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Answering Multiple-Choice Questions in Geographical Gaokao with a Concept Graph

机译：用概念图回答地理高考中的多项选择题

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摘要

Answering questions in Gaokao (the national college entrance examination in China) brings a great challenge for recent AI systems, where the difficulty of questions and the lack of formal knowledge are two main obstacles, among others. In this paper, we focus on answering multiple-choice questions in geographical Gaokao. Specifically, a concept graph is automatically constructed from textbook tables and Chinese wild encyclopedia, to capture core concepts and relations in geography. Based on this concept graph, a graph search based question answering approach is designed to find explainable inference paths between questions and options. We developed an online system called CGQA and conducted experiments on two real datasets created from the last ten year geographical Gaokao. Our experimental results demonstrated that CGQA can generate accurate judgments and provide explainable solving procedures. Additionally, CGQA showed promising improvement by combining with existing approaches.
机译：高考（中国的全国高考）中的问题解答给最近的AI系统带来了巨大的挑战，其中，问题的难度和缺乏形式知识是两个主要障碍。在本文中，我们专注于回答地理“高考”中的多项选择题。具体来说，概念图是根据教科书表格和中国野生百科全书自动构建的，以捕获地理上的核心概念和关系。基于此概念图，设计了一种基于图搜索的问题回答方法，以查找问题和选项之间的可解释的推理路径。我们开发了一个称为CGQA的在线系统，并根据最近十年的地理高考创建的两个真实数据集进行了实验。我们的实验结果表明，CGQA可以产生准确的判断并提供可解释的解决程序。此外，CGQA与现有方法相结合显示出令人鼓舞的改进。

著录项

  • 来源
    《The semantic web》|2018年|161-176|共16页
  • 会议地点 Crete(GR)
  • 作者

    Jiwei Ding; Yuan Wang; Wei Hu; Linfeng Shi; Yuzhong Qu;

  • 作者单位

    National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China;

    National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China;

    National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China;

    National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China;

    National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Concept graph; Geographical Gaokao Question answering; CGQA;

    机译：概念图；地理高考问题解答; CGQA;

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