Robotics & Machine Learning Daily News2024,Issue(Sep.2) :108-108.

Findings from Henan University in the Area of Intelligent Systems Described (Seg mentation-aware Relational Graph Convolutional Network With Multi-layer Crf for Nested Named Entity Recognition)

Robotics & Machine Learning Daily News2024,Issue(Sep.2) :108-108.

Findings from Henan University in the Area of Intelligent Systems Described (Seg mentation-aware Relational Graph Convolutional Network With Multi-layer Crf for Nested Named Entity Recognition)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - In telligent Systems have been presented. Accordingto news originating from Kaifen g, People’s Republic of China, by NewsRx correspondents, researchstated, “Named Entity Recognition (NER) is fundamental in natural language processing, involvi ng identifyingentity spans and types within a sentence. Nested NER contains oth er entities, which pose a significantchallenge, especially pronounced in the do main of medical-named entities due to intricate nesting patternsinherent in med ical terminology.”

Key words

Kaifeng/People’s Republic of China/Asi a/Intelligent Systems/Emerging Technologies/Machine Learning/Named Entity Re cognition/Henan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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