The Fifth Elephant 2016

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.

Outline

• 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?)

Requirements

None

Speaker bio

Martin 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.

Slides

http://redcatlabs.com/2016-07-29_FifthElephant-LessonsLearned/