KGNER: Improving Chinese Named Entity Recognition by BERT Infused with the Knowledge Graph

Recently, the lexicon method has been proven to be effective for named entity recognition (NER). However, most existing lexicon-based methods cannot fully utilize common-sense knowledge in the knowledge graph. For example, the word embeddings pretrained by Word2vector or Glove lack better contextual...

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Bibliografische gegevens

Hoofdauteurs:	Weiwei Hu, Liang He, Hanhan Ma, Kai Wang, Jingfeng Xiao
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2022-07-01
Reeks:	Applied Sciences
Onderwerpen:	named-entity recognition knowledge graph conditional random field
Online toegang:	https://www.mdpi.com/2076-3417/12/15/7702
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