A Lightweight Framework for Medical Named Entity Recognition and Relation Extraction.
INTRODUCTION Clinical text in electronic health records contains valuable information for medical research. Named entity recognition (NER) and relation extraction (RE) are key tasks for structuring this information, but existing deep learning approaches are often computationally expensive. METHODS We develop a lightw...