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Retrieval of Snippets of Web Pages Converted to Plain Text. More Questions Than Answers

机译:检索网页摘要转换为纯文本。问题多于答案

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摘要

This year's WebCLEF task was to retrieve snippets and pieces from documents on various topics. The extraction and the choice of the most widely used snippets can be carried out using various methods. However, the way in which web pages are usually converted to plain text introduces a series of problems that cause inefficiency in the retrieval. Duplicate information, absolutely irrelevants snippets or even meaningless, are some of these problems. Also, it is intended in this paper to explore the real impact of the use of several languages in obtaining relevant fragments.
机译:今年的WebCLEF任务是从各种主题的文档中检索片段和片段。可以使用各种方法来提取和选择使用最广泛的代码段。但是,通常将网页转换为纯文本的方式引入了一系列问题,这些问题导致检索效率低下。这些问题中有些是重复的信息,绝对不相关的摘录甚至是毫无意义的。此外,本文还打算探讨使用几种语言获得相关片段的实际影响。

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