Neural architectures for named entity recognition and relation classi cation in biomedical and clinical texts

Abstract

The increasing number of biomedical and clinical texts such as research articles discharge summaries electronic health records and texts created by social network users is an immeasurable source of information The extracted information can be used for several applications e g construction of medical knowledge bases drug repurposing etc Extracting structured information from unstructured text is called information extraction IE and is considered as a higher level of natural language pro