F: But the other half of the problem is How would you get that kind of information from the parsed input ?
F: So , um
F: So what you might try to do is just build more templates , saying uh
F: we 're trying to build a templ
F: you know build a template that w uh somehow would capture the fact that he wants to take a picture .
D: Mmm .
F: OK ?
F: And and we could you could do this .
F: And it 's a small enough domain that probably you , you know D: Mmm .
F: OK .
F: You could do this .
F: But uh from our point of view this is also a research project
F: and there are a couple of people not here for various reasons who are doing doctoral dissertations on this ,
A: Mm - hmm .
F: and the idea that we 're really after is a very deep semantics based on cognitive linguistics
F: and the notion that there are a relatively small number of primitive conceptual schemas that characterize a lot of activity .
F: So a typical one in this formulation is a container .
F: So this is a static thing .
F: And the notion is that all sorts of physical situations are characterized in terms of containers .
F: Going in and out the portals and con
D: Mmm .
F: OK .
F: But also , importantly for Lakoff and these guys is all sorts of metaphorical things are also characterized this way .
F: You get in trouble and you know et cetera
D: Mmm .
F: and so s
F: So , what we 're really trying to do is to map from the discourse to the conceptual semantics level .
F: And from there to the appropriate decisions .
F: So another one of these primitive , what are called " image schemas " , is uh goal seeking .
A: Mm - hmm .
F: So this a notion of a source , path , goal , trajector , possibly obstacles .
A: Mm - hmm .
F: And the idea is this is another conceptual primitive .
F: And that all sorts of things , particularly in the tourist domain , can be represented in terms of uh source , path and goal .
A: Mm - hmm .
F: So the idea would be could we build an analyser that would take an utterance
F: and say " Aha !
F: th this utterance is talking about an attempt to reach a goal .
F: The goal is this ,
F: the pers the , uh traveller is that ,
F: uh
F: the sor w where we are at now is is this ,
F: they 've mentioned possible obstacles , et cetera . "
F: So th the and this is an again attempt to get very wide coverage .
F: So if you can do this , then the notion would be that across a very large range of domains , you could use this deep conceptual basis as the interface .
A: Mm - hmm .
A: Mm - hmm .
F: And then ,
F: uh
F: The processing of that , both on the input end , recognizing that certain words in a language talk about containers or goals , et cetera ,
F: and on the output end , given this kind of information , you can then uh make decisions about what actions to take .
F: Provides , they claim , a very powerful , general notion of deep semantics .
F: So that 's what we 're really doing .
A: Mm - hmm .
F: And
F: Nancy is going to F: 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 .
A: Mm - hmm .
A: Yep , yep .
A: And how do you envision um the the um this deep semantic to be worked with .
A: Would it be highly ambiguous if
A: and then there would be another module that takes that um highly underspecified deep semantic construction
A: and map it onto the current context to find out what the person really was talking about in that context .
F: Well that 's that 's that 's where the belief - net comes in .
A: or or a F: So th the idea is ,
F: let 's take this business about going to the Powder - Tower .
A: Mm - hmm .
F: So part of what you 'll get out of this will be the fact tha w
F: if it works right ,
F: OK , that this is an agent that wants to go to this place
F: and that 's their goal
F: and there will be additional situational information .
A: Mm - hmm .
A: Oh , OK .
F: Uh , OK ,
A: th
F: part of it comes from the ontology .
F: The tower is this kind of object .
A: Mm - hmm .
A: Yeah , OK .
F: Part of it comes from the user model .
A: Mm - hmm .
F: And the idea of the belief - net is it combines the information from the dialogue which comes across in this general way ,
A: Mm - hmm .
F: you know this is a this is a goal seeking behavior , along with specific information from the ontology about the kinds of objects involved
A: Yeah
A: OK ,
A: Yeah ,
A: yep yep yep yep
F: and about the situation about " Is it raining ? "
F: I don't know .
F: Whatever it is .
F: And so that 's the belief - net that we 've laid out .
A: Mm - hmm .
F: And so th the coupling to the situation comes in this model from , at th at th at the belief - net , combining evidence from the dialogue with the ontology with the situation .
A: Yeah .
D: Hmm .
F: But Nancy isn't gonna talk about that ,
A: Yeah ,
F: just about the um
A: oh yeah ,
A: I see ,
A: yeah yeah , really .
B: First steps .
F: Right .
F: The the construction grammar .
B: And she 's gonna start
B: in a minute .
F: In a minute .
D: Ah , OK .
F: OK .
G: Is it i in ,
G: then , your place , in five five - A ?
A: Alright .