An - Nuh.
But it  what I like about it is it 's very concrete. OK ? We  we have a  we know what the outcomes are gonna be , and we have some  some data that 's loose , we can use our own intuition , and see how hard it is , and , importantly , what intermediate nodes we think we need. So it  if it turns out that just , thinking about the problem , you come up with things you really need to  You know , this is the kind of thing that is , you know , an intermediate little piece in your belief - net. That 'd be really interesting.
Mm - hmm.
And it  and it may serve as a platform for a person , maybe me , or whoever , who is interested in doing some linguistic analysis. I mean , w we have the For - FrameNet group here , and we can see what they have found out about those concepts already , that are contained in the data , um , you know , to come up with a nice little set of features and um , maybe even means of s uh , extracting them. And  and that altogether could also be  uh , become a nice paper that 's going to be published somewhere , if we sit down and write it. And um  When you said JavaBayes belief - net you were talking about ones that run on coffee ? or that are in the program language Java ?