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Updated: Jan 17, 2026

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MINIGE-MNER:一个由基因编辑启发的多阶段交互网络,用于多式联络命名实体识别

Bo Kong1, Shengquan Liu1, Liruizhi Jia1

  • 1School of Computer Science and Technology, Xinjiang University, Urumqi, 830046, China; Key Laboratory of Multilingual Information Technology in Xinjiang Uygur Autonomous Region, Urumqi, 830046, China.

Neural networks : the official journal of the International Neural Network Society
|September 18, 2025
PubMed
概括

本研究介绍了MINIGE-MNER,这是一种多模拟命名实体识别 (MNER) 的新方法,可以有效处理模式噪声和语义不匹配. 该方法通过平衡信息过和跨模式对齐来实现最先进的结果.

关键词:
交叉模式的融合技术模态噪声处理方式多模式学习是多模式学习.多模式命名实体识别多模式命名实体识别语义对齐 有意义对齐

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