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Natural Language Processing ()

NLP Insider LIVE: Building Models for Biomedical Language Understanding

Welcome to another NLP Insider Live Show.  Today, I am very exited to welcome Natalia Vassilieva, Director of Product at Celebras Systems. Celebras Systems is a computer system company dedicated...

Building Real-World Healthcare AI Projects from Concept to Production

In this Webinar, Juan Martinez from John Snow Labs and Ken Puffer from ePlus will share lessons learned from recent AI, ML, and NLP projects that have been successfully built...

An easier API for creating custom #NLP graphs with Spark NLP for Healthcare 3.5.2

TFGraphBuilder annotator to create graphs for training NER, Assertion, Relation Extraction, and Generic Classifier models Default TF graphs added for AssertionDLApproach to let users train models without custom graphs New...

Accurate Table Extraction from Documents & Images with Spark OCR

Extracting data formatted as a table (tabular data) is a common task — whether you’re analyzing financial statements, academic research papers, or clinical trial documentation. Table-based information varies heavily in...

Rule Based and Pattern Matching for Entity Recognition in Spark NLP

Finding patterns and matching strategies are well-known NLP procedures to extract information from text. Spark NLP library has two annotators that can use these techniques to extract relevant information or...