识别自由文本文档中感兴趣的相关信息

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2011-07-01 DOI:10.1109/ISI.2011.5984058

James R. Johnson, Anita Miller, L. Khan, B. Thuraisingham, Murat Kantarcioglu

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引用次数: 7

摘要

提出了一种在自由文本文档中查找感兴趣的信息，然后从其他自由文本文档中识别和呈现感兴趣的相关信息的方法。目标是在文档中找到感兴趣的特定相关项，无论文档是否属于同一类别。感兴趣的信息是根据扩展的实体短语及其本体映射来定义的。描述了需要最少训练的强大技术，用于扩展实体短语以包含复杂句子成分的属性;用于测量同名扩展实体短语的相关性;并通过本体推理检测相关的扩展实体短语。描述了一个具有代表性的数据集，并提供了针对地面真值的性能初步测量。

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Identification of related information of interest across free text documents

An approach is presented for finding information of interest in a free text document and then identifying and presenting related information of interest from other free text documents. The goal is to find specific related items of interest within documents whether the documents are of the same category or not. Information of interest is defined with respect to expanded entity phrases and their ontology mappings. Powerful techniques requiring minimal training are described for expanding an entity phrase to include attributes from components of a complex sentence; for measuring relatedness of same-name expanded entity phrases; and for detecting related expanded entity phrases through ontology inferences. A representative dataset is described and preliminary measurements of performance against ground truth are provided.

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Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics

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