Boundary Enhanced Classification Model for Nested Named Entity Recognition

Entity nesting is a common phenomenon in natural language.Improving the accuracy of nested Named Entity Recognition(NER) plays an important role in various Natural Language Processing(NLP) tasks.Addressing the inaccuracy of existing nested NER methods for identifying entity boundaries and their inef...

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Bibliografiske detaljer

Hovedforfatter:	LIAN Yimou, ZHANG Yingjun, XIE Binhong
Format:	Artigo
Sprog:	Inglês
Udgivet:	Editorial Office of Computer Engineering 2022-08-01
Serier:	Jisuanji gongcheng
Fag:	nested named entity recognition(ner)|entity representation|attention mechanism|boundary|neural network
Online adgang:	https://www.ecice06.com/fileup/1000-3428/PDF/20220839.pdf
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