首页> 外国专利> SEMANTIC SYNTAX TREE KERNEL-BASED PROCESSING SYSTEM AND METHOD FOR AUTOMATICALLY EXTRACTING SEMANTIC CORRELATIONS BETWEEN SCIENTIFIC AND TECHNOLOGICAL CORE ENTITIES

SEMANTIC SYNTAX TREE KERNEL-BASED PROCESSING SYSTEM AND METHOD FOR AUTOMATICALLY EXTRACTING SEMANTIC CORRELATIONS BETWEEN SCIENTIFIC AND TECHNOLOGICAL CORE ENTITIES

机译:基于语义语法树核的自动提取科学技术核心实体之间的语义关联的处理系统和方法

摘要

The present disclosure relates to a semantic parse tree kernel-based processing system and method of automatically extracting a semantic correlation between scientific and technological core entities. The method includes parsing syntaxes, part-of-speech information, and base chunk information on input sentences; extracting a relation of the syntaxes of the input sentences by performing a parse tree pruning based on the parsed syntaxes, part-of-speech information, and base chunk information; and extracting a similarity of the syntaxes of the input sentences by calculating a syntactic similarity, a lexical semantic similarity, and a semantic parse tree kernel of the syntaxes of the input sentences based on the extracted relations of the syntaxes of the input sentences, thereby more accurately calculating the similarity between two sentences.
机译:本公开涉及基于语义解析树内核的处理系统和自动提取科技核心实体之间的语义相关性的方法。该方法包括解析语法,词性信息和基于输入句子的基本组块信息。通过基于解析的语法,词性信息和基本组块信息执行解析树修剪来提取输入句子的语法的关系;并根据所提取的输入句的语法关系,通过计算输入句语法的句法相似度,词汇语义相似度和语义解析树核,来提取输入句子的语法相似度,准确计算两个句子之间的相似度。

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