Article

Improving Biomedical Named Entity Recognition with Label Re-correction and Knowledge Distillation

2020-12-15

Abstract excerpt

<h4>Background: </h4> Biomedical named entities recognition is one of the most essential tasks in biomedical information extraction. Previous studies suffer from inadequate annotation datasets, especially the limited knowledge contained in them. <h4>Methods: </h4>: To remedy the above issue, we propose a novel Chemical and Disease Named Entity Recognition (CDNER) framework with label re-correction and knowledge di...

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Literature Corpus work: 35f0de4b-929e-54bc-9671-c1b42aa7443d
DOI: 10.21203/rs.3.rs-125685/v1

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