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Document summarization based on topicality and specificity

机译:基于主题性和特异性的文档摘要

摘要

Topicality scores are determined for a number of phrasal expressions in documents. Phrasal expressions may be noun phrases, with or without corresponding prepositional phrases, subject-verb pairs, and verb-object pairs. The documents describe some topic or multiple topics. Techniques can be used to determined how the phrasal expression compares with the topic or topics being described in the documents. Specificities are determined for the phrasal expressions. Techniques may be used to determine whether phrasal expressions are more or less specific than other phrasal expressions. An order is determined for the phrasal expressions by using the topicality scores and the specificities. The order may be represented as a phrasal expression tree, for example. The phrasal expression tree may be displayed to a user, and the user can navigate through the phrasal expression tree, and therefore through the one or more documents.
机译:确定文档中许多短语表达的时事性得分。短语表达可以是名词短语,带有或不带有相应的介词短语,主语-动词对和动词-宾语对。这些文档描述了一个或多个主题。可以使用技术来确定短语表达与文档中描述的一个或多个主题的比较方式。确定短语表达的特异性。可以使用技术来确定短语表达是否比其他短语表达更具特异性。通过使用话题性得分和特异性来确定短语表达的顺序。例如,该顺序可以表示为短语表达树。短语表达树可以被显示给用户,并且用户可以浏览短语表达树,并因此浏览一个或多个文档。

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