Text is everywhere and growing rapidly, yet current natural language processing only scratches the surface for extracting knowledge. What if there was a way for machines to more completely model the meaning of a piece of text? This talk will share a new approach to natural language understanding, already in active commercial use for the analysis of scientific articles.