首页|Study Data from Beijing University of Civil Engineering and Architecture Update Understanding of Intelligent Systems (Enhanced Chinese Named Entity Recognition With Multi-granularity Bert Adapter and Efficient Global Pointer)
Study Data from Beijing University of Civil Engineering and Architecture Update Understanding of Intelligent Systems (Enhanced Chinese Named Entity Recognition With Multi-granularity Bert Adapter and Efficient Global Pointer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning - Intelligent Systems. Accordingto news originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, research stated,“Name d Entity Recognition (NER) plays a crucial role in the field of Natural Language Processing, holdingsignificant value in applications such as information extra ction, knowledge graphs, and question-answeringsystems. However, Chinese NER fa ces challenges such as semantic complexity, uncertain entity boundaries,and nes ted structures.”
BeijingPeople’s Republic of ChinaAsiaIntelligent SystemsEmerging TechnologiesMachine LearningNamed Entity Re cognitionBeijing University of Civil Engineering and Architecture
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