基于依赖语法规则的人际关系抽取本体

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics Pub Date : 2017-08-23 DOI:10.1145/3106426.3109050

Long He, Likun Qiu

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引用次数: 1

摘要

提出了一种基于依赖语法规则的非结构化文本字符关系提取方法。首先，我们以三国文字为研究对象，选取含有目标关系的文章，构建了一个1000句的语料库。其次，我们对语料库进行了分析，并开发了一套用于关系抽取的依赖语法规则。最后，我们提出了一个系统，使计算机能够自动提取和识别字符关系。

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Ontology of human relation extraction based on dependency syntax rules

This paper proposed a novel scheme for extracting character relation from unstructured text based on dependency grammar rules. First of all, we took the Three Kingdoms characters as our research object, then selected articles containing target relationships and thus constructed a corpus consisting of 1000 sentences. Secondly, We analyzed the corpus and developed a set of dependent grammar rules for relation extraction. Finally, we proposed a system, which makes it possible for computers to automatically extract and identify character relationships.

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Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics

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