Spark NLP for Healthcare comes with 600+ pretrained clinical pipelines & models out of the box and is consistently making 4–6x less error than Azure, AWS, and Google Cloud on...
With the increased investments and interest from a broader range of users, it’s encouraging to see how a highly regulated industry like healthcare is ushering in AI.
Transfer learning and deep learning unblocked new levels of accuracy for many medical natural language processing tasks. The session shares the current state-of-the-art accuracy on the most widely used healthcare...
Easy to use, scalable NLP framework that can leverage Spark. Introduction of BERT based Relation Extraction models. State-of-the-art performance on Named Entity Recognition and Relation Extraction. Reported SOTA performance of...