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Advancing the State of the Art in Applied Natural Language Processing

Over the past five years, two trends combined to turn natural language processing (NLP) from a niche technology to a foundational component of Healthcare IT.

One is the digitization of electronic medical records, clinical trial documents, and the explosion of digital health initiatives.

The second is advancement in deep learning and transfer learning, making many practical use cases viable for the first time ever.

In this session, David Talby shares the current state of the art for applied NLP in healthcare and life science – including highlights from recent case studies, papers, and benchmarks that put these developments into practice.

Spark NLP 3: Massive Speedups & the Latest Compute Platforms 

Spark NLP 3.0 is here, combining a set of major under-the-hood optimizations and upgrades that give the open-source community the most scalable...