MRC-BASED METHOD FOR EQUIPMENT FAULT NAMED ENTITY RECOGNITION
Named entity recognition plays a crucial role in analyzing equipment operation logs,not only enhancing the accuracy of fault detection but also providing strong support for the optimization of maintenance strategies.Given the professionalism and diversity of equipment operation logs,this paper proposes a fault entity recognition method based on machine reading comprehension.This method transformed specific entity categories into natural language queries and integrated entity category information into these queries,which effectively overcame the deficiencies of traditional methods in label semantic information and significantly improved the accuracy of entity boundary positioning.Experiments conducted on a dataset for equipment fault entity recognition show that this method excels in accurately identifying equipment fault entities,significantly outperforming existing baseline methods.
国家科技期刊平台
NSTL
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