首页|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)
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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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.”
KaifengPeople’s Republic of ChinaAsi aIntelligent SystemsEmerging TechnologiesMachine LearningNamed Entity Re cognitionHenan University
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