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Algorithm Research & Explore
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734-738

Sequence generation model for answer acquisition to machine reading comprehension

Huo Huan1,2
Zou Yiting1
Jin Xuancheng1
Huang Junyang1
Xue Yaohuan1
1. School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
2. Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China

Abstract

This paper proposed a sequence generation model SGN for answer acquisition in the machine reading comprehension task. First, the SGN obtained the matching expression between problem and article in problem matrix space, and generated the word vector of the current node according to the potential problem information. Then, it used a selection gate structure to select the current vocabulary from the article or dictionary, and spontaneously learned and generated OOV word to solve the problem of inaccurate semantic representation. Finally, it used improved coverage mechanism to eliminate redundancies in the generated sequence and improved readability. The experiments adopted the artificial data set SQuAD. The results show that the target sequence generated by SGN is more readable than the benchmark model seq2seq and is closer to the original semantics.

Foundation Support

国家自然科学基金资助项目(61003031)
上海重点科技攻关项目(14511107902)
上海市工程中心建设项目(GCZX14014)
上海市一流学科建设项目(XTKX2012)
上海市数据科学重点实验室开放课题资助项目(201609060003)
沪江基金研究基地专项资助项目(C14001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0616
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Algorithm Research & Explore
Pages: 734-738
Serial Number: 1001-3695(2020)03-021-0734-05

Publish History

[2020-03-05] Printed Article

Cite This Article

霍欢, 邹依婷, 金轩城, 等. 一种针对机器阅读理解中答案获取的序列生成模型 [J]. 计算机应用研究, 2020, 37 (3): 734-738. (Huo Huan, Zou Yiting, Jin Xuancheng, et al. Sequence generation model for answer acquisition to machine reading comprehension [J]. Application Research of Computers, 2020, 37 (3): 734-738. )

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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