Long short-term memory RNN for biomedical named entity recognition.
Journal:
BMC bioinformatics
Published Date:
Oct 30, 2017
Abstract
BACKGROUND: Biomedical named entity recognition(BNER) is a crucial initial step of information extraction in biomedical domain. The task is typically modeled as a sequence labeling problem. Various machine learning algorithms, such as Conditional Random Fields (CRFs), have been successfully used for this task. However, these state-of-the-art BNER systems largely depend on hand-crafted features.