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Constructing a Hybrid Automatic Q&A System Integrating Knowledge Graph and Information Retrieval Technologies

  • Yang LiuEmail author
  • Bin Xu
  • Yuji Yang
  • Tonglee Chung
  • Peng Zhang
Conference paper
Part of the Lecture Notes in Educational Technology book series (LNET)

Abstract

Question-answering (QA) system provides a friendly way for human-computer interaction, which has become an important research direction of smart learning. It provides an easy and individual way for the learner to acquire knowledge. This paper focuses on K-12 education and constructs a hybrid automatic question-answering system which integrates Knowledge Based Question Answering (KB-QA) and Information Retrieval-based Question Answering (IR-QA). The system is built based on Chinese textbooks and a Chinese K-12 knowledge graph (edukg.org). Our QA system covers 9 subjects in K-12 education field, including mathematics, Chinese, geography, history, etc. We evaluate our system on more than 9,000 questions, and achieve average accuracy over 70%. The system could provide effective assistance for teachers’ teaching and students’ learning.

Keywords

Smart Educatio Knowledge Base Question Answering 

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Notes

Acknowledgement

This work is partly supported by National Engineering Laboratory for Cyberlearning and Intelligent Technology. Beijing Key Lab of Networked Multimedia also supports our research work.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Yang Liu
    • 1
    Email author
  • Bin Xu
    • 1
  • Yuji Yang
    • 1
  • Tonglee Chung
    • 1
  • Peng Zhang
    • 1
  1. 1.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina

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