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Annotation Lab ()

John Snow Labs is Announcing the New Partner Integrations in Databricks Partner Connect

We are excited to announce new integrations in Databricks Partner Connect. Databricks expanding partnerships enable users to integrate the freshest data into the Databricks Lakehouse Platform, use pre-built deep learning...

John Snow Labs Releases Spark NLP 4.0, Delivering 8x Speedups, Native M1 Support, and 1,000+ New Models to the Most Used NLP Library in the Enterprise

Modern Extractive Question Answering Annotators, Notable Performance Improvements, and State-of-the-Art Models Define Spark NLP 4.0 John Snow Labs, the Healthcare AI and NLP company and developer of the Spark NLP...

Text classification and named entity recognition with BertForTokenClassification & BertForSequenceClassification

Recognizing entities is a fundamental step towards understanding unstructured data in documents. Spark NLP includes state-of-the-art BERT-based models for token classification and sequence classification. This session will cover the background...

Confidence score for Predictions, Benchmark Data Available in ModelsHub page and IAA for Visual NER Projects in the Annotation Lab

Annotation Lab v3.3.0 brings a highly requested new feature for displaying the confidence scores for NER preannotations as well as the ability to filter preannotations by confidence. Also, benchmarking data...

Zero Shot Learning for Semantic Relation Extraction from Unstructured Text

Relation Extraction, which is one of the most important tasks of NLP applications in healthcare, is an expensive process to find competent people who can label the data and label...