Martin Andrews – Lessons Learned: Real life NLP
Channel: Hasgeek TV
Date: 2016-07-31

Building a practical Natural Language Processing system goes far beyond installing an open source toolkit. I will give an overview of some of the components required, and obstacles that have to be overcome for a system that extracts entities and relationships from full-text documents.

* Description of the real-life problem, and the ‘theoretical approach’
* Theory vs Practice - when the 80/20 rule doesn’t work
* Getting a feel for Machine Learning in practice (and saving the day?)

Martin Andrews has a PhD in Machine Learning, and has been an Open Source developer since 1999. After a career in finance (based in London and New York), he decided to follow his original passion, and now works on Machine Learning / Artificial Intelligence full-time.

This talk was recorded at The Fifth Elephant 2016, India's premier data analytics conference.