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From Natural Language to Bayesian Networks (and back again)

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FOSW02 - Bayesian networks and argumentation in evidence analysis

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.  

This talk is part of the Isaac Newton Institute Seminar Series series.

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