PNER: Applying the Pipeline Method to Resolve Nested Issues in Named Entity Recognition

Named entity recognition (NER) in natural language processing encompasses three primary types: flat, nested, and discontinuous. While the flat type often garners attention from researchers, nested NER poses a significant challenge. Current approaches to addressing nested NER involve sequence labelin...

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主要な著者:	Hongjian Yang, Qinghao Zhang, Hyuk-Chul Kwon
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-02-01
シリーズ:	Applied Sciences
主題:	nested entity named entity recognition NER sequence labeling text classification merged label
オンライン･アクセス:	https://www.mdpi.com/2076-3417/14/5/1717
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