B: Oh , yeah ,
B: and then of course as she does it she 'll she 'll learn @ @ .
B: So that 's great .
B: Um And also if she 's willing to take on the job of organizing all those subjects and stuff that would be wonderful .
D: Mmm .
B: And , uh she 's actually she 's going to graduate school in a kind of an experimental paradigm ,
B: so I think this is all just fine in terms of h her learning things she 's gonna need to know uh , to do her career .
D: Mmm .
B: So , I my guess is she 'll be r r quite happy to take on that job .
B: And , so D: Yep .
D: Yeah she she didn't explicitly state that
D: so .
B: Great .
D: And um I told her that we gonna um figure out a meeting time in the near future to refine the tasks and s look for the potential sources to find people .
D: She also agrees that you know if it 's all just gonna be students the data is gonna be less valuable because of that
D: so .
B: Well , as I say there is this s set of people next door , it 's not hard to
D: We 're already D: Yeah .
B: uh D: However , we may run into a problem with a reading task there .
D: And um , we 'll see .
B: Yeah .
B: We could talk to the people who run it and um see if they have a way that they could easily uh tell people that there 's a task , pays ten bucks or something ,
D: Mm - hmm .
D: Yeah .
B: but um you have to be comfortable reading relatively complicated stuff .
B: And and there 'll probably be self - selection to some extent .
D: Mmm .
D: Yep .
B: Uh , so that 's good .
B: Um . Now , I signed us up for the Wednesday slot , and part of what we should do is this .
D: OK .
B: So ,
B: my idea on that was uh , partly we 'll talk about system stuff for the computer scientists ,
B: but partly I did want it to get the linguists involved in some of this issue about what the task is and all um you know , what the dialogue is , and what 's going on linguistically ,
B: because to the extent that we can get them contributing ,
B: that will be good .
D: Yep .
B: So this issue about you know re - formulating things ,
B: maybe we can get some of the linguists sufficiently interested that they 'll help us with it ,
B: uh , other linguists , if you 're a linguist ,
B: but in any case ,
D: Yep .
B: um , the linguistics students and stuff .
B: So my idea on on Wednesday is partly to uh B: you I mean , what you did today would i is just fine .
B: You just uh do " this is what we did , and here 's the thing , and here 's s some of the dialogue and and so forth . "
B: But then , the other thing of course is we should um give the computer scientists some idea of of what 's going on with the system design ,
B: and where we think the belief - nets fit in
B: and where the pieces are and stuff like that .
D: Yep .
B: Is is this make sense to everybody ?
B: Yeah .
B: So , I don't I don't think it 's worth a lot of work , particularly on your part , to to to make a big presentation .
B: I don't think you should B: you don't have to make any new uh PowerPoint or anything .
B: I think we got plenty of stuff to talk about .
B: And , then um just see how a discussion goes .
D: Mm - hmm .
D: Sounds good .
D: The uh other two things is um
D: we 've can have Johno tell us a little about this
B: Great .
D: and we also have a l little bit on the interface ,
D: M - three - L enhancement ,
D: and then um that was it , I think .
A: So , what I did for this this is uh , a pedagogical belief - net
A: because I was I I took I tried to conceptually do what you were talking about with the nodes that you could expand out A: so what I did was I took A: I made these dummy nodes called Trajector - In and Trajector - Out that would isolate the things related to the trajector .
B: Yep .
A: And then there were the things with the source and the path and the goal .
B: Yep .
A: And I separated them out .
A: And then I um did similar things for our our net to uh with the context and the discourse and whatnot ,
A: um , so we could sort of isolate them or whatever in terms of the the top layer .
B: Mm - hmm .
A: And then the bottom layer is just the Mode .
A: So .
B: So , let 's let 's B: Yeah , I don't understand it .
B: Let 's go B: Slide all the way up so we see what the p the p very bottom looks like ,
B: or is that it ?
A: Yeah , there 's just one more node and it says " Mode " which is the decision between the D: Yeah .
B: OK , great .
B: Alright .
B: So A: So basically all I did was I took the last belief - net
B: Mm - hmm .
A: and I grouped things according to what how I thought they would fit in to uh image schemas that would be related .
A: And the two that I came up with were Trajector - landmark and then Source - path - goal as initial ones .
B: Yep .
B: Mm - hmm .
A: And then I said well , uh the trajector would be the person in this case probably .
B: Right ,
B: yep .
A: Um , you know , we have we have the concept of what their intention was , whether they were trying to tour or do business or whatever ,
B: Right .
A: or they were hurried .
A: That 's kind of related to that .
A: And then um in terms of the source , the things uh the only things that we had on there I believe were whether A: Oh actually , I kind of , I might have added these cuz I don't think we talked too much about the source in the old one
A: but uh whether the where I 'm currently at is a landmark might have a bearing on whether D: Mm - hmm .
A: or the " landmark - iness " of where I 'm currently at .
A: And " usefulness " is basi basically means is that an institutional facility like a town hall or something like that that 's not something that you 'd visit for tourist 's tourism 's sake or whatever .
A: " Travel constraints " would be something like you know , maybe they said they can they only wanna take a bus or something like that ,
A: right ?
A: And then those are somewhat related to the path ,
B: Mm - hmm .
A: so that would determine whether we 'd could take we would be telling them to go to the bus stop or versus walking there directly .
A: Um , " Goal " .
A: Similar things as the source except they also added whether the entity was closed
A: and whether they have somehow marked that is was the final destination .
A: Um , and then if you go up ,
A: Robert ,
A: Yeah , so um , in terms of Context , what we had currently said was whether they were a businessman or a tourist of some other person .
A: Um , Discourse was related to whether they had asked about open hours
A: or whether they asked about where the entrance was or the admission fee , or something along those lines .
B: Mm - hmm .
A: Uh , Prosody I don't really I 'm not really sure what prosody means , in this context ,
A: so I just made up you know whether whether what they say is or h how they say it is is that .
B: Right , OK .
A: Um , the Parse would be what verb they chose ,
A: and then maybe how they modified it , in the sense of whether they said " I need to get there quickly " or whatever .
B: Mm - hmm .
A: And um , in terms of World Knowledge , this would just basically be like opening and closing times of things , the time of day it is , and whatnot .
D: What 's " tourbook " ?
A: Tourbook ?
A: That would be , I don't know , the " landmark - iness " of things ,
D: Mm - hmm .
A: whether it 's in the tourbook or not .
B: Ch - ch - ch - ch .
B: Now .
B: Alright , so I understand what 's what you got .
B: I don't yet understand how you would use it .
B: So let me see if I can ask
B: a s
A: Well , this is not a working Bayes - net .
B: Right .
B: No , I understand that ,
B: but but um
B: So , what B: Let 's slide back up again
B: and see B: start at the at the bottom
B: and
B: Oop - bo - doop - boop - boop .
B: Yeah .
B: So , you could imagine
B: w Uh , go ahead , you were about to go up there and point to something .
A: Well I OK , I just A: Say what you were gonna say .
B: Good , do it !
B: No no ,
A: OK .
B: go do it .
A: Uh I I 'd No , I was gonna wait until B: Oh , OK .
B: So , so if you if we made if we wanted to make it into a a real uh Bayes - net ,
B: that is , you know , with fill B: you know , actually f uh , fill it @ @ in , then uh A: So we 'd have to get rid of this and connect these things directly to the Mode .
B: Well , I don't B: That 's an issue .
B: So , um A: Cuz I don't understand how it would work otherwise .
B: Well , here 's the problem .
B: And and uh Bhaskara and I was talking about this a little earlier today B: is , if we just do this , we could wind up with a huge uh , combinatoric input to the Mode thing .
B: And uh A: Well I oh yeah , I unders I understand that ,
A: I just uh it 's hard for me to imagine how he could get around that .
B: Well , i But that 's what we have to do .
A: OK .
B: OK , so , so ,
B: uh .
B: There there are a variety of ways of doing it .
B: Uh . Let me just mention something that I don't want to pursue today
B: which is there are technical ways of doing it ,
B: uh I I slipped a paper to Bhaskara and about Noisy - OR 's and Noisy - MAXes