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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Weiwei Hu, Liang He, Hanhan Ma, Kai Wang, Jingfeng Xiao
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2022-07-01
Sarja:	Applied Sciences
Aiheet:	named-entity recognition knowledge graph conditional random field
Linkit:	https://www.mdpi.com/2076-3417/12/15/7702
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