Woa, thanks, you make me blush :) All the information that IBM have released about Watson (the original system that won that Jeopardy game) was spread around a

Woa, thanks, you make me blush :) All the information that IBM have released about Watson (the original system that won that Jeopardy game) was spread around a dozen reports published in the "IBM Journal of Research and Deelopment". I have the lot on a drive half a continent away, otherwise I'm sure it would be OK to share them. You might be able to find them online, but a very quick look didn't locate them for me. Online versions might be accessible from a university library, although I don't even remember their titles. In short, from memory, Watson started with a shallow parse that was then used to fill in good old frames. If I remember correctly those were then queried by the Prolog rulebase. The shallow parse was by means of a dependency grammar trained from an annotated corpus (so not a language model, say). That's the very high level of it- I read all that back in 2014 or so and I only half-understood it. I seem to remember that one of the reports made a big to-do about a shallow parse being sufficient to solve a good chunk of information retrieval problems.