B-LBConA: a medical entity disambiguation model based on Bio-LinkBERT and context-aware mechanism.
Journal:
BMC bioinformatics
Published Date:
Mar 16, 2023
Abstract
BACKGROUND: The main task of medical entity disambiguation is to link mentions, such as diseases, drugs, or complications, to standard entities in the target knowledge base. To our knowledge, models based on Bidirectional Encoder Representations from Transformers (BERT) have achieved good results in this task. Unfortunately, these models only consider text in the current document, fail to capture dependencies with other documents, and lack sufficient mining of hidden information in contextual texts.