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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 of human knowledge.

This talk will discuss the lessons learned applying NLP to create the Diffbot Knowledge Graph, the largest autonomous knowledge graph of the public web. Diffbot crawls, extracts, and integrates information from approximately 80 billion web pages automatically, serving over 400 enterprise customers.

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...