A sui generis QA approach using RoBERTa for adverse drug event identification.
Journal:
BMC bioinformatics
Published Date:
Oct 21, 2021
Abstract
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 long short term memory networks (Bi-LSTM) which does not attain the best feature representations.