Algorithm Research & Explore
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1674-1678,1685

Unsupervised commonsense question-answering model based on curriculum learning

Li Wei
Huang Xianying
Feng Yaru
College of Computer Science & Engineering, Chongqing University of Technology, Chongqing 400054, China

Abstract

Unsupervised commonsense question answering is a question answering model that uses the machine to automatically generate question-answering data. There are some problems in the question-answering data generated by current methods, such as noise data and random difficulty of questions. This paper proposed an unsupervised commonsense question-answering model based on curriculum learning. Firstly, it generated a question-answering dataset according to knowledge, then evaluated the diversity and fluency of the question answering dataset, and filtered the data by combining the two evaluation results to remove noise data. Finally, according to the course learning strategy, it used the similarity between the interference item and the correct answer as the difficulty evaluation standard to train the model according to the difficulty level. The accuracy of the test tasks is improved by 1.5%~3.5%, which proves that the model is effective in unsupervised commonsense question-answering tasks.

Foundation Support

国家自然科学基金资助项目(62141201)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0516
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Algorithm Research & Explore
Pages: 1674-1678,1685
Serial Number: 1001-3695(2023)06-011-1674-05

Publish History

[2023-01-06] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

李伟, 黄贤英, 冯雅茹. 基于课程学习的无监督常识问答模型 [J]. 计算机应用研究, 2023, 40 (6): 1674-1678,1685. (Li Wei, Huang Xianying, Feng Yaru. Unsupervised commonsense question-answering model based on curriculum learning [J]. Application Research of Computers, 2023, 40 (6): 1674-1678,1685. )

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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