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Element Retrieval Using A Passage Retrieval Approach

机译:使用通道检索方法进行元素检索

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摘要

Element and passage retrieval systems are able to extract and rank parts of documents and return them to the user rather than the whole document. Element retrieval is used to search XML documents and identify relevant XML elements, while passage retrieval is used to identify relevant passages. This paper reports a series of experiments on element retrieval, using a general passage retrieval algorithm. Firstly, an XML document is divided into overlapping or non-overlapping fixed size windows (passages), then the relevant passages which contain query terms are found. Given the position of a passage in the XML document, the smallest element which contains this passage is found. The experiments were conducted with the INEX 2005 ad hoc test collection and evaluation tool. Two passage extraction methods, three weight functions and various window sizes were tested. A comparison with element retrieval systems was also conducted The experimental results show that a robust passage retrieval algorithm can yield an acceptable level of performance in XML element retrieval.
机译:元素和段落检索系统能够提取文档的一部分并将其排序,然后将其返回给用户,而不是整个文档。元素检索用于搜索XML文档并标识相关的XML元素,而段落检索则用于标识相关的段落。本文报告了一系列使用通用段落检索算法进行元素检索的实验。首先,将XML文档分为重叠的或不重叠的固定大小窗口(段落),然后找到包含查询词的相关段落。给定段落在XML文档中的位置,找到包含该段落的最小元素。实验使用INEX 2005临时测试收集和评估工具进行。测试了两种通道提取方法,三种权函数和各种窗口大小。还与元素检索系统进行了比较。实验结果表明,健壮的段落检索算法可以在XML元素检索中产生可接受的性能水平。

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