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Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling

机译:使用基于主题的建模来挖掘19世纪哲学著作中的论点

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摘要

In this paper we look at the manual analysis of arguments and how this compares to the current state of automatic argument analysis. These considerations are used to develop a new approach combining a machine learning algorithm to extract propositions from text, with a topic model to determine argument structure. The results of this method are compared to a manual analysis.
机译:在本文中,我们着眼于参数的手动分析,以及如何将其与自动参数分析的当前状态进行比较。这些考虑因素用于开发一种新方法,该方法将机器学习算法从文本中提取命题与主题模型确定论点结构相结合。将该方法的结果与手动分析进行比较。

著录项

  • 来源
  • 会议地点 Baltimore MA(US)
  • 作者单位

    School of Computing, University of Dundee, UK;

    School of Computing, University of Dundee, UK;

    Cass School of Education Communities, University of East London, UK;

    Cass School of Education Communities, University of East London, UK;

    Dept of History Philosophy of Science, Indiana University, USA;

    Centre for Digital Philosophy, University of Western Ontario, Canada;

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

  • 入库时间 2022-08-26 14:23:26

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