Mm - hmm. Mm - hmm.
And then , uh The processing of that , both on the input end , recognizing that certain words in a language talk about containers or goals , et cetera , and on the output end , given this kind of information , you can then uh make decisions about what actions to take. Provides , they claim , a very powerful , general notion of deep semantics. So that 's what we 're really doing.
Mm - hmm.
And Nancy is going to  Her talk is going to be not about using this in applications , but about modeling how children might learn this kind of uh deep semantic grammar.