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QUESTION TRANSLATION SYSTEM USING DEPENDENCY PARSING TECHNIQUE AND SEMANTIC REPRESENTATION TECHNIQUE, AND METHOD THEREOF
QUESTION TRANSLATION SYSTEM USING DEPENDENCY PARSING TECHNIQUE AND SEMANTIC REPRESENTATION TECHNIQUE, AND METHOD THEREOF
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机译：使用依赖解析技术和语义表示技术的问题翻译系统及其方法
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摘要
The present invention relates to a question translation system using a dependency parsing technique and a semantic representation technique, to convert a question represented in natural language frequently used by people into an ontology query; and a method thereof. According to the present invention, the method comprises: a step (a) of constructing a grammar-meaning dictionary including a grammar-meaning, which is a pair formed with semantic parsing for a predetermined grammar pattern; a step (b) of understanding a grammatic relation of each element in a natural sentence of a natural query to form a tree structure, wherein the tree structure includes a node representing an element of the sentence and edges representing dependency between the elements; a step (c) of using a pattern of each node of the tree structure, and upper and lower nodes thereof as a grammar pattern to search for the corresponding grammar pattern in a grammar-meaning mapping dictionary so as to use searched meaning in node parsing; a step (d) of integrating a dependency parsing tree based on a combination rule, wherein the upper and lower nodes in the tree are set as first and second nodes, and semantic parsing of the first and second nodes are integrated when a second factor of a third factor in the semantic parsing of the first node has the same role as that of the second node; and a step (e) of generating a query when the meaning is integrated, wherein the query is generated by corresponding a first factor of integrated semantic parsing to a result of the query, corresponding a second factor to a structural condition of the query, and corresponding a fourth factor to a parameter filter of the query to combine the factors. Accordingly, a question represented in a natural language is converted into an ontology query, thereby being able to correctly extract knowledge represented in the natural sentence about the question.;COPYRIGHT KIPO 2018
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