and generative question answering task at the same time.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0386
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Algorithm Research & Explore
Pages: 726-731,738
Serial Number: 1001-3695(2022)03-014-0726-06

Publish History

[2021-11-30] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

王寰, 孙雷, 吴斌, 等. 基于阅读理解智能问答的RPR融合模型研究 [J]. 计算机应用研究, 2022, 39 (3): 726-731,738. (Wang Huan, Sun Lei, Wu Bin, et al. Research on RPR fusion model based on reading comprehension intelligent question answering [J]. Application Research of Computers, 2022, 39 (3): 726-731,738. )

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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