Converting tables in scanned documents & images into structured data Motivation Extracting data formatted as a table is a common task - whether you’re analyzing financial statements, academic research papers,...
Spark NLP for Healthcare 3.1 improves the accuracy, functionality, and ease of use of the library’s data de-identification capabilities, whose are crutial for natural language processing in healthcare. All improvements...
NLU 3 is the most visually appealing release to date, with the integration of the Spark-NLP-Display library and visualizations for dependency trees, entity resolution, entity assertion, the relationship between entities,...
The release of Spark NLP for Healthcare 3.1 brings significant speed and accuracy improvements for the task of entity resolution, also known as entity linking: the ability to map a...
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