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Neural Entity Recognition with Gazetteer based Fusion
[article]
2021
arXiv
pre-print
Incorporating external knowledge into Named Entity Recognition (NER) systems has been widely studied in the generic domain. In this paper, we focus on clinical domain where only limited data is accessible and interpretability is important. Recent advancement in technology and the acceleration of clinical trials has resulted in the discovery of new drugs, procedures as well as medical conditions. These factors motivate towards building robust zero-shot NER systems which can quickly adapt to new
arXiv:2105.13225v1
fatcat:34nlcprfinbjrkm675l7a2po3a