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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מידע ביבליוגרפי

Principais autores:	Weiwei Hu, Liang He, Hanhan Ma, Kai Wang, Jingfeng Xiao
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2022-07-01
סדרה:	Applied Sciences
נושאים:	named-entity recognition knowledge graph conditional random field
גישה מקוונת:	https://www.mdpi.com/2076-3417/12/15/7702
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!