Semantic matching method and system for knowledge retrieval and question answering of power transformer
A power transformer and knowledge retrieval technology, which is applied in semantic analysis, semantic tool creation, neural learning methods, etc., can solve problems that affect the efficiency of basic-level inspection personnel, and it is difficult to accurately identify the retrieval/question semantics of basic-level inspection personnel. , to achieve the effect of improving retrieval/question and answer efficiency and transport inspection efficiency, improving transport inspection efficiency, and facilitating application
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[0160] Aiming at the problem of insufficient corpus data in the field of small samples of power transformers, the present invention proposes a rapid corpus enhancement mechanism based on knowledge graph KG+semantic templates. Based on the idea of slots, a slot-based question template is designed to express user input semantics.
[0161] The question template is composed of the sentence input by the user and the semantic annotation of the sentence, for example, the question template "Which factory [ / C manufacturer] manufactures the #1 main transformer [ / C transformer] of [ / R relationship]", " #1 What is the voltage [attribute, named "voltage level"] of the main transformer [ / equipment type]", where the "【】" part is the semantic labeling part, which is divided into three categories:
[0162] Concept, starting with the letter C, followed by the specific concept name.
[0163] Attributes, starting with the letter P, followed by specific attribute names.
[0164] Relationships,...
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