Medical Named Entity Recognition Fusing Part-of-Speech and Stroke Features

Medical Named Entity Recognition Fusing Part-of-Speech and Stroke Features

It is highly significant from a research standpoint and a valuable practice to identify diseases, symptoms, drugs, examinations, and other medical entities in medical text data to support knowledge maps, question and answer systems, and other downstream tasks that can provide the public with knowled...

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Bibliographic Details
Main Authors: Fen Yi, Hong Liu, You Wang, Sheng Wu, Cheng Sun, Peng Feng, Jin Zhang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
entity recognition
BERT
BiLSTM
multiple features
CRF
Online Access:https://www.mdpi.com/2076-3417/13/15/8913

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