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Answer Presentation in Question Answering over Linked Data using Typed Dependency Subtree Patterns

机译:使用类型化相关性子树模式对链接数据进行问题解答中的问题解答演示

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摘要

In an era where highly accurate Question Answering (QA) systems are being built using complex Natural Language Processing (NLP) and Information Retrieval (IR) algorithms, presenting the acquired answer to the user akin to a human answer is also crucial. In this paper we present an answer presentation strategy by embedding the answer in a sentence which is developed by incorporating the linguistic structure of the source question extracted through typed dependency parsing. The evaluation using human participants proved that the methodology is human-competitive and can result in linguistically correct sentences for more that 70% of the test dataset acquired from QALD question dataset.
机译:在使用复杂的自然语言处理(NLP)和信息检索(IR)算法构建高度准确的问答系统(QA)的时代,将获取的答案呈现给用户类似于人类的答案也至关重要。在本文中,我们通过将答案嵌入句子中来提出答案呈现策略,该句子是通过合并通过类型依赖性解析提取的源问题的语言结构而开发的。使用人类参与者进行的评估证明,该方法具有人类竞争力,并且可以从QALD问题数据集中获取超过70%的测试数据集的语言正确句子。

著录项

  • 来源
  • 会议地点 Osaka(JP)
  • 作者

    Rivindu Perera; Parma Nand;

  • 作者单位

    School of Engineering, Computer and Mathematical Sciences Auckland University of Technology Auckland, New Zealand;

    School of Engineering, Computer and Mathematical Sciences Auckland University of Technology Auckland, New Zealand;

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

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