SLNER: Chinese Few-Shot Named Entity Recognition with Enhanced Span and Label Semantics

SLNER: Chinese Few-Shot Named Entity Recognition with Enhanced Span and Label Semantics

Few-shot named entity recognition requires sufficient prior knowledge to transfer valuable knowledge to the target domain with only a few labeled examples. Existing Chinese few-shot named entity recognition methods suffer from inadequate prior knowledge and limitations in feature representation. In...

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Bibliographic Details
Main Authors: Zhe Ren, Xizhong Qin, Wensheng Ran
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
natural language processing
Chinese named entity recognition
few-shot learning
feature representation
label semantics
neural network
Online Access:https://www.mdpi.com/2076-3417/13/15/8609

Internet

https://www.mdpi.com/2076-3417/13/15/8609

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