Leveraging Part-of-Speech Tagging Features and a Novel Regularization Strategy for Chinese Medical Named Entity Recognition

Chinese Medical Named Entity Recognition (Chinese-MNER) aims to identify potential entities and their categories from the unstructured Chinese medical text. Existing methods for this task mainly incorporate the dictionary knowledge on the basis of traditional BiLSTM-CRF or BERT architecture. However...

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Bibliographische Detailangaben
Hauptverfasser: Miao Jiang, Xin Zhang, Chonghao Chen, Taihua Shao, Honghui Chen
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-04-01
Schriftenreihe:Mathematics
Schlagworte:
Chinese-MNER
BERT-BiLSTM-CRF
part-of-speech
regularization
Online Zugang:https://www.mdpi.com/2227-7390/10/9/1386
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