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AUTOMATIC TEXT SKIMMING FOR QUESTION ANSWERING WITHIN SINGLE DOCUMENTS FOR BLIND AND DYSLEXIC INDIVIDUALS

机译:自动文本跳过功能,可在单文档中为盲人和阅读障碍者提供单据答疑

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This paper describes a system to be used by blind and dyslexic individuals for automatically skimming a document. The system will take a question and a single document and return information similar to that which would be gleaned by visually skimming through the document. While the system will take advantage of techniques currently used in open-domain question answering systems for question analysis, the system differs from open-domain QA systems in that answers must be located in single documents and in that it returns a general topology of the document's content. Thus this system must include novel approaches. We will incorporate results of word clustering analyses into the system. It is hoped that word clusters will allow the system to more closely capture the information garnered from visual skimming. To ensure that the appropriate word clusters are adopted and to learn more about what information individuals gather from skimming through a document, the system will also use information gathered from tracking eye gaze dunng text skimming experiments. Ultimately, the system will return a series of links that will both serve to guide users to text that is related to the question's answer and will provide a general roadmap to the document.
机译:本文介绍了一种系统,供盲人和阅读障碍者用于自动浏览文档。系统将提取一个问题和一个文档,并返回类似于通过视觉浏览文档而收集的信息。虽然系统将利用开放域问答系统中当前使用的技术进行问题分析,但该系统与开放域质量保证系统的不同之处在于答案必须位于单个文档中,并且它返回文档的一般拓扑内容。因此,该系统必须包括新颖的方法。我们将把词聚类分析的结果合并到系统中。希望词簇可以使系统更紧密地捕获从视觉撇取中获得的信息。为了确保采用适当的词簇,并更多地了解个人从文档浏览中收集的信息,系统还将使用从文本浏览实验中跟踪眼睛凝视所收集的信息。最终,系统将返回一系列链接,这些链接既可以指导用户使用与问题的答案相关的文本,还可以提供文档的总体路线图。

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