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The challenge of Table Mining of clinical documents

Today, much of the data in the clinical space is digital and resides in a variety of sources.

In this lecture, we’ll explore the challenges this creates for accurate comprehension of clinical data.

The discussion will focus on processing, understanding, and presenting data in tables, the most widely used tool for regulatory submissions.

Using Spark NLP to build a drug discovery knowledge graph for COVID-19

In this talk, we will cover how to extract entities from text using both rule-based and deep learning techniques, and build a...