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)

Robotics & Machine Learning Daily News2024，Issue(Apr.17) ：16-16.

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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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Abstract

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.”

Key words

Beijing/People’s Republic of China/Asia/Intelligent Systems/Emerging Technologies/Machine Learning/Named Entity Re cognition/Beijing University of Civil Engineering and Architecture

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出版年

2024

Robotics & Machine Learning Daily News

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