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Study on the Method of Precise Entity Search Based on Baidu's Query

机译：基于百度查询的精确实体搜索方法研究

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摘要

For a given query, searching for entities that conform to the description facts in the given set, in view of this goal, this paper proposes a matching method based on classification and semantic extension. The algorithm firstly to classify the query string into three categories, and extract the key word of different categories of query word. Then the keyword is extended to get the matching word set based on the word2vec word vector model. At last we calculate the score of every entity by the weighted matching method and get results according to the score ranking. After the experiment, the method get the correct rate of 63.2%, which has good applicability, and to a certain extent, it reduces the retrieval failure rate due to the query of the spoken language and diversification.
机译：针对给定查询，针对给定集合中符合描述事实的实体进行搜索，针对此目标，本文提出了一种基于分类和语义扩展的匹配方法。该算法首先将查询字符串分为三类，然后提取不同类别查询词的关键词。然后根据word2vec词向量模型扩展关键字以获取匹配的词集。最后，通过加权匹配的方法计算出每个实体的得分，并根据得分排名得出结果。经过实验，该方法的正确率达到63.2％，具有良好的适用性，在一定程度上降低了由于口语查询和多样化造成的检索失败率。

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  • 来源
  • 会议地点 Kunming(CN)
  • 作者

    Teng Wang; Xueqiang Lv; Xun Ma; Pengyan Sun; Zhian Dong; Jianshe Zhou;

  • 作者单位

    Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing, China;

    Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing, China;

    Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing, China;

    Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing, China;

    Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing, China;

    Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, China;

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

    Entity search; Word2vec; Precise matching; Similarity;

    机译：实体搜索； Word2vec;精确匹配；相似;

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