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Automatic titling of electronic documents with noun phrase extraction

机译:用名词短语提取自动标题电子文档

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Automatic titling (i.e. providing titles) is one of key domains of Web site accessibility. This paper provides an approach allowing the automatic titling of texts (e.g. emails, fora, etc.) relying on the morphosyntactic study of human written titles in a corpus of various texts. The method is developed in four stages: Corpus acquisition, candidate sentences determination for titling, noun phrase extraction in the candidate sentences, and finally, selecting a particular noun phrase to play the role of the text title (ChTitres approach). The method has been evaluated by ten users, and the satisfaction enquiry shows that the titles selected through this process are relevant.
机译:自动标题(即提供标题)是网站可访问性的关键域之一。本文提供了一种方法,允许依赖于各种文本语料库中的人为书面的语音型研究的文本(例如电子邮件,福卡等)的方法。该方法是在四个阶段开发的:语料库采集,候选句子的标题,名词短语提取在候选句子中,最后,选择特定的名词短语来播放文本标题(CHTITRES方法)的作用。该方法已被十个用户评估,满意查询表明通过该过程选择的标题是相关的。

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