A sui generis QA approach using RoBERTa for adverse drug event identification

A sui generis QA approach using RoBERTa for adverse drug event identification

Background: Extraction of adverse drug events from biomedical literature and other textual data is an important component to monitor drug-safety and this has attracted attention of many researchers in healthcare. Existing works are more pivoted around entity-relation extraction using bidirectional l...

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Bibliographic Details
Main Authors: Jain, H. (Author), Mishra, S. (Author), Raj, N. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Adverse drug event
adverse drug reaction
Background extraction
Biomedical literature
Drug safety
Drug-Related Side Effects and Adverse Reactions
End to end
Entity relation extractions
Entity-relation extraction
Event identification
Extraction
Health care
Healthcare
human
Humans
Long short-term memory
Natural language processing systems
Neural Networks, Computer
Pipelines
Question Answering
Question-answering
RoBERTa
Textual data
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Internet

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