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Annotation Lab in Amazon Elastic Kubernetes Service (EKS)

The goal of this study is to run a series of performance tests to check the responsiveness of the Annotation Lab web application when handling big workloads, both in terms...

Visual NER Automated Preannotation and Training in the Annotation Lab

Annotation Lab v3.4.0 brings support for Visual NER Automated Preannotation and Model Training. Spark NLP and Spark NLP for Healthcare libraries are upgraded to version 4.0. Known security and bug...

PICO Classification – Using Spark NLP to improve PICO Element Identification

  The proliferation of healthcare data has contributed to the widespread usage of the PICO paradigm for creating specific clinical questions from RCT. PICO is a mnemonic that stands for:...

Serving Spark NLP via API: Spring and LightPipelines

Welcome to a follow-up article on the “Serving Spark NLP via API” series, showcasing how to serve SparkNLP using Spring, Swagger, and Java. Don’t forget to check the other articles...

State-of-the-Art Natural Language Processing with Apache Spark NLP

This session teaches how & why to use the open-source Spark NLP library. Spark NLP provides state-of-the-art accuracy, speed, and scalability for language understanding by delivering production-grade implementations of recent...