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Collaborative Healthcare NLP: Customisable NLP platforms for health and related research

For many years, the NLP healthcare application development are driven by NLP engineers. The engineers-centred healthcare NLP unintentionally creates barriers among healthcare workers and slows the deployment of NLP in health and related research.

These barriers include:

1) barrier to access healthcare NLP applications;

2) barrier to applying custom data in the healthcare NLP applications;

3) barrier to customising requirements in the healthcare NLP applications.

In this talk, I will present the collaboration experiences between healthcare researchers when developing healthcare NLP applications. Especially the approaches to break down these barriers. I will demonstrate the latest developments of the GATE NLP platform and use cases in healthcare and related research (including the NHS text analytics platform).

Building Reproducible Evaluation Processes for Spark NLP Models

Healthcare organizations can face numerous challenges when developing high-quality machine learning models. Data is often noisy and unstructured, and developing successful models...