The process of de-identifying protected health information (PHI) from unstructured medical notes is often essential when working with patient-level documents, such as physician notes. Using current state-of-the-art techniques, automated de-identification...
Data extraction from text is a day-to-day task for specialists working in verticals such as Healthcare, Finance, or Legal. NLP models are now a well-established solution with proven utility in...
According to the World Health Organization, cancer is the leading cause of death worldwide, accounting for nearly 10 million deaths in 2020. A lot of efforts are made every day...
Zero-Shot Learning (ZSL) is a new paradigm that has gained massive popularity recently due to its potential of reducing data annotations and high generalisability. In the pursuit of bringing product-ready...
This webinar teaches you how to leverage the human-level text generation capabilities of Large Transformer models to increase the accuracy of most NLP classifiers for Medicine, Finance, and Legal datasets...
Demos
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