LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation

LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation

The rapid growth of biomedical literature poses a significant challenge for curation and interpretation. This has become more evident during the COVID-19 pandemic. LitCovid, a literature database of COVID-19 related papers in PubMed, has accumulated over 180,000 articles with millions of accesses. A...

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Bibliographic Details
Main Authors: Allot, A. (Author), Chen, Q. (Author), Du, J. (Author), Lu, Z. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Annotation
Annotations
BERT
Biological system modeling
Biological systems
Biomedical text mining
Biomedical text minings
Bit error rate
Bit-error rate
Classification (of information)
COVID-19
Curation
Data mining
Job analysis
Multi-label classification
Task analysis
Text mining
Transformer
Transformers
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