skip to content

From Natural Language to Bayesian Networks (and back again)

Presented by: 
Floris Bex Universiteit Utrecht
Wednesday 28th September 2016 - 10:15 to 11:00
INI Seminar Room 1
Decision makers and analysts often use informal, linguistic concepts when they talk about a case: they tell the story that explains the evidence, or argue against a particular interpretation of the evidence. On the other hand, mathematicians and logicians present formal frameworks to precisely capture and support reasoning about evidence. 

In this talk, I will show how different Artificial Intelligence techniques can be used to close the gap between these two extremes - messy, informal natural language and specific, well-defined formalisms such as Bayesian Networks.  

The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons