Consistency enhancement of model prediction on document-level named entity recognition.

ABSTRACT:

Summary

Biomedical named entity recognition (NER) plays a crucial role in extracting information from documents in biomedical applications. However, many of these applications require NER models to operate at a document level, rather than just a sentence level. This presents a challenge, as the extension from a sentence model to a document model is not always straightforward. Despite the existence of document NER models that are able to make consistent predictions, they still fall short of meeting the expectations of researchers and practitioners in the field. To address this issue, we have undertaken an investigation into the underlying causes of inconsistent predictions. Our research has led us to believe that the use of adjectives and prepositions within entities may be contribu

SUBMITTER: Jeong M 

PROVIDER: S-EPMC10272703 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature