Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks.
Journal:
BMC bioinformatics
Published Date:
Dec 2, 2019
Abstract
BACKGROUND: In recent years, deep learning methods have been applied to many natural language processing tasks to achieve state-of-the-art performance. However, in the biomedical domain, they have not out-performed supervised word sense disambiguation (WSD) methods based on support vector machines or random forests, possibly due to inherent similarities of medical word senses.