Improving deep learning method for biomedical named entity recognition by using entity definition information

Improving deep learning method for biomedical named entity recognition by using entity definition information

Background: Biomedical named entity recognition (NER) is a fundamental task of biomedical text mining that finds the boundaries of entity mentions in biomedical text and determines their entity type. To accelerate the development of biomedical NER techniques in Spanish, the PharmaCoNER organizers la...

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Bibliographic Details
Main Authors: Chen, Q. (Author), Chen, S. (Author), Tang, B. (Author), Wang, X. (Author), Xiong, Y. (Author), Yan, J. (Author), Zhou, Y. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
article
Biomedical named entity recognition
Character recognition
Data mining
deep learning
Deep learning
Deep Learning
Entity definition information
Entity-types
F1 scores
Information use
Learning methods
Machine reading comprehension
Natural language processing systems
One-pass methods
Query processing
reading
Reading comprehension
recall
Span-level one-pass method
State of the art
Text processing
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