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Content by Dominika Dominika

Medical NLP: Domain Expertise and Data Quality are Vital For Success

Medical NLP content extraction or relationship linking is extremely complex requiring advanced expertise and presents unique data quality challenges when trying to scale. Domain experts with advanced training, tooling expertise,...

Lessons Learned Applying NLP to Create a Web-Scale Knowledge Graph

High-quality Knowledge Graphs still mostly rely on structured data curated by humans. Such reliance on human curation is a major obstacle to the creation of a comprehensive, always-up-to-date knowledge graph...

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...

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 involves experimenting with numerous parameter configurations, datasets, and...

End-to-End No-Code Development of AI Models for Text and Images

AI models and pipelines for text and image processing are currently used in intelligent applications on all verticals, from Healthcare to Finance and Security. Up until now, they have been...