Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3321-3325

Simple question answering with entity ranking and joint fact selection

Liu Yuefeng
Zhang Lina
Yang Yuhui
Zhang Gong
Zhang Chenrong
School of Information Engineering, Inner Mongolia University of Science & Technology, Baotou Inner Mongolia 014010, China
DOI: 10.19734/j.issn.1001-3695.2019.07.0271

Abstract

To solve the problem that most models do not make full use of candidate entity ranking and ignore the subject-relation dependency in simple question answering over knowledge graph, this paper proposed a method based on entity ranking and joint fact selection. It divided the whole process into three steps: pattern extraction, entity ranking and joint fact selection. Firstly, it extracted the natural language question by the BILSTM-CRF, divided it into two parts: mention and pattern. Then, it sorted the candidate entities by using the literal and semantic similarity of the subject and the mention to select candidate facts. Finally, in order to select the most correct subject-relation in the candidate fact pool, the joint fact selection model enhanced this process with multi-level encoding. Experiments show that the method can significantly improve the accuracy, recall rate on the simple questions dataset. The experimental results indicate the feasibility of the proposed method for simple question answering over knowledge graph.

Foundation Support

国家自然科学基金资助项目(51565046)
内蒙古自然科学基金资助项目(2018MS06019)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0271
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3321-3325
Serial Number: 1001-3695(2020)11-024-3321-05

Publish History

[2020-11-05] Printed Article

Cite This Article

刘月峰, 张丽娜, 杨宇慧, 等. 基于实体排序和联合事实选择的知识库问答 [J]. 计算机应用研究, 2020, 37 (11): 3321-3325. (Liu Yuefeng, Zhang Lina, Yang Yuhui, et al. Simple question answering with entity ranking and joint fact selection [J]. Application Research of Computers, 2020, 37 (11): 3321-3325. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)