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Entity Answer Extraction and Homepage Recognition

机译:实体答案提取和主页识别

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摘要

This paper proposed a method for entity answer extraction, which examined three levels of relevance, including document, passage and entity. The entity answer extraction system and homepage recognition are also described in detail. The results on TRECT 2009 test topics show the effectiveness of our approaches. Accuracy of entity answer extraction reaches 88.93% and accuracy of entity homepage recognition is 91.15%.
机译:本文提出了一种实体答案提取的方法,该方法考察了三个相关级别,包括文档,段落和实体。还详细描述了实体答案提取系统和主页识别。 TRECT 2009测试主题的结果表明了我们方法的有效性。实体答案提取的准确率达到88.93%,实体首页识别的准确率为91.15%。

著录项

  • 来源
    《Journal of information and computational science》 |2010年第1期|P.277-283|共7页
  • 作者单位

    School of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650051, China;

    rnSchool of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650051, China Institute of Intelligent Information Processing, Computer Technology Application Key Laboratory of Yunnan Province, Kunming 650051, China;

    rnSchool of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650051, China;

    rnSchool of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650051, China;

    rnSchool of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650051, China;

    rnSchool of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650051, China Institute of Intelligent Information Processing, Computer Technology Application Key Laboratory of Yunnan Province, Kunming 650051, China;

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

    entity answer extraction; named entity recognition; homepage recognition; TREC;

    机译:实体答案提取;命名实体识别;主页识别;TREC;

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