Yeah , that 's what I was thinking , but


Yeah , that 's what I was thinking , but

OK. And um  So , some  some work needs to be done , but I think we can uh  And this , and  in case no  you hadn't seen it , this is what Litonya looked at during the uh  um while taking the  while partaking in the data collection.


OK. And um  So , some  some work needs to be done , but I think we can uh  And this , and  in case no  you hadn't seen it , this is what Litonya looked at during the uh  um while taking the  while partaking in the data collection.


OK. And um  So , some  some work needs to be done , but I think we can uh  And this , and  in case no  you hadn't seen it , this is what Litonya looked at during the uh  um while taking the  while partaking in the data collection.

OK , great. So  first of all , I agree that um we should hire Fey , and start paying her. Probably pay for the time she 's put in as well. Um , do you know exactly how to do that , or is uh Lila  I mean , you know what exactly do we do to  to put her on the payroll in some way ?


OK. And um  So , some  some work needs to be done , but I think we can uh  And this , and  in case no  you hadn't seen it , this is what Litonya looked at during the uh  um while taking the  while partaking in the data collection.

OK , great. So  first of all , I agree that um we should hire Fey , and start paying her. Probably pay for the time she 's put in as well. Um , do you know exactly how to do that , or is uh Lila  I mean , you know what exactly do we do to  to put her on the payroll in some way ?

I 'm completely clueless , but I 'm willing to learn.


OK , great. So  first of all , I agree that um we should hire Fey , and start paying her. Probably pay for the time she 's put in as well. Um , do you know exactly how to do that , or is uh Lila  I mean , you know what exactly do we do to  to put her on the payroll in some way ?

I 'm completely clueless , but I 'm willing to learn.

OK. Well , you 'll have to. Right. So anyway , um


OK , great. So  first of all , I agree that um we should hire Fey , and start paying her. Probably pay for the time she 's put in as well. Um , do you know exactly how to do that , or is uh Lila  I mean , you know what exactly do we do to  to put her on the payroll in some way ?

I 'm completely clueless , but I 'm willing to learn.

OK. Well , you 'll have to. Right. So anyway , um

So why don't you uh ask Lila and see what she says about you know exactly what we do for someone in th


I 'm completely clueless , but I 'm willing to learn.

OK. Well , you 'll have to. Right. So anyway , um

So why don't you uh ask Lila and see what she says about you know exactly what we do for someone in th


OK. Well , you 'll have to. Right. So anyway , um

So why don't you uh ask Lila and see what she says about you know exactly what we do for someone in th

Well , yeah she 's un she 's not a  a student ,


So why don't you uh ask Lila and see what she says about you know exactly what we do for someone in th

Well , yeah she 's un she 's not a  a student ,


Well , yeah she 's un she 's not a  a student ,


So i if  Yeah , I agree , she sounded fine , she a actually was  uh , more uh , present and stuff than  than she was in conversation , so she did a better job than I would have guessed from just talking to her.


So i if  Yeah , I agree , she sounded fine , she a actually was  uh , more uh , present and stuff than  than she was in conversation , so she did a better job than I would have guessed from just talking to her.

This is sort of what I gave her , so this is for example h how to get to the student prison ,


This is sort of what I gave her , so this is for example h how to get to the student prison ,


This is sort of what I gave her , so this is for example h how to get to the student prison ,

and I didn't even spell it out here and in some cases I  I spelled it out a little bit um more thoroughly ,


and I didn't even spell it out here and in some cases I  I spelled it out a little bit um more thoroughly ,

this is the information on  on the low sunken castle , and the amphitheater that never came up , and um , so i if we give her even more um , instruments to work with I think the results are gonna be even better.


and I didn't even spell it out here and in some cases I  I spelled it out a little bit um more thoroughly ,

this is the information on  on the low sunken castle , and the amphitheater that never came up , and um , so i if we give her even more um , instruments to work with I think the results are gonna be even better.

Oh , yeah , and then of course as she does it she 'll  she 'll learn @ @.  So that 's great. Um  And also if she 's willing to take on the job of organizing all those subjects and stuff that would be wonderful.


this is the information on  on the low sunken castle , and the amphitheater that never came up , and um , so i if we give her even more um , instruments to work with I think the results are gonna be even better.

Oh , yeah , and then of course as she does it she 'll  she 'll learn @ @.  So that 's great. Um  And also if she 's willing to take on the job of organizing all those subjects and stuff that would be wonderful.


this is the information on  on the low sunken castle , and the amphitheater that never came up , and um , so i if we give her even more um , instruments to work with I think the results are gonna be even better.

Oh , yeah , and then of course as she does it she 'll  she 'll learn @ @.  So that 's great. Um  And also if she 's willing to take on the job of organizing all those subjects and stuff that would be wonderful.

And , uh she 's  actually she 's going to graduate school in a kind of an experimental paradigm , 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.


Oh , yeah , and then of course as she does it she 'll  she 'll learn @ @.  So that 's great. Um  And also if she 's willing to take on the job of organizing all those subjects and stuff that would be wonderful.

And , uh she 's  actually she 's going to graduate school in a kind of an experimental paradigm , 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.


And , uh she 's  actually she 's going to graduate school in a kind of an experimental paradigm , 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.

So , I  my guess is she 'll be r r quite happy to take on that job. And , so


And , uh she 's  actually she 's going to graduate school in a kind of an experimental paradigm , 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.

So , I  my guess is she 'll be r r quite happy to take on that job. And , so

Yep. Yeah she  she didn't explicitly state that so.


So , I  my guess is she 'll be r r quite happy to take on that job. And , so

Yep. Yeah she  she didn't explicitly state that so.


So , I  my guess is she 'll be r r quite happy to take on that job. And , so

Yep. Yeah she  she didn't explicitly state that so.

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. She also agrees that you know if it 's all just gonna be students the data is gonna be less valuable because of that so.


Yep. Yeah she  she didn't explicitly state that so.

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. She also agrees that you know if it 's all just gonna be students the data is gonna be less valuable because of that so.

Well , as I say there is this s set of people next door , it 's not hard to


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. She also agrees that you know if it 's all just gonna be students the data is gonna be less valuable because of that so.

Well , as I say there is this s set of people next door , it 's not hard to


Well , as I say there is this s set of people next door , it 's not hard to

However , we may run into a problem with a reading task there. And um , we 'll see.


However , we may run into a problem with a reading task there. And um , we 'll see.

Yeah. 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 ,


However , we may run into a problem with a reading task there. And um , we 'll see.

Yeah. 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 ,

but um you have to be comfortable reading relatively complicated stuff. And  and there 'll probably be self - selection to some extent.


Yeah. 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 ,

but um you have to be comfortable reading relatively complicated stuff. And  and there 'll probably be self - selection to some extent.


but um you have to be comfortable reading relatively complicated stuff. And  and there 'll probably be self - selection to some extent.

Uh , so that 's good. Um. Now ,  I signed us up for the Wednesday slot , and part of what we should do is this.


Uh , so that 's good. Um. Now ,  I signed us up for the Wednesday slot , and part of what we should do is this.

So , my idea on that was  uh , partly we 'll talk about system stuff for the computer scientists , 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 , because to the extent that we can get them contributing , that will be good. So this issue about you know re - formulating things ,


So , my idea on that was  uh , partly we 'll talk about system stuff for the computer scientists , 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 , because to the extent that we can get them contributing , that will be good. So this issue about you know re - formulating things ,

maybe we can get some of the linguists sufficiently interested that they 'll help us with it , uh , other linguists , if you 're a linguist , but in any case ,


maybe we can get some of the linguists sufficiently interested that they 'll help us with it , uh , other linguists , if you 're a linguist , but in any case ,

um , the linguistics students and stuff. So my idea on  on Wednesday is partly to uh  you  I mean , what you did today would  i is just fine. 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. " 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 , and where we think the belief - nets fit in and where the pieces are and stuff like that. Is  is this  make sense to everybody ?


um , the linguistics students and stuff. So my idea on  on Wednesday is partly to uh  you  I mean , what you did today would  i is just fine. 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. " 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 , and where we think the belief - nets fit in and where the pieces are and stuff like that. Is  is this  make sense to everybody ?

Yeah. 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. I don't think you should  you don't have to make any new  uh PowerPoint or anything. I think we got plenty of stuff to talk about. And , then um just see how a discussion goes.


um , the linguistics students and stuff. So my idea on  on Wednesday is partly to uh  you  I mean , what you did today would  i is just fine. 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. " 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 , and where we think the belief - nets fit in and where the pieces are and stuff like that. Is  is this  make sense to everybody ?

Yeah. 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. I don't think you should  you don't have to make any new  uh PowerPoint or anything. I think we got plenty of stuff to talk about. And , then um just see how a discussion goes.

Mm - hmm. Sounds good. The uh other two things is um we 've  can have Johno tell us a little about this


Yeah. 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. I don't think you should  you don't have to make any new  uh PowerPoint or anything. I think we got plenty of stuff to talk about. And , then um just see how a discussion goes.

Mm - hmm. Sounds good. The uh other two things is um we 've  can have Johno tell us a little about this


Yeah. 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. I don't think you should  you don't have to make any new  uh PowerPoint or anything. I think we got plenty of stuff to talk about. And , then um just see how a discussion goes.

Mm - hmm. Sounds good. The uh other two things is um we 've  can have Johno tell us a little about this

and we also have a l little bit on the interface , M - three - L enhancement , and then um that was it , I think.


Mm - hmm. Sounds good. The uh other two things is um we 've  can have Johno tell us a little about this

and we also have a l little bit on the interface , M - three - L enhancement , and then um that was it , I think.

So , what I did for this  this is  uh , a pedagogical belief - net because I was  I  I took  I tried to conceptually do what you were talking about with the nodes that you could expand out  so what I did was I took  I made these dummy nodes called Trajector - In and Trajector - Out that would isolate the things related to the trajector.


and we also have a l little bit on the interface , M - three - L enhancement , and then um that was it , I think.

So , what I did for this  this is  uh , a pedagogical belief - net because I was  I  I took  I tried to conceptually do what you were talking about with the nodes that you could expand out  so what I did was I took  I made these dummy nodes called Trajector - In and Trajector - Out that would isolate the things related to the trajector.


and we also have a l little bit on the interface , M - three - L enhancement , and then um that was it , I think.

So , what I did for this  this is  uh , a pedagogical belief - net because I was  I  I took  I tried to conceptually do what you were talking about with the nodes that you could expand out  so what I did was I took  I made these dummy nodes called Trajector - In and Trajector - Out that would isolate the things related to the trajector.

And then there were the things with the source and the path and the goal.


So , what I did for this  this is  uh , a pedagogical belief - net because I was  I  I took  I tried to conceptually do what you were talking about with the nodes that you could expand out  so what I did was I took  I made these dummy nodes called Trajector - In and Trajector - Out that would isolate the things related to the trajector.

And then there were the things with the source and the path and the goal.


And then there were the things with the source and the path and the goal.

And I separated them out. And then I um did similar things for our  our net to  uh with the context and the discourse and whatnot , um , so we could sort of isolate them or whatever in terms of the  the top layer.


And I separated them out. And then I um did similar things for our  our net to  uh with the context and the discourse and whatnot , um , so we could sort of isolate them or whatever in terms of the  the top layer.

And then the bottom layer is just the Mode. So.


And I separated them out. And then I um did similar things for our  our net to  uh with the context and the discourse and whatnot , um , so we could sort of isolate them or whatever in terms of the  the top layer.

And then the bottom layer is just the Mode. So.

So , let 's  let 's  Yeah , I don't understand it. Let 's go  Slide all the way up so we see what the p the p very bottom looks like , or is that it ?


And then the bottom layer is just the Mode. So.

So , let 's  let 's  Yeah , I don't understand it. Let 's go  Slide all the way up so we see what the p the p very bottom looks like , or is that it ?

Yeah , there 's just one more node and it says " Mode " which is the decision between the


So , let 's  let 's  Yeah , I don't understand it. Let 's go  Slide all the way up so we see what the p the p very bottom looks like , or is that it ?

Yeah , there 's just one more node and it says " Mode " which is the decision between the


Yeah , there 's just one more node and it says " Mode " which is the decision between the

So basically all I did was I took the last  belief - net


So basically all I did was I took the last  belief - net


So basically all I did was I took the last  belief - net

and I grouped things according to what  how I thought they would fit in to uh image schemas that would be related. And the two that I came up with were Trajector - landmark and then Source - path - goal as initial ones.


and I grouped things according to what  how I thought they would fit in to uh image schemas that would be related. And the two that I came up with were Trajector - landmark and then Source - path - goal as initial ones.

And then I said well , uh the trajector would be the person in this case probably.


And then I said well , uh the trajector would be the person in this case probably.

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 ,


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 ,

or they were hurried. That 's kind of related to that. And then um in terms of the source , the things  uh the only things that we had on there I believe were whether  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 but uh whether the  where I 'm currently at is a landmark might have a bearing on whether


or they were hurried. That 's kind of related to that. And then um in terms of the source , the things  uh the only things that we had on there I believe were whether  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 but uh whether the  where I 'm currently at is a landmark might have a bearing on whether

or the " landmark - iness " of where I 'm currently at. 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. " Travel constraints " would be something like you know , maybe they said they can  they only wanna take a bus or something like that , right ? And then those are somewhat related to the path ,


or the " landmark - iness " of where I 'm currently at. 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. " Travel constraints " would be something like you know , maybe they said they can  they only wanna take a bus or something like that , right ? And then those are somewhat related to the path ,

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. Um , " Goal ". Similar things as the source except they also added whether the entity was closed and whether they have somehow marked that is was the final destination. Um , and then if you go up , Robert , 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. Um , Discourse was related to whether they had asked about open hours or whether they asked about where the entrance was or the admission fee , or something along those lines.


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. Um , " Goal ". Similar things as the source except they also added whether the entity was closed and whether they have somehow marked that is was the final destination. Um , and then if you go up , Robert , 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. Um , Discourse was related to whether they had asked about open hours or whether they asked about where the entrance was or the admission fee , or something along those lines.

Uh , Prosody I don't really  I 'm not really sure what prosody means , in this context , so I just made up you know whether  whether what they say is  or h how they say it is  is that.


Uh , Prosody I don't really  I 'm not really sure what prosody means , in this context , so I just made up you know whether  whether what they say is  or h how they say it is  is that.

Um , the Parse would be what verb they chose , and then maybe how they modified it , in the sense of whether they said " I need to get there quickly " or whatever.


Um , the Parse would be what verb they chose , and then maybe how they modified it , in the sense of whether they said " I need to get there quickly " or whatever.

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.


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.

Tourbook ? That would be , I don't know , the " landmark - iness " of things ,


Tourbook ? That would be , I don't know , the " landmark - iness " of things ,


Tourbook ? That would be , I don't know , the " landmark - iness " of things ,

Ch - ch - ch - ch. Now. Alright , so I understand what 's  what you got. I don't yet understand  how you would use it. So let me see if I can ask


Ch - ch - ch - ch. Now. Alright , so I understand what 's  what you got. I don't yet understand  how you would use it. So let me see if I can ask

Well , this is not a working Bayes - net.


Ch - ch - ch - ch. Now. Alright , so I understand what 's  what you got. I don't yet understand  how you would use it. So let me see if I can ask

Well , this is not a working Bayes - net.

a s Right. No , I understand that , but  but um So , what  Let 's slide back up again and see  start at the  at the bottom and Oop - bo - doop - boop - boop. Yeah. So , you could imagine w Uh , go ahead , you were about to go up there and point to something.


Ch - ch - ch - ch. Now. Alright , so I understand what 's  what you got. I don't yet understand  how you would use it. So let me see if I can ask

Well , this is not a working Bayes - net.

a s Right. No , I understand that , but  but um So , what  Let 's slide back up again and see  start at the  at the bottom and Oop - bo - doop - boop - boop. Yeah. So , you could imagine w Uh , go ahead , you were about to go up there and point to something.

Well I  OK , I just  Say what you were gonna say.


Well , this is not a working Bayes - net.

a s Right. No , I understand that , but  but um So , what  Let 's slide back up again and see  start at the  at the bottom and Oop - bo - doop - boop - boop. Yeah. So , you could imagine w Uh , go ahead , you were about to go up there and point to something.

Well I  OK , I just  Say what you were gonna say.


a s Right. No , I understand that , but  but um So , what  Let 's slide back up again and see  start at the  at the bottom and Oop - bo - doop - boop - boop. Yeah. So , you could imagine w Uh , go ahead , you were about to go up there and point to something.

Well I  OK , I just  Say what you were gonna say.


Well I  OK , I just  Say what you were gonna say.


Uh  I  I 'd  No , I was gonna wait until


Uh  I  I 'd  No , I was gonna wait until

Oh , OK. So , so if you  if we made  if we wanted to make it into a  a real uh Bayes - net , that is , you know , with fill  you know , actually f uh , fill it @ @ in , then uh


Uh  I  I 'd  No , I was gonna wait until

Oh , OK. So , so if you  if we made  if we wanted to make it into a  a real uh Bayes - net , that is , you know , with fill  you know , actually f uh , fill it @ @ in , then uh

So we 'd have to get rid of this and connect these things directly to the Mode.


Uh  I  I 'd  No , I was gonna wait until

Oh , OK. So , so if you  if we made  if we wanted to make it into a  a real uh Bayes - net , that is , you know , with fill  you know , actually f uh , fill it @ @ in , then uh

So we 'd have to get rid of this and connect these things directly to the Mode.

Well , I don't  That 's an issue. So , um


Oh , OK. So , so if you  if we made  if we wanted to make it into a  a real uh Bayes - net , that is , you know , with fill  you know , actually f uh , fill it @ @ in , then uh

So we 'd have to get rid of this and connect these things directly to the Mode.

Well , I don't  That 's an issue. So , um

Cuz I don't understand how it would work otherwise.


So we 'd have to get rid of this and connect these things directly to the Mode.

Well , I don't  That 's an issue. So , um

Cuz I don't understand how it would work otherwise.

Well , here 's the problem. And  and uh  Bhaskara and I was talking about this a little earlier today  is , if we just do this , we could wind up with a huge uh , combinatoric input to the Mode thing. And uh


Well , I don't  That 's an issue. So , um

Cuz I don't understand how it would work otherwise.

Well , here 's the problem. And  and uh  Bhaskara and I was talking about this a little earlier today  is , if we just do this , we could wind up with a huge uh , combinatoric input to the Mode thing. And uh

Well I  oh yeah , I unders I understand that , I just  uh it 's hard for me to imagine how he could get around that.


Cuz I don't understand how it would work otherwise.

Well , here 's the problem. And  and uh  Bhaskara and I was talking about this a little earlier today  is , if we just do this , we could wind up with a huge uh , combinatoric input to the Mode thing. And uh

Well I  oh yeah , I unders I understand that , I just  uh it 's hard for me to imagine how he could get around that.

Well , i But that 's what we have to do.


Well , here 's the problem. And  and uh  Bhaskara and I was talking about this a little earlier today  is , if we just do this , we could wind up with a huge uh , combinatoric input to the Mode thing. And uh

Well I  oh yeah , I unders I understand that , I just  uh it 's hard for me to imagine how he could get around that.

Well , i But that 's what we have to do.


Well I  oh yeah , I unders I understand that , I just  uh it 's hard for me to imagine how he could get around that.

Well , i But that 's what we have to do.

OK , so , so , uh. There  there are a variety of ways of doing it. Uh. Let me just mention something that I don't want to pursue today which is there are technical ways of doing it , uh I I slipped a paper to Bhaskara and  about Noisy - OR 's and Noisy - MAXes and there 're ways to uh sort of back off on the purity of your Bayes - net - edness.


Well , i But that 's what we have to do.

OK , so , so , uh. There  there are a variety of ways of doing it. Uh. Let me just mention something that I don't want to pursue today which is there are technical ways of doing it , uh I I slipped a paper to Bhaskara and  about Noisy - OR 's and Noisy - MAXes and there 're ways to uh sort of back off on the purity of your Bayes - net - edness.


OK , so , so , uh. There  there are a variety of ways of doing it. Uh. Let me just mention something that I don't want to pursue today which is there are technical ways of doing it , uh I I slipped a paper to Bhaskara and  about Noisy - OR 's and Noisy - MAXes and there 're ways to uh sort of back off on the purity of your Bayes - net - edness.

Uh , so. If you co you could ima and I now I don't know that any of those actually apply in this case , but there is some technology you could try to apply.


OK , so , so , uh. There  there are a variety of ways of doing it. Uh. Let me just mention something that I don't want to pursue today which is there are technical ways of doing it , uh I I slipped a paper to Bhaskara and  about Noisy - OR 's and Noisy - MAXes and there 're ways to uh sort of back off on the purity of your Bayes - net - edness.

Uh , so. If you co you could ima and I now I don't know that any of those actually apply in this case , but there is some technology you could try to apply.

So it 's possible that we could do something like a summary node of some sort that  OK.


Uh , so. If you co you could ima and I now I don't know that any of those actually apply in this case , but there is some technology you could try to apply.

So it 's possible that we could do something like a summary node of some sort that  OK.


Uh , so. If you co you could ima and I now I don't know that any of those actually apply in this case , but there is some technology you could try to apply.

So it 's possible that we could do something like a summary node of some sort that  OK.

So in that case , the sum we 'd have  we  I mean , these wouldn't be the summary nodes. We 'd have the summary nodes like where the things were  I guess maybe if thi if things were related to business or some other


So it 's possible that we could do something like a summary node of some sort that  OK.

So in that case , the sum we 'd have  we  I mean , these wouldn't be the summary nodes. We 'd have the summary nodes like where the things were  I guess maybe if thi if things were related to business or some other


So in that case , the sum we 'd have  we  I mean , these wouldn't be the summary nodes. We 'd have the summary nodes like where the things were  I guess maybe if thi if things were related to business or some other


So in that case , the sum we 'd have  we  I mean , these wouldn't be the summary nodes. We 'd have the summary nodes like where the things were  I guess maybe if thi if things were related to business or some other

So what I was gonna say is  is maybe a good at this point is to try to informally  I mean , not necessarily in th in this meeting , but to try to informally think about what the decision variables are. So , if you have some bottom line uh decision about which mode , you know , what are the most relevant things.


So what I was gonna say is  is maybe a good at this point is to try to informally  I mean , not necessarily in th in this meeting , but to try to informally think about what the decision variables are. So , if you have some bottom line uh decision about which mode , you know , what are the most relevant things.


So what I was gonna say is  is maybe a good at this point is to try to informally  I mean , not necessarily in th in this meeting , but to try to informally think about what the decision variables are. So , if you have some bottom line uh decision about which mode , you know , what are the most relevant things.

And the other trick , which is not a technical trick , it 's kind of a knowledge engineering trick , is to make the n  each node sufficiently narrow that you don't get this combinatorics. So that if you decided that you could characterize the decision as a trade - off between three factors , whatever they may be , OK ? then you could say " Aha , let 's have these three factors " , OK ? and maybe a binary version f for each , or some relatively compact decision node just above the final one.


And the other trick , which is not a technical trick , it 's kind of a knowledge engineering trick , is to make the n  each node sufficiently narrow that you don't get this combinatorics. So that if you decided that you could characterize the decision as a trade - off between three factors , whatever they may be , OK ? then you could say " Aha , let 's have these three factors " , OK ? and maybe a binary version f for each , or some relatively compact decision node just above the final one.

And then the question would be if  if those are the things that you care about , uh can you make a relatively compact way of getting from the various inputs to the things you care about. So that y so that , you know , you can sort of try to do a knowledge engineering thing


And then the question would be if  if those are the things that you care about , uh can you make a relatively compact way of getting from the various inputs to the things you care about. So that y so that , you know , you can sort of try to do a knowledge engineering thing

given that we 're not gonna screw with the technology and just always use uh sort of orthodox Bayes - nets , then we have a knowledge engineering little problem of how do we do that. Um and


And then the question would be if  if those are the things that you care about , uh can you make a relatively compact way of getting from the various inputs to the things you care about. So that y so that , you know , you can sort of try to do a knowledge engineering thing

given that we 're not gonna screw with the technology and just always use uh sort of orthodox Bayes - nets , then we have a knowledge engineering little problem of how do we do that. Um and

So what I kind of need to do is to take this one and the old one and merge them together ?


given that we 're not gonna screw with the technology and just always use uh sort of orthodox Bayes - nets , then we have a knowledge engineering little problem of how do we do that. Um and

So what I kind of need to do is to take this one and the old one and merge them together ?


So what I kind of need to do is to take this one and the old one and merge them together ?

Well , mmm , something. I mean , so uh , Robert has thought about this problem f for a long time , cuz he 's had these examples kicking around , so he may have some good intuition about you know , what are the crucial things.


Well , mmm , something. I mean , so uh , Robert has thought about this problem f for a long time , cuz he 's had these examples kicking around , so he may have some good intuition about you know , what are the crucial things.


Well , mmm , something. I mean , so uh , Robert has thought about this problem f for a long time , cuz he 's had these examples kicking around , so he may have some good intuition about you know , what are the crucial things.

and , um , I understand where this  the uh  this is a way of playing with this abs Source - path - goal trajector exp uh uh abstraction and  and sort of sh displaying it in a particular way.


and , um , I understand where this  the uh  this is a way of playing with this abs Source - path - goal trajector exp uh uh abstraction and  and sort of sh displaying it in a particular way.

Uh , I don't think our friends uh on Wednesday are going to be able to  Well , maybe they will. Well , let me think about whether  whether I think we can present this to them or not. Um , Uh ,


and , um , I understand where this  the uh  this is a way of playing with this abs Source - path - goal trajector exp uh uh abstraction and  and sort of sh displaying it in a particular way.

Uh , I don't think our friends uh on Wednesday are going to be able to  Well , maybe they will. Well , let me think about whether  whether I think we can present this to them or not. Um , Uh ,

Well , I think this is still , I mean , ad - hoc. This is sort of th the second  version and I  I  I  look at this maybe just as a , you know , a  a  whatever , UML diagram or , you know , as just a uh screen shot , not really as a Bayes - net as John  Johno said.


Uh , I don't think our friends uh on Wednesday are going to be able to  Well , maybe they will. Well , let me think about whether  whether I think we can present this to them or not. Um , Uh ,

Well , I think this is still , I mean , ad - hoc. This is sort of th the second  version and I  I  I  look at this maybe just as a , you know , a  a  whatever , UML diagram or , you know , as just a uh screen shot , not really as a Bayes - net as John  Johno said.

We could actually , y yeah draw it in a different way , in the sense that it would make it more abstract.


Uh , I don't think our friends uh on Wednesday are going to be able to  Well , maybe they will. Well , let me think about whether  whether I think we can present this to them or not. Um , Uh ,

Well , I think this is still , I mean , ad - hoc. This is sort of th the second  version and I  I  I  look at this maybe just as a , you know , a  a  whatever , UML diagram or , you know , as just a uh screen shot , not really as a Bayes - net as John  Johno said.

We could actually , y yeah draw it in a different way , in the sense that it would make it more abstract.

Yeah. But the uh  the  the nice thing is that you know , it just is a  is a visual aid for thinking about these things which has comple clearly have to be specified m more carefully


Well , I think this is still , I mean , ad - hoc. This is sort of th the second  version and I  I  I  look at this maybe just as a , you know , a  a  whatever , UML diagram or , you know , as just a uh screen shot , not really as a Bayes - net as John  Johno said.

We could actually , y yeah draw it in a different way , in the sense that it would make it more abstract.

Yeah. But the uh  the  the nice thing is that you know , it just is a  is a visual aid for thinking about these things which has comple clearly have to be specified m more carefully

Alright , well , le let me think about this some more ,


We could actually , y yeah draw it in a different way , in the sense that it would make it more abstract.

Yeah. But the uh  the  the nice thing is that you know , it just is a  is a visual aid for thinking about these things which has comple clearly have to be specified m more carefully

Alright , well , le let me think about this some more ,


Yeah. But the uh  the  the nice thing is that you know , it just is a  is a visual aid for thinking about these things which has comple clearly have to be specified m more carefully

Alright , well , le let me think about this some more ,

and uh see if we can find a way to present this to this linguists group that  that is helpful to them.


Alright , well , le let me think about this some more ,

and uh see if we can find a way to present this to this linguists group that  that is helpful to them.

I mean , ultimately we  we may w w we regard this as sort of an exercise in  in thinking about the problem and maybe a first version of uh a module , if you wanna call it that , that you can ask , that you can give input and it it 'll uh throw the dice for you , uh throw the die for you , because um I integrated this into the existing SmartKom system in  in the same way as much the same way we can um sort of have this uh  this thing. Close this down. So if this is what M - three - L um will look like and what it 'll give us , um  And a very simple thing. We have an action that he wants to go from somewhere , which is some type of object , to someplace.


and uh see if we can find a way to present this to this linguists group that  that is helpful to them.

I mean , ultimately we  we may w w we regard this as sort of an exercise in  in thinking about the problem and maybe a first version of uh a module , if you wanna call it that , that you can ask , that you can give input and it it 'll uh throw the dice for you , uh throw the die for you , because um I integrated this into the existing SmartKom system in  in the same way as much the same way we can um sort of have this uh  this thing. Close this down. So if this is what M - three - L um will look like and what it 'll give us , um  And a very simple thing. We have an action that he wants to go from somewhere , which is some type of object , to someplace.


and uh see if we can find a way to present this to this linguists group that  that is helpful to them.

I mean , ultimately we  we may w w we regard this as sort of an exercise in  in thinking about the problem and maybe a first version of uh a module , if you wanna call it that , that you can ask , that you can give input and it it 'll uh throw the dice for you , uh throw the die for you , because um I integrated this into the existing SmartKom system in  in the same way as much the same way we can um sort of have this uh  this thing. Close this down. So if this is what M - three - L um will look like and what it 'll give us , um  And a very simple thing. We have an action that he wants to go from somewhere , which is some type of object , to someplace.

And this  these uh  this changed now only um , um  It 's doing it twice now because it already did it once. Um , we 'll add some action type , which in this case is " Approach " and could be , you know , more refined uh in many ways.


I mean , ultimately we  we may w w we regard this as sort of an exercise in  in thinking about the problem and maybe a first version of uh a module , if you wanna call it that , that you can ask , that you can give input and it it 'll uh throw the dice for you , uh throw the die for you , because um I integrated this into the existing SmartKom system in  in the same way as much the same way we can um sort of have this uh  this thing. Close this down. So if this is what M - three - L um will look like and what it 'll give us , um  And a very simple thing. We have an action that he wants to go from somewhere , which is some type of object , to someplace.

And this  these uh  this changed now only um , um  It 's doing it twice now because it already did it once. Um , we 'll add some action type , which in this case is " Approach " and could be , you know , more refined uh in many ways.


And this  these uh  this changed now only um , um  It 's doing it twice now because it already did it once. Um , we 'll add some action type , which in this case is " Approach " and could be , you know , more refined uh in many ways.

Or we can uh have something where the uh goal is a public place and it will give us then of course an action type of the type " Enter ". So this is just based on this one  um , on this one feature , and that 's  that 's about all you can do. And so in the f if this pla if the object type um here is  is a m is a landmark , of course it 'll be um " Vista ". And um this is about as much as we can do if we don't w if we want to avoid uh uh a huge combinatorial explosion where we specify " OK , if it 's this and this but that is not the case " , and so forth , it just gets really really messy.


Or we can uh have something where the uh goal is a public place and it will give us then of course an action type of the type " Enter ". So this is just based on this one  um , on this one feature , and that 's  that 's about all you can do. And so in the f if this pla if the object type um here is  is a m is a landmark , of course it 'll be um " Vista ". And um this is about as much as we can do if we don't w if we want to avoid uh uh a huge combinatorial explosion where we specify " OK , if it 's this and this but that is not the case " , and so forth , it just gets really really messy.


Or we can uh have something where the uh goal is a public place and it will give us then of course an action type of the type " Enter ". So this is just based on this one  um , on this one feature , and that 's  that 's about all you can do. And so in the f if this pla if the object type um here is  is a m is a landmark , of course it 'll be um " Vista ". And um this is about as much as we can do if we don't w if we want to avoid uh uh a huge combinatorial explosion where we specify " OK , if it 's this and this but that is not the case " , and so forth , it just gets really really messy.

It was much too quick for me. OK , so let me see if I understand what you 're saying. So , I  I do understand that uh you can take the M - three - L and add not  and it w and you need to do this , for sure , we have to add , you know , not too much about um object types and stuff , and what I think you did is add some rules of the style that are already there that say " If it 's of type " Landmark " , then you take  you 're gonna take a picture of it. "


It was much too quick for me. OK , so let me see if I understand what you 're saying. So , I  I do understand that uh you can take the M - three - L and add not  and it w and you need to do this , for sure , we have to add , you know , not too much about um object types and stuff , and what I think you did is add some rules of the style that are already there that say " If it 's of type " Landmark " , then you take  you 're gonna take a picture of it. "


It was much too quick for me. OK , so let me see if I understand what you 're saying. So , I  I do understand that uh you can take the M - three - L and add not  and it w and you need to do this , for sure , we have to add , you know , not too much about um object types and stuff , and what I think you did is add some rules of the style that are already there that say " If it 's of type " Landmark " , then you take  you 're gonna take a picture of it. "

F full stop , I mean , that 's what you do. Ev - every landmark you take a picture of ,


It was much too quick for me. OK , so let me see if I understand what you 're saying. So , I  I do understand that uh you can take the M - three - L and add not  and it w and you need to do this , for sure , we have to add , you know , not too much about um object types and stuff , and what I think you did is add some rules of the style that are already there that say " If it 's of type " Landmark " , then you take  you 're gonna take a picture of it. "

F full stop , I mean , that 's what you do. Ev - every landmark you take a picture of ,

Every public place you enter , and statue you want to go as near as possible.


F full stop , I mean , that 's what you do. Ev - every landmark you take a picture of ,

Every public place you enter , and statue you want to go as near as possible.

you enter  You approach. OK. Uh , and certainly you can add rules like that to the existing SmartKom system. And you just did , right ? OK.


Every public place you enter , and statue you want to go as near as possible.

you enter  You approach. OK. Uh , and certainly you can add rules like that to the existing SmartKom system. And you just did , right ? OK.


you enter  You approach. OK. Uh , and certainly you can add rules like that to the existing SmartKom system. And you just did , right ? OK.


Well. So , s well , and let 's think about this.


Well. So , s well , and let 's think about this.

Um , that 's a  that 's another kind of baseline case , that 's another sort of thing " OK , here 's a  another kind of minimal uh way of tackling this ". Add extra properties , a deterministic rule for every property you have an action , " pppt ! " You do that. Um , then the question would be Uh Now , if that 's all you 're doing , then you can get the types from the ontology , OK ? because that 's all  you 're  all you 're using is this type  the types in the ontology and you 're done.


Well. So , s well , and let 's think about this.

Um , that 's a  that 's another kind of baseline case , that 's another sort of thing " OK , here 's a  another kind of minimal uh way of tackling this ". Add extra properties , a deterministic rule for every property you have an action , " pppt ! " You do that. Um , then the question would be Uh Now , if that 's all you 're doing , then you can get the types from the ontology , OK ? because that 's all  you 're  all you 're using is this type  the types in the ontology and you 're done.

Right ? So we don't  we don't use the discourse , we don't use the context , we don't do any of those things.


Um , that 's a  that 's another kind of baseline case , that 's another sort of thing " OK , here 's a  another kind of minimal uh way of tackling this ". Add extra properties , a deterministic rule for every property you have an action , " pppt ! " You do that. Um , then the question would be Uh Now , if that 's all you 're doing , then you can get the types from the ontology , OK ? because that 's all  you 're  all you 're using is this type  the types in the ontology and you 're done.

Right ? So we don't  we don't use the discourse , we don't use the context , we don't do any of those things.


Right ? So we don't  we don't use the discourse , we don't use the context , we don't do any of those things.

Alright , but that 's  but that 's OK , and I mean it it 's again a kind of one minimal extension of the existing things. And that 's something the uh SmartKom people themselves would  they 'd say " Sure , that 's no problem  you know , no problem to add types to the ont " Right ?


Right ? So we don't  we don't use the discourse , we don't use the context , we don't do any of those things.

Alright , but that 's  but that 's OK , and I mean it it 's again a kind of one minimal extension of the existing things. And that 's something the uh SmartKom people themselves would  they 'd say " Sure , that 's no problem  you know , no problem to add types to the ont " Right ?

Yeah. No. And this is  just in order to exemplify what  what we can do very , very easily is , um we have this  this silly uh interface and we have the rules that are as banal as of we just saw , and we have our content.


Alright , but that 's  but that 's OK , and I mean it it 's again a kind of one minimal extension of the existing things. And that 's something the uh SmartKom people themselves would  they 'd say " Sure , that 's no problem  you know , no problem to add types to the ont " Right ?

Yeah. No. And this is  just in order to exemplify what  what we can do very , very easily is , um we have this  this silly uh interface and we have the rules that are as banal as of we just saw , and we have our content.


Alright , but that 's  but that 's OK , and I mean it it 's again a kind of one minimal extension of the existing things. And that 's something the uh SmartKom people themselves would  they 'd say " Sure , that 's no problem  you know , no problem to add types to the ont " Right ?

Yeah. No. And this is  just in order to exemplify what  what we can do very , very easily is , um we have this  this silly uh interface and we have the rules that are as banal as of we just saw , and we have our content.

Now , the content  I  whi which is sort of what  what we see here , which is sort of the Vista , Schema , Source , Path , Goal , whatever.


Yeah. No. And this is  just in order to exemplify what  what we can do very , very easily is , um we have this  this silly uh interface and we have the rules that are as banal as of we just saw , and we have our content.

Now , the content  I  whi which is sort of what  what we see here , which is sort of the Vista , Schema , Source , Path , Goal , whatever.


Now , the content  I  whi which is sort of what  what we see here , which is sort of the Vista , Schema , Source , Path , Goal , whatever.

This will um be um a job to find ways of writing down Image schema , X - schema , constructions , in some  some form , and have this be in a  in a  in the content , loosely called " Constructicon ". And the rules we want to throw away completely. And um  and here is exactly where what 's gonna be replaced with our Bayes - net , which is exactly getting the input feeding into here. This decides whether it 's an whether action  the  the Enter , the Vista , or the whatever


Now , the content  I  whi which is sort of what  what we see here , which is sort of the Vista , Schema , Source , Path , Goal , whatever.

This will um be um a job to find ways of writing down Image schema , X - schema , constructions , in some  some form , and have this be in a  in a  in the content , loosely called " Constructicon ". And the rules we want to throw away completely. And um  and here is exactly where what 's gonna be replaced with our Bayes - net , which is exactly getting the input feeding into here. This decides whether it 's an whether action  the  the Enter , the Vista , or the whatever

Uh , " approach " , you called it , I think this time.


This will um be um a job to find ways of writing down Image schema , X - schema , constructions , in some  some form , and have this be in a  in a  in the content , loosely called " Constructicon ". And the rules we want to throw away completely. And um  and here is exactly where what 's gonna be replaced with our Bayes - net , which is exactly getting the input feeding into here. This decides whether it 's an whether action  the  the Enter , the Vista , or the whatever

Uh , " approach " , you called it , I think this time.

uh Approach um construction should be activated , IE just pasted in.


This will um be um a job to find ways of writing down Image schema , X - schema , constructions , in some  some form , and have this be in a  in a  in the content , loosely called " Constructicon ". And the rules we want to throw away completely. And um  and here is exactly where what 's gonna be replaced with our Bayes - net , which is exactly getting the input feeding into here. This decides whether it 's an whether action  the  the Enter , the Vista , or the whatever

Uh , " approach " , you called it , I think this time.

uh Approach um construction should be activated , IE just pasted in.

That 's what you said  Yeah , that 's fine. Yeah , but  Right. But it 's not construction there , it 's action. Construction is a d is a different story.


Uh , " approach " , you called it , I think this time.

uh Approach um construction should be activated , IE just pasted in.

That 's what you said  Yeah , that 's fine. Yeah , but  Right. But it 's not construction there , it 's action. Construction is a d is a different story.


uh Approach um construction should be activated , IE just pasted in.

That 's what you said  Yeah , that 's fine. Yeah , but  Right. But it 's not construction there , it 's action. Construction is a d is a different story.

Right. This is uh  so what we 'd be generating would be a reference to a semantic uh like parameters for the  for the X - schema ?


That 's what you said  Yeah , that 's fine. Yeah , but  Right. But it 's not construction there , it 's action. Construction is a d is a different story.

Right. This is uh  so what we 'd be generating would be a reference to a semantic uh like parameters for the  for the X - schema ?


Right. This is uh  so what we 'd be generating would be a reference to a semantic uh like parameters for the  for the X - schema ?


Right. This is uh  so what we 'd be generating would be a reference to a semantic uh like parameters for the  for the X - schema ?

Yeah. So that  that uh i if you had the generalized " Go " X - schema and you wanted to specialize it to these three ones , then you would have to supply the parameters.


Yeah. So that  that uh i if you had the generalized " Go " X - schema and you wanted to specialize it to these three ones , then you would have to supply the parameters.


Yeah. So that  that uh i if you had the generalized " Go " X - schema and you wanted to specialize it to these three ones , then you would have to supply the parameters.

And then uh , although we haven't worried about this yet , you might wanna worry about something that would go to the GIS and use that to actually get you know , detailed route planning. So , you know , where do you do take a picture of it and stuff like that.


And then uh , although we haven't worried about this yet , you might wanna worry about something that would go to the GIS and use that to actually get you know , detailed route planning. So , you know , where do you do take a picture of it and stuff like that.

But that 's not  It 's not the immediate problem.


But that 's not  It 's not the immediate problem.

But , presumably that  that  that functionality 's there when  when we


But that 's not  It 's not the immediate problem.

But , presumably that  that  that functionality 's there when  when we

So the immediate problem is just deciding w which


But , presumably that  that  that functionality 's there when  when we

So the immediate problem is just deciding w which


But , presumably that  that  that functionality 's there when  when we

So the immediate problem is just deciding w which

Yeah , so the pro The immediate problem is  is back t t to what you were  what you are doing with the belief - net.


So the immediate problem is just deciding w which

Yeah , so the pro The immediate problem is  is back t t to what you were  what you are doing with the belief - net.


Yeah , so the pro The immediate problem is  is back t t to what you were  what you are doing with the belief - net.

You know , uh what are we going to use to make this decision


Yeah , so the pro The immediate problem is  is back t t to what you were  what you are doing with the belief - net.

You know , uh what are we going to use to make this decision

Right and then , once we 've made the decision , how do we put that into the content ?


You know , uh what are we going to use to make this decision

Right and then , once we 've made the decision , how do we put that into the content ?

Yeah. Right. Right. Well , that  that actually is relatively easy in this case.


Right and then , once we 've made the decision , how do we put that into the content ?

Yeah. Right. Right. Well , that  that actually is relatively easy in this case.

The harder problem is we decide what we want to use , how are we gonna get it ? And that the  the  that 's the hardest problem. So , the hardest problem is how are you going to get this information from some combination of the  what the person says and the context and the ontology. The h So , I think that 's the hardest problem at the moment is  is


Yeah. Right. Right. Well , that  that actually is relatively easy in this case.

The harder problem is we decide what we want to use , how are we gonna get it ? And that the  the  that 's the hardest problem. So , the hardest problem is how are you going to get this information from some combination of the  what the person says and the context and the ontology. The h So , I think that 's the hardest problem at the moment is  is


The harder problem is we decide what we want to use , how are we gonna get it ? And that the  the  that 's the hardest problem. So , the hardest problem is how are you going to get this information from some combination of the  what the person says and the context and the ontology. The h So , I think that 's the hardest problem at the moment is  is

where are you gonna  how are you gonna g get this information. Um , and that 's  so , getting back to here , uh , we have a d a technical problem with the belief - nets that we  we don't want all the com


The harder problem is we decide what we want to use , how are we gonna get it ? And that the  the  that 's the hardest problem. So , the hardest problem is how are you going to get this information from some combination of the  what the person says and the context and the ontology. The h So , I think that 's the hardest problem at the moment is  is

where are you gonna  how are you gonna g get this information. Um , and that 's  so , getting back to here , uh , we have a d a technical problem with the belief - nets that we  we don't want all the com

There 's just too many factors right now.


where are you gonna  how are you gonna g get this information. Um , and that 's  so , getting back to here , uh , we have a d a technical problem with the belief - nets that we  we don't want all the com

There 's just too many factors right now.

too many factors if we  if we allow them to just go combinatorially.


There 's just too many factors right now.

too many factors if we  if we allow them to just go combinatorially.

So we wanna think about which ones we really care about and what they really most depend on , and can we c you know , clean this  this up to the point where it


too many factors if we  if we allow them to just go combinatorially.

So we wanna think about which ones we really care about and what they really most depend on , and can we c you know , clean this  this up to the point where it

So what we really wanna do i cuz this is really just the three layer net , we wanna b make it  expand it out into more layers basically ?


So we wanna think about which ones we really care about and what they really most depend on , and can we c you know , clean this  this up to the point where it

So what we really wanna do i cuz this is really just the three layer net , we wanna b make it  expand it out into more layers basically ?

Right. We might. Uh , I mean that  that 's certainly one thing we can do. Uh , it 's true that the way you have this , a lot of the times you have  what you 're having is the values rather than the variable. So uh


So we wanna think about which ones we really care about and what they really most depend on , and can we c you know , clean this  this up to the point where it

So what we really wanna do i cuz this is really just the three layer net , we wanna b make it  expand it out into more layers basically ?

Right. We might. Uh , I mean that  that 's certainly one thing we can do. Uh , it 's true that the way you have this , a lot of the times you have  what you 're having is the values rather than the variable. So uh

Right. So instead of in instead it should really be  just be " intention " as a node instead of " intention business " or " intention tour ".


So what we really wanna do i cuz this is really just the three layer net , we wanna b make it  expand it out into more layers basically ?

Right. We might. Uh , I mean that  that 's certainly one thing we can do. Uh , it 's true that the way you have this , a lot of the times you have  what you 're having is the values rather than the variable. So uh

Right. So instead of in instead it should really be  just be " intention " as a node instead of " intention business " or " intention tour ".

OK ? So you  Yeah , right , and then it would have values , uh , " Tour " , " Business " , or uh " Hurried ".


Right. We might. Uh , I mean that  that 's certainly one thing we can do. Uh , it 's true that the way you have this , a lot of the times you have  what you 're having is the values rather than the variable. So uh

Right. So instead of in instead it should really be  just be " intention " as a node instead of " intention business " or " intention tour ".

OK ? So you  Yeah , right , and then it would have values , uh , " Tour " , " Business " , or uh " Hurried ".


Right. So instead of in instead it should really be  just be " intention " as a node instead of " intention business " or " intention tour ".

OK ? So you  Yeah , right , and then it would have values , uh , " Tour " , " Business " , or uh " Hurried ".

But then  but i it still some knowledge design to do , about i how do you wanna break this up , what really matters.


OK ? So you  Yeah , right , and then it would have values , uh , " Tour " , " Business " , or uh " Hurried ".

But then  but i it still some knowledge design to do , about i how do you wanna break this up , what really matters.


But then  but i it still some knowledge design to do , about i how do you wanna break this up , what really matters.

I mean , it 's fine. You know , we have to  it 's  it 's iterative. We 're gonna have to work with it some.


But then  but i it still some knowledge design to do , about i how do you wanna break this up , what really matters.

I mean , it 's fine. You know , we have to  it 's  it 's iterative. We 're gonna have to work with it some.

I think what was going through my mind when I did it was someone could both have a business intention and a touring intention and the probabilities of both of them happening at the same time


I mean , it 's fine. You know , we have to  it 's  it 's iterative. We 're gonna have to work with it some.

I think what was going through my mind when I did it was someone could both have a business intention and a touring intention and the probabilities of both of them happening at the same time

Well , you  you could do that. And it 's perfectly OK  to uh insist that  that , you know , th um , they add up to one , but that there 's uh  that  that it doesn't have to be one zero zero.


I think what was going through my mind when I did it was someone could both have a business intention and a touring intention and the probabilities of both of them happening at the same time

Well , you  you could do that. And it 's perfectly OK  to uh insist that  that , you know , th um , they add up to one , but that there 's uh  that  that it doesn't have to be one zero zero.

OK. So you could have the conditional p So the  each of these things is gonna be a  a  a probability. So whenever there 's a choice , uh  so like landmark - ness and usefulness ,


Well , you  you could do that. And it 's perfectly OK  to uh insist that  that , you know , th um , they add up to one , but that there 's uh  that  that it doesn't have to be one zero zero.

OK. So you could have the conditional p So the  each of these things is gonna be a  a  a probability. So whenever there 's a choice , uh  so like landmark - ness and usefulness ,

Well , see I don't think those would be mutually


OK. So you could have the conditional p So the  each of these things is gonna be a  a  a probability. So whenever there 's a choice , uh  so like landmark - ness and usefulness ,

Well , see I don't think those would be mutually


Well , see I don't think those would be mutually


And so that you might want to then have those b Th - Then they may have to be separate. They may not be able to be values of the same variable.


And so that you might want to then have those b Th - Then they may have to be separate. They may not be able to be values of the same variable.

So that 's  but again , this is  this is the sort of knowledge design you have to go through. Right. It 's  you know , it 's great  is  is , you know , as one step toward uh  toward where we wanna go.


And so that you might want to then have those b Th - Then they may have to be separate. They may not be able to be values of the same variable.

So that 's  but again , this is  this is the sort of knowledge design you have to go through. Right. It 's  you know , it 's great  is  is , you know , as one step toward uh  toward where we wanna go.

Also it strikes me that we  we m may want to approach the point where we can sort of try to find a  uh , a specification for some interface , here that um takes the normal M - three - L , looks at it. Then we discussed in our pre - edu  EDU meeting um how to ask the ontology , what to ask the ontology um the fact that we can pretend we have one , make a dummy until we get the real one , and so um we  we may wanna decide we can do this from here , but we also could do it um you know if we have a  a  a belief - net interface. So the belief - net takes as input , a vector , right ? of stuff. And it  Yeah. And um it Output is whatever , as well. But this information is just M - three - L , and then we want to look up some more stuff in the ontology and we want to look up some more stuff in the  maybe we want to ask the real world , maybe you want to look something up in the GRS , but also we definitely want to look up in the dialogue history um some s some stuff. Based on we  we have uh  I was just made some examples from the ontology and so we have for example some information there that the town hall is both a  a  a building and it has doors and stuff like this , but it is also an institution , so it has a mayor and so forth and so forth and we get relations out of it and once we have them , we can use that information to look in the dialogue history , " were any of these things that  that are part of the town hall as an institution mentioned ? " ,


So that 's  but again , this is  this is the sort of knowledge design you have to go through. Right. It 's  you know , it 's great  is  is , you know , as one step toward uh  toward where we wanna go.

Also it strikes me that we  we m may want to approach the point where we can sort of try to find a  uh , a specification for some interface , here that um takes the normal M - three - L , looks at it. Then we discussed in our pre - edu  EDU meeting um how to ask the ontology , what to ask the ontology um the fact that we can pretend we have one , make a dummy until we get the real one , and so um we  we may wanna decide we can do this from here , but we also could do it um you know if we have a  a  a belief - net interface. So the belief - net takes as input , a vector , right ? of stuff. And it  Yeah. And um it Output is whatever , as well. But this information is just M - three - L , and then we want to look up some more stuff in the ontology and we want to look up some more stuff in the  maybe we want to ask the real world , maybe you want to look something up in the GRS , but also we definitely want to look up in the dialogue history um some s some stuff. Based on we  we have uh  I was just made some examples from the ontology and so we have for example some information there that the town hall is both a  a  a building and it has doors and stuff like this , but it is also an institution , so it has a mayor and so forth and so forth and we get relations out of it and once we have them , we can use that information to look in the dialogue history , " were any of these things that  that are part of the town hall as an institution mentioned ? " ,


So that 's  but again , this is  this is the sort of knowledge design you have to go through. Right. It 's  you know , it 's great  is  is , you know , as one step toward uh  toward where we wanna go.

Also it strikes me that we  we m may want to approach the point where we can sort of try to find a  uh , a specification for some interface , here that um takes the normal M - three - L , looks at it. Then we discussed in our pre - edu  EDU meeting um how to ask the ontology , what to ask the ontology um the fact that we can pretend we have one , make a dummy until we get the real one , and so um we  we may wanna decide we can do this from here , but we also could do it um you know if we have a  a  a belief - net interface. So the belief - net takes as input , a vector , right ? of stuff. And it  Yeah. And um it Output is whatever , as well. But this information is just M - three - L , and then we want to look up some more stuff in the ontology and we want to look up some more stuff in the  maybe we want to ask the real world , maybe you want to look something up in the GRS , but also we definitely want to look up in the dialogue history um some s some stuff. Based on we  we have uh  I was just made some examples from the ontology and so we have for example some information there that the town hall is both a  a  a building and it has doors and stuff like this , but it is also an institution , so it has a mayor and so forth and so forth and we get relations out of it and once we have them , we can use that information to look in the dialogue history , " were any of these things that  that are part of the town hall as an institution mentioned ? " ,

" were any of these that make the town hall a building mentioned ? " ,


Also it strikes me that we  we m may want to approach the point where we can sort of try to find a  uh , a specification for some interface , here that um takes the normal M - three - L , looks at it. Then we discussed in our pre - edu  EDU meeting um how to ask the ontology , what to ask the ontology um the fact that we can pretend we have one , make a dummy until we get the real one , and so um we  we may wanna decide we can do this from here , but we also could do it um you know if we have a  a  a belief - net interface. So the belief - net takes as input , a vector , right ? of stuff. And it  Yeah. And um it Output is whatever , as well. But this information is just M - three - L , and then we want to look up some more stuff in the ontology and we want to look up some more stuff in the  maybe we want to ask the real world , maybe you want to look something up in the GRS , but also we definitely want to look up in the dialogue history um some s some stuff. Based on we  we have uh  I was just made some examples from the ontology and so we have for example some information there that the town hall is both a  a  a building and it has doors and stuff like this , but it is also an institution , so it has a mayor and so forth and so forth and we get relations out of it and once we have them , we can use that information to look in the dialogue history , " were any of these things that  that are part of the town hall as an institution mentioned ? " ,

" were any of these that make the town hall a building mentioned ? " ,


" were any of these that make the town hall a building mentioned ? " ,

and so forth , and maybe draw some inferences on that. So this may be a  a sort of a process of two to three steps before we get our vector , that we feed into the belief - net ,


" were any of these that make the town hall a building mentioned ? " ,

and so forth , and maybe draw some inferences on that. So this may be a  a sort of a process of two to three steps before we get our vector , that we feed into the belief - net ,

Yeah. I think that 's  I think that 's exactly right.


and so forth , and maybe draw some inferences on that. So this may be a  a sort of a process of two to three steps before we get our vector , that we feed into the belief - net ,

Yeah. I think that 's  I think that 's exactly right.


and so forth , and maybe draw some inferences on that. So this may be a  a sort of a process of two to three steps before we get our vector , that we feed into the belief - net ,

Yeah. I think that 's  I think that 's exactly right.

There will be rules , but they aren't rules that come to final decisions , they 're rules that gather information for a decision process. Yeah ,


Yeah. I think that 's  I think that 's exactly right.

There will be rules , but they aren't rules that come to final decisions , they 're rules that gather information for a decision process. Yeah ,


There will be rules , but they aren't rules that come to final decisions , they 're rules that gather information for a decision process. Yeah ,

no I think that 's  that 's just fine. Uh , yeah. So they 'll  they  presumably there 'll be a thread or process or something that " Agent " , yeah , " Agent " , whatever you wan wanna say , yeah , that uh is rule - driven , and can  can uh  can do things like that. And um there 's an issue about whether there will be  that 'll be the same agent and the one that then goes off and uh carries out the decision , so it probably will. My guess is it 'll be the same basic agent that um can go off and get information , run it through a  a c this belief - net that  turn a crank in the belief - net , that 'll come out with s uh more  another vector , OK , which can then be uh applied at what we would call the simulation or action end. So you now know what you 're gonna do and that may actually involve getting more information. So on once you pull that out , it could be that that says " Ah ! Now that we know that we gonna go ask the ontology something else. " OK ? Now that we know that it 's a bus trip , OK ? we didn't  We didn't need to know beforehand , uh how long the bus trip takes or whatever , but  but now that we know that 's the way it 's coming out then we gotta go find out more.


no I think that 's  that 's just fine. Uh , yeah. So they 'll  they  presumably there 'll be a thread or process or something that " Agent " , yeah , " Agent " , whatever you wan wanna say , yeah , that uh is rule - driven , and can  can uh  can do things like that. And um there 's an issue about whether there will be  that 'll be the same agent and the one that then goes off and uh carries out the decision , so it probably will. My guess is it 'll be the same basic agent that um can go off and get information , run it through a  a c this belief - net that  turn a crank in the belief - net , that 'll come out with s uh more  another vector , OK , which can then be uh applied at what we would call the simulation or action end. So you now know what you 're gonna do and that may actually involve getting more information. So on once you pull that out , it could be that that says " Ah ! Now that we know that we gonna go ask the ontology something else. " OK ? Now that we know that it 's a bus trip , OK ? we didn't  We didn't need to know beforehand , uh how long the bus trip takes or whatever , but  but now that we know that 's the way it 's coming out then we gotta go find out more.


no I think that 's  that 's just fine. Uh , yeah. So they 'll  they  presumably there 'll be a thread or process or something that " Agent " , yeah , " Agent " , whatever you wan wanna say , yeah , that uh is rule - driven , and can  can uh  can do things like that. And um there 's an issue about whether there will be  that 'll be the same agent and the one that then goes off and uh carries out the decision , so it probably will. My guess is it 'll be the same basic agent that um can go off and get information , run it through a  a c this belief - net that  turn a crank in the belief - net , that 'll come out with s uh more  another vector , OK , which can then be uh applied at what we would call the simulation or action end. So you now know what you 're gonna do and that may actually involve getting more information. So on once you pull that out , it could be that that says " Ah ! Now that we know that we gonna go ask the ontology something else. " OK ? Now that we know that it 's a bus trip , OK ? we didn't  We didn't need to know beforehand , uh how long the bus trip takes or whatever , but  but now that we know that 's the way it 's coming out then we gotta go find out more.

Mm - hmm. So this is actually , s if  if we were to build something that is um , and , uh , I had one more thing , the  it needs to do  Yeah. I think we  I  I can come up with a  a code for a module that we call the " cognitive dispatcher " , which does nothing ,


Mm - hmm. So this is actually , s if  if we were to build something that is um , and , uh , I had one more thing , the  it needs to do  Yeah. I think we  I  I can come up with a  a code for a module that we call the " cognitive dispatcher " , which does nothing ,


Mm - hmm. So this is actually , s if  if we were to build something that is um , and , uh , I had one more thing , the  it needs to do  Yeah. I think we  I  I can come up with a  a code for a module that we call the " cognitive dispatcher " , which does nothing ,

but it looks of complect object trees and decides how  are there parts missing that need to be filled out , there 's  this is maybe something that this module can do , something that this module can do and then collect uh sub - objects and then recombine them and put them together. So maybe this is actually some  some useful tool that we can use to rewrite it , and uh get this part ,


but it looks of complect object trees and decides how  are there parts missing that need to be filled out , there 's  this is maybe something that this module can do , something that this module can do and then collect uh sub - objects and then recombine them and put them together. So maybe this is actually some  some useful tool that we can use to rewrite it , and uh get this part ,


but it looks of complect object trees and decides how  are there parts missing that need to be filled out , there 's  this is maybe something that this module can do , something that this module can do and then collect uh sub - objects and then recombine them and put them together. So maybe this is actually some  some useful tool that we can use to rewrite it , and uh get this part ,

I confess , I 'm still not completely comfortable with the overall story. Um. I i This  this is not a complaint , this is a promise to do more work. So I 'm gonna hafta think about it some more. Um. In particular  see what we 'd like to do , and  and this has been implicit in the discussion , is to do this in such a way that you get a lot of re - use. So. What you 're trying to get out of this deep co cognitive linguistics is the fact that w if you know about source  source , paths and goals , and nnn  all this sort of stuff , that a lot of this is the same , for different tasks. And that  uh there 's  there 's some  some important generalities that you 're getting , so that you don't take each and every one of these tasks and hafta re - do it. And I don't yet see how that goes. Alright.


I confess , I 'm still not completely comfortable with the overall story. Um. I i This  this is not a complaint , this is a promise to do more work. So I 'm gonna hafta think about it some more. Um. In particular  see what we 'd like to do , and  and this has been implicit in the discussion , is to do this in such a way that you get a lot of re - use. So. What you 're trying to get out of this deep co cognitive linguistics is the fact that w if you know about source  source , paths and goals , and nnn  all this sort of stuff , that a lot of this is the same , for different tasks. And that  uh there 's  there 's some  some important generalities that you 're getting , so that you don't take each and every one of these tasks and hafta re - do it. And I don't yet see how that goes. Alright.


I confess , I 'm still not completely comfortable with the overall story. Um. I i This  this is not a complaint , this is a promise to do more work. So I 'm gonna hafta think about it some more. Um. In particular  see what we 'd like to do , and  and this has been implicit in the discussion , is to do this in such a way that you get a lot of re - use. So. What you 're trying to get out of this deep co cognitive linguistics is the fact that w if you know about source  source , paths and goals , and nnn  all this sort of stuff , that a lot of this is the same , for different tasks. And that  uh there 's  there 's some  some important generalities that you 're getting , so that you don't take each and every one of these tasks and hafta re - do it. And I don't yet see how that goes. Alright.

u u What are the primitives , and how do you break this


u u What are the primitives , and how do you break this

So I y I 'm just  just there saying eee  well you  I know how to do any individual case , right ? but I don't yet  see what 's the really interesting question is can you use uh deep uh cognitive linguistics to  get powerful generalizations. And


So I y I 'm just  just there saying eee  well you  I know how to do any individual case , right ? but I don't yet  see what 's the really interesting question is can you use uh deep uh cognitive linguistics to  get powerful generalizations. And


So I y I 'm just  just there saying eee  well you  I know how to do any individual case , right ? but I don't yet  see what 's the really interesting question is can you use uh deep uh cognitive linguistics to  get powerful generalizations. And

Maybe we sho should we a add then the " what 's this ? " domain ? N I mean , we have to " how do I get to X ". Then we also have the " what 's this ? " domain , where we get some slightly different


Maybe we sho should we a add then the " what 's this ? " domain ? N I mean , we have to " how do I get to X ". Then we also have the " what 's this ? " domain , where we get some slightly different


Maybe we sho should we a add then the " what 's this ? " domain ? N I mean , we have to " how do I get to X ". Then we also have the " what 's this ? " domain , where we get some slightly different

Um Johno , actually , does not allow us to call them " intentions " anymore.


Um Johno , actually , does not allow us to call them " intentions " anymore.


Um Johno , actually , does not allow us to call them " intentions " anymore.

Well , I  I don't like the term either , so I have n i uh i i y w i i It uh


Well , I  I don't like the term either , so I have n i uh i i y w i i It uh

But um , I 'm sure the " what 's this ? " questions also create some interesting X - schema aspects.


Well , I  I don't like the term either , so I have n i uh i i y w i i It uh

But um , I 'm sure the " what 's this ? " questions also create some interesting X - schema aspects.

Could be. I 'm not a  I 'm not op particularly opposed to adding that or any other task ,


But um , I 'm sure the " what 's this ? " questions also create some interesting X - schema aspects.

Could be. I 'm not a  I 'm not op particularly opposed to adding that or any other task ,

I mean , eventually we 're gonna want a whole range of them.


Could be. I 'm not a  I 'm not op particularly opposed to adding that or any other task ,

I mean , eventually we 're gonna want a whole range of them.


I mean , eventually we 're gonna want a whole range of them.


I 'm just saying that I 'm gonna hafta do some sort of first principles thinking about this. I just at the moment don't know.


I 'm just saying that I 'm gonna hafta do some sort of first principles thinking about this. I just at the moment don't know.

H No. Well , no the Bayes  the Bayes - nets  The Bayes - nets will be dec specific for each decision. But what I 'd like to be able to do is to have the way that you extract properties , that will go into different Bayes - nets , be the  uh general. So that if you have sources , you have trajectors and stuff like that , and there 's a language for talking about trajectors , you shouldn't have to do that differently for uh uh going to something , than for circling it , for uh telling someone else how to go there ,


H No. Well , no the Bayes  the Bayes - nets  The Bayes - nets will be dec specific for each decision. But what I 'd like to be able to do is to have the way that you extract properties , that will go into different Bayes - nets , be the  uh general. So that if you have sources , you have trajectors and stuff like that , and there 's a language for talking about trajectors , you shouldn't have to do that differently for uh uh going to something , than for circling it , for uh telling someone else how to go there ,

whatever it is. So that  that , the  the decision processes are gonna be different What you 'd really like of course is the same thing you 'd always like which is that you have um a kind of intermediate representation which looks the same o over a bunch of inputs and a bunch of outputs. So all sorts of different tasks  and all sorts of different ways of expressing them use a lot of the same mechanism for pulling out what are the fundamental things going on. And that 's  that would be the really pretty result. And pushing it one step further , when you get to construction grammar and stuff , what you 'd like to be able to do is say you have this parser which is much fancier than the parser that comes with uh SmartKom , i that  that actually uses constructions and is able to tell from this construction that there 's uh something about the intent  you know , the actual what people wanna do or what they 're referring to and stuff , in independent of whether it  about  what is this or where is it or something , that you could tell from the construction , you could pull out deep semantic information which you 're gonna use in a general way. So that 's the  You might. You might. You might be able to  to uh say that this i this is the kind of construction in which the  there 's  Let 's say there 's a uh cont there  the  the land the construction implies the there 's a con this thing is being viewed as a container. OK. So just from this local construction you know that you 're gonna hafta treat it as a container you might as well go off and get that information. And that may effect the way you process everything else. So if you say " how do I get into the castle " OK , then um  Or , you know , " what is there in the castle " or  so there 's all sorts of things you might ask that involve the castle as a container and you 'd like to have this orthogonal so that anytime the castle 's referred to as a container , you crank up the appropriate stuff. Independent of what the goal is , and independent of what the surrounding language is.


whatever it is. So that  that , the  the decision processes are gonna be different What you 'd really like of course is the same thing you 'd always like which is that you have um a kind of intermediate representation which looks the same o over a bunch of inputs and a bunch of outputs. So all sorts of different tasks  and all sorts of different ways of expressing them use a lot of the same mechanism for pulling out what are the fundamental things going on. And that 's  that would be the really pretty result. And pushing it one step further , when you get to construction grammar and stuff , what you 'd like to be able to do is say you have this parser which is much fancier than the parser that comes with uh SmartKom , i that  that actually uses constructions and is able to tell from this construction that there 's uh something about the intent  you know , the actual what people wanna do or what they 're referring to and stuff , in independent of whether it  about  what is this or where is it or something , that you could tell from the construction , you could pull out deep semantic information which you 're gonna use in a general way. So that 's the  You might. You might. You might be able to  to uh say that this i this is the kind of construction in which the  there 's  Let 's say there 's a uh cont there  the  the land the construction implies the there 's a con this thing is being viewed as a container. OK. So just from this local construction you know that you 're gonna hafta treat it as a container you might as well go off and get that information. And that may effect the way you process everything else. So if you say " how do I get into the castle " OK , then um  Or , you know , " what is there in the castle " or  so there 's all sorts of things you might ask that involve the castle as a container and you 'd like to have this orthogonal so that anytime the castle 's referred to as a container , you crank up the appropriate stuff. Independent of what the goal is , and independent of what the surrounding language is.

Alright , so that 's  that 's the  that 's the thesis level


Alright , so that 's  that 's the  that 's the thesis level


Alright , so that 's  that 's the  that 's the thesis level

It 's unfortunate also that English has sort of got rid of most of its spatial adverbs because they 're really fancy then , in  in  for these kinds of analysis. But uh.


It 's unfortunate also that English has sort of got rid of most of its spatial adverbs because they 're really fancy then , in  in  for these kinds of analysis. But uh.

Well , you have prepositional phrases that


It 's unfortunate also that English has sort of got rid of most of its spatial adverbs because they 're really fancy then , in  in  for these kinds of analysis. But uh.

Well , you have prepositional phrases that

Yeah , but they 're  they 're easier for parsers.


Well , you have prepositional phrases that

Yeah , but they 're  they 're easier for parsers.

Parsers can pick those up but  but the  with the spatial adverbs , they have a tough time. Because the  mean the semantics are very complex in that.


Yeah , but they 're  they 're easier for parsers.

Parsers can pick those up but  but the  with the spatial adverbs , they have a tough time. Because the  mean the semantics are very complex in that.


Parsers can pick those up but  but the  with the spatial adverbs , they have a tough time. Because the  mean the semantics are very complex in that.

OK , yeah ? I had one more  thing. I don't remember. I just forgot it again. No. Oh yeah , b But an architecture like this would also enable us maybe to  to throw this away and  and replace it with something else , or whatever , so that we have  so that this is sort of the representational formats we 're  we 're  we 're talking about that are independent of the problem , that generalize over those problems , and are oh , t of a higher quality than an any actual whatever um belief - net , or " X " that we may use for the decision making , ultimately. Should be decoupled , yeah. OK.


We 're on ? Yes , please. I mean , we 're testing noise robustness but let 's not get silly. OK , so , uh , you 've got some , uh , Xerox things to pass out ?


Yeah. Yeah , I 'm sorry for the table , but as it grows in size , uh , it.


Yeah. Yeah , I 'm sorry for the table , but as it grows in size , uh , it.

Uh , so for th the last column we use our imagination. OK.


Uh , so for th the last column we use our imagination. OK.


This one 's nice , though. This has nice big font.


When you get older you have these different perspectives. I mean , lowering the word hour rate is fine , but having big font !


When you get older you have these different perspectives. I mean , lowering the word hour rate is fine , but having big font !

Next time we will put colors or something.


Next time we will put colors or something.


OK , s so there is kind of summary of what has been done


OK , s so there is kind of summary of what has been done

It 's this. Summary of experiments since , well , since last week


It 's this. Summary of experiments since , well , since last week

and also since the  we 've started to run  work on this. Um.  So since last week we 've started to fill the column with um  uh features w with nets trained on PLP with on - line normalization but with delta also , because the column was not completely


and also since the  we 've started to run  work on this. Um.  So since last week we 've started to fill the column with um  uh features w with nets trained on PLP with on - line normalization but with delta also , because the column was not completely

well , it 's still not completely filled ,


and also since the  we 've started to run  work on this. Um.  So since last week we 've started to fill the column with um  uh features w with nets trained on PLP with on - line normalization but with delta also , because the column was not completely

well , it 's still not completely filled ,

but  we have more results to compare with network using without PLP and  finally , hhh ,  um  ehhh  PL - uh delta seems very important. Uh  I don't know. If you take um , let 's say , anyway Aurora - two - B , so , the next  t the second , uh , part of the table ,


well , it 's still not completely filled ,

but  we have more results to compare with network using without PLP and  finally , hhh ,  um  ehhh  PL - uh delta seems very important. Uh  I don't know. If you take um , let 's say , anyway Aurora - two - B , so , the next  t the second , uh , part of the table ,


well , it 's still not completely filled ,

but  we have more results to compare with network using without PLP and  finally , hhh ,  um  ehhh  PL - uh delta seems very important. Uh  I don't know. If you take um , let 's say , anyway Aurora - two - B , so , the next  t the second , uh , part of the table ,

uh  when we use the large training set using French , Spanish , and English , you have one hundred and six without delta and eighty - nine with the delta.


but  we have more results to compare with network using without PLP and  finally , hhh ,  um  ehhh  PL - uh delta seems very important. Uh  I don't know. If you take um , let 's say , anyway Aurora - two - B , so , the next  t the second , uh , part of the table ,

uh  when we use the large training set using French , Spanish , and English , you have one hundred and six without delta and eighty - nine with the delta.

a And again all of these numbers are with a hundred percent being , uh , the baseline performance ,


uh  when we use the large training set using French , Spanish , and English , you have one hundred and six without delta and eighty - nine with the delta.

a And again all of these numbers are with a hundred percent being , uh , the baseline performance ,


uh  when we use the large training set using French , Spanish , and English , you have one hundred and six without delta and eighty - nine with the delta.

a And again all of these numbers are with a hundred percent being , uh , the baseline performance ,

but with a mel cepstra system going straight into the HTK ?


a And again all of these numbers are with a hundred percent being , uh , the baseline performance ,

but with a mel cepstra system going straight into the HTK ?

Yeah. Yeah. So now we see that the gap between the different training set is much  uh uh much smaller


but with a mel cepstra system going straight into the HTK ?

Yeah. Yeah. So now we see that the gap between the different training set is much  uh uh much smaller


Yeah. Yeah. So now we see that the gap between the different training set is much  uh uh much smaller


But , actually , um , for English training on TIMIT is still better than the other languages. And  Mmm ,  Yeah. And f also for Italian , actually. If you take the second set of experiment for Italian , so , the mismatched condition ,


But , actually , um , for English training on TIMIT is still better than the other languages. And  Mmm ,  Yeah. And f also for Italian , actually. If you take the second set of experiment for Italian , so , the mismatched condition ,

um  when we use the training on TIMIT so , it 's multi - English , we have a ninety - one number ,


um  when we use the training on TIMIT so , it 's multi - English , we have a ninety - one number ,

and training with other languages is a little bit worse.


um  when we use the training on TIMIT so , it 's multi - English , we have a ninety - one number ,

and training with other languages is a little bit worse.

Um  Oh , I see. Down near the bottom of this sheet.


and training with other languages is a little bit worse.

Um  Oh , I see. Down near the bottom of this sheet.


Um  Oh , I see. Down near the bottom of this sheet.


And , yeah , and here the gap is still more important between using delta and not using delta. If y if I take the training s the large training set , it 's  we have one hundred and seventy - two ,