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May, 2023
NER-to-MRC: 命名实体识别完全作为机器阅读理解解决方案
NER-to-MRC: Named-Entity Recognition Completely Solving as Machine Reading Comprehension
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Yuxiang Zhang, Junjie Wang, Xinyu Zhu, Tetsuya Sakai, Hayato Yamana
TL;DR
利用机器阅读理解将命名实体识别作为一个解决问题,能够很好的解决大量额外数据收集和预训练的高成本挑战,展示了出色的性能提高并实现了最新的成果。
Abstract
named-entity recognition
(NER) detects texts with predefined semantic labels and is an essential building block for
natural language processing
(NLP). Notably, recent NER research focuses on utilizing massive ext
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