So this is so weird it should even make you happy.

Imagine if you will ,  that we have a system that does all that understanding that we want it to do based on utterances.


Imagine if you will ,  that we have a system that does all that understanding that we want it to do based on utterances.


Imagine if you will ,  that we have a system that does all that understanding that we want it to do based on utterances.

It should be possible to make that system produce questions. So if you have the knowledge of how to interpret " where is X ? " under given conditions , situational , user , discourse and ontological  conditions , you should also be able to make that same system ask " where is X ? "


It should be possible to make that system produce questions. So if you have the knowledge of how to interpret " where is X ? " under given conditions , situational , user , discourse and ontological  conditions , you should also be able to make that same system ask " where is X ? "

in a sper certain way , based on certain intentions. So in instead of just being able to observe phenomenon , um , and , guess the intention we might be able just to sort of give it an intention , and make it produce an utterance.


in a sper certain way , based on certain intentions. So in instead of just being able to observe phenomenon , um , and , guess the intention we might be able just to sort of give it an intention , and make it produce an utterance.

Well , like in AI they generally do the take in , and then they also do the generation phase , like Nancy 's thing. Or uh , you remember , in the  the hand thing in one - eighty - two , like not only was it able to recognize but it was also to generate based upon situations. You mean that sort of thing ?


Well , like in AI they generally do the take in , and then they also do the generation phase , like Nancy 's thing. Or uh , you remember , in the  the hand thing in one - eighty - two , like not only was it able to recognize but it was also to generate based upon situations. You mean that sort of thing ?


Well , like in AI they generally do the take in , and then they also do the generation phase , like Nancy 's thing. Or uh , you remember , in the  the hand thing in one - eighty - two , like not only was it able to recognize but it was also to generate based upon situations. You mean that sort of thing ?

And once you 've done that what we can do is have the system ask itself. And answer , understand the answer , ask something else , and enter a dialogue with itself. So the  the ba basic  the same idea as having two chess computers play against each other.


And once you 've done that what we can do is have the system ask itself. And answer , understand the answer , ask something else , and enter a dialogue with itself. So the  the ba basic  the same idea as having two chess computers play against each other.

Except this smacks a little bit more of a schizophrenic computer than AI.


And once you 've done that what we can do is have the system ask itself. And answer , understand the answer , ask something else , and enter a dialogue with itself. So the  the ba basic  the same idea as having two chess computers play against each other.

Except this smacks a little bit more of a schizophrenic computer than AI.

Yeah you c if you want , you can have two parallel  machines um , asking each other. What would that give us ? Would A be something completely weird and strange , and B , i if you look at all the factors , we will never observe people let 's say , in wheelchairs under  you know , in  under all conditions ,


Except this smacks a little bit more of a schizophrenic computer than AI.

Yeah you c if you want , you can have two parallel  machines um , asking each other. What would that give us ? Would A be something completely weird and strange , and B , i if you look at all the factors , we will never observe people let 's say , in wheelchairs under  you know , in  under all conditions ,

you know , when they say " X " , and there is a ride at the goal , and the parking is good , we can never collect enough data. It 's  it 's  it 's not possible.


Yeah you c if you want , you can have two parallel  machines um , asking each other. What would that give us ? Would A be something completely weird and strange , and B , i if you look at all the factors , we will never observe people let 's say , in wheelchairs under  you know , in  under all conditions ,

you know , when they say " X " , and there is a ride at the goal , and the parking is good , we can never collect enough data. It 's  it 's  it 's not possible.


you know , when they say " X " , and there is a ride at the goal , and the parking is good , we can never collect enough data. It 's  it 's  it 's not possible.

But maybe one could do some learning. If you get the system to speak to itself , you may find n break downs and errors and you may be able to learn. And make it more robust , maybe learn new things. And um , so there 's no  no end of potential things one could get out of it , if that works. And he would like to actually work on that with us.


you know , when they say " X " , and there is a ride at the goal , and the parking is good , we can never collect enough data. It 's  it 's  it 's not possible.

But maybe one could do some learning. If you get the system to speak to itself , you may find n break downs and errors and you may be able to learn. And make it more robust , maybe learn new things. And um , so there 's no  no end of potential things one could get out of it , if that works. And he would like to actually work on that with us.

Well then , he probably should be coming back a year  from now.


But maybe one could do some learning. If you get the system to speak to itself , you may find n break downs and errors and you may be able to learn. And make it more robust , maybe learn new things. And um , so there 's no  no end of potential things one could get out of it , if that works. And he would like to actually work on that with us.

Well then , he probably should be coming back a year  from now.

So Yeah , I w See the  the generation bit , making the system generate  generate something ,  is  shouldn't be too hard.


But maybe one could do some learning. If you get the system to speak to itself , you may find n break downs and errors and you may be able to learn. And make it more robust , maybe learn new things. And um , so there 's no  no end of potential things one could get out of it , if that works. And he would like to actually work on that with us.

Well then , he probably should be coming back a year  from now.

So Yeah , I w See the  the generation bit , making the system generate  generate something ,  is  shouldn't be too hard.

Well , once the system understands things.


Well then , he probably should be coming back a year  from now.

So Yeah , I w See the  the generation bit , making the system generate  generate something ,  is  shouldn't be too hard.

Well , once the system understands things.


So Yeah , I w See the  the generation bit , making the system generate  generate something ,  is  shouldn't be too hard.

Well , once the system understands things.

I just don't think  I think we 're probably a year away from getting the system to understand things.


Well , once the system understands things.

I just don't think  I think we 're probably a year away from getting the system to understand things.

Yeah. Well , if we can get it to understand one thing , like our " where is " run through we can also , maybe , e make it say , or ask " where is X ? " Or not.


I just don't think  I think we 're probably a year away from getting the system to understand things.

Yeah. Well , if we can get it to understand one thing , like our " where is " run through we can also , maybe , e make it say , or ask " where is X ? " Or not.

Mmm , I don't know. e I 'm sort of  have the impression that getting it to say the right thing in the right circumstances is much more difficult than getting it to understand something given the circumstances and so on , you know , I mean just cuz it 's sort of harder to learn to speak correctly in a foreign language , rather than learning to understand it. Right ? I mean


I just don't think  I think we 're probably a year away from getting the system to understand things.

Yeah. Well , if we can get it to understand one thing , like our " where is " run through we can also , maybe , e make it say , or ask " where is X ? " Or not.

Mmm , I don't know. e I 'm sort of  have the impression that getting it to say the right thing in the right circumstances is much more difficult than getting it to understand something given the circumstances and so on , you know , I mean just cuz it 's sort of harder to learn to speak correctly in a foreign language , rather than learning to understand it. Right ? I mean

just the fact that we 'll get  The point is that getting it to understand one construction doesn't mean that it will n always know exactly when it 's correct to use that construction. Right ?


Yeah. Well , if we can get it to understand one thing , like our " where is " run through we can also , maybe , e make it say , or ask " where is X ? " Or not.

Mmm , I don't know. e I 'm sort of  have the impression that getting it to say the right thing in the right circumstances is much more difficult than getting it to understand something given the circumstances and so on , you know , I mean just cuz it 's sort of harder to learn to speak correctly in a foreign language , rather than learning to understand it. Right ? I mean

just the fact that we 'll get  The point is that getting it to understand one construction doesn't mean that it will n always know exactly when it 's correct to use that construction. Right ?

It 's  it 's uh  Well , I 've  I 've done generation and language production research for fo four  four and a half years. And so it 's  it 's  you 're right , it 's not the same as the understanding. It 's in some ways easier and some ways harder. nuh ?


Mmm , I don't know. e I 'm sort of  have the impression that getting it to say the right thing in the right circumstances is much more difficult than getting it to understand something given the circumstances and so on , you know , I mean just cuz it 's sort of harder to learn to speak correctly in a foreign language , rather than learning to understand it. Right ? I mean

just the fact that we 'll get  The point is that getting it to understand one construction doesn't mean that it will n always know exactly when it 's correct to use that construction. Right ?

It 's  it 's uh  Well , I 've  I 've done generation and language production research for fo four  four and a half years. And so it 's  it 's  you 're right , it 's not the same as the understanding. It 's in some ways easier and some ways harder. nuh ?


just the fact that we 'll get  The point is that getting it to understand one construction doesn't mean that it will n always know exactly when it 's correct to use that construction. Right ?

It 's  it 's uh  Well , I 've  I 've done generation and language production research for fo four  four and a half years. And so it 's  it 's  you 're right , it 's not the same as the understanding. It 's in some ways easier and some ways harder. nuh ?

But , um , I think it 'd be fun to look at it , or into that question.


It 's  it 's uh  Well , I 've  I 've done generation and language production research for fo four  four and a half years. And so it 's  it 's  you 're right , it 's not the same as the understanding. It 's in some ways easier and some ways harder. nuh ?

But , um , I think it 'd be fun to look at it , or into that question.


But , um , I think it 'd be fun to look at it , or into that question.

It 's a pretty strange idea. And so that 's  that 's  But


But , um , I think it 'd be fun to look at it , or into that question.

It 's a pretty strange idea. And so that 's  that 's  But

The basic idea I guess would be to give  allow the system to have intentions , basically ? Cuz that 's basically what needs to be added to the system for it.


It 's a pretty strange idea. And so that 's  that 's  But

The basic idea I guess would be to give  allow the system to have intentions , basically ? Cuz that 's basically what needs to be added to the system for it.

Well , look at th eee , I think even  think even  What it  would be the  the prior intention. So let 's uh  uh , let 's say we have this


The basic idea I guess would be to give  allow the system to have intentions , basically ? Cuz that 's basically what needs to be added to the system for it.

Well , look at th eee , I think even  think even  What it  would be the  the prior intention. So let 's uh  uh , let 's say we have this

No. Let 's  we have to  we have some  some top - down processing , given certain setting. OK , now we change nothing , and just say ask something. Right ?


Well , look at th eee , I think even  think even  What it  would be the  the prior intention. So let 's uh  uh , let 's say we have this

No. Let 's  we have to  we have some  some top - down processing , given certain setting. OK , now we change nothing , and just say ask something. Right ?


No. Let 's  we have to  we have some  some top - down processing , given certain setting. OK , now we change nothing , and just say ask something. Right ?


Unless it was in a situation. We 'd have to set up a situation where , it didn't know where something was and it wanted to go there.


Which means that we 'd need to set up an intention inside of the system. Right ? Which is basically , " I don't know where something is and I need to go there ".


Which means that we 'd need to set up an intention inside of the system. Right ? Which is basically , " I don't know where something is and I need to go there ".

Ooh , do we really need to do that ? Because ,


Ooh , do we really need to do that ? Because ,


Ooh , do we really need to do that ? Because ,

s It 's  i I know it 's  it 's strange , but look at it  look at our Bayes - net. If we don't have  Let 's assume we don't have any input from the language. Right ? So there 's also nothing we could query the ontology , but we have a certain user setting. If you just ask , what is the likelihood of that person wanting to enter some  something , it 'll give you an answer.


s It 's  i I know it 's  it 's strange , but look at it  look at our Bayes - net. If we don't have  Let 's assume we don't have any input from the language. Right ? So there 's also nothing we could query the ontology , but we have a certain user setting. If you just ask , what is the likelihood of that person wanting to enter some  something , it 'll give you an answer.

Right ? That 's just how they are. And so , @ @ whatever that is , it 's the generic default intention. That it would find out. Which is , wanting to know where something is , maybe nnn  and wanting  I don't know what it 's gonna be , but there 's gonna be something that


s It 's  i I know it 's  it 's strange , but look at it  look at our Bayes - net. If we don't have  Let 's assume we don't have any input from the language. Right ? So there 's also nothing we could query the ontology , but we have a certain user setting. If you just ask , what is the likelihood of that person wanting to enter some  something , it 'll give you an answer.

Right ? That 's just how they are. And so , @ @ whatever that is , it 's the generic default intention. That it would find out. Which is , wanting to know where something is , maybe nnn  and wanting  I don't know what it 's gonna be , but there 's gonna be something that

Well you 're not gonna  are you gonna get a variety of intentions out of that then ? I mean , you 're just talking about like given this user , what 's the th what is it  what is that user most likely to want to do ?


Right ? That 's just how they are. And so , @ @ whatever that is , it 's the generic default intention. That it would find out. Which is , wanting to know where something is , maybe nnn  and wanting  I don't know what it 's gonna be , but there 's gonna be something that

Well you 're not gonna  are you gonna get a variety of intentions out of that then ? I mean , you 're just talking about like given this user , what 's the th what is it  what is that user most likely to want to do ?

Well you can observe some user and context stuff and ask , what 's the posterior probabilities of all of our decision nodes.


Well you 're not gonna  are you gonna get a variety of intentions out of that then ? I mean , you 're just talking about like given this user , what 's the th what is it  what is that user most likely to want to do ?

Well you can observe some user and context stuff and ask , what 's the posterior probabilities of all of our decision nodes.

You could even say , " let 's take all the priors , let 's observe nothing " , and query all the posterior probabilities. It - it 's gonna tell us something. Right ?


Well you can observe some user and context stuff and ask , what 's the posterior probabilities of all of our decision nodes.

You could even say , " let 's take all the priors , let 's observe nothing " , and query all the posterior probabilities. It - it 's gonna tell us something. Right ?

Well , it will d r assign values to all the nodes. Yes.


You could even say , " let 's take all the priors , let 's observe nothing " , and query all the posterior probabilities. It - it 's gonna tell us something. Right ?

Well , it will d r assign values to all the nodes. Yes.

And  Yes. And come up with posterior probabilities for all the values of the decision nodes. Which , if we have an algorithm that filters out whatever the  the best or the most consistent answer out of that , will give us the intention ex nihilo. And that is exactly what would happen if we ask it to produce an utterance , it would be b based on that extension , ex nihilo , which we don't know what it is , but it 's there. So we wouldn't even have to  t to kick start it by giving it a certain intention or observing anything on the decision node. And whatever that  maybe that would lead to " what is the castle ? " ,


Well , it will d r assign values to all the nodes. Yes.

And  Yes. And come up with posterior probabilities for all the values of the decision nodes. Which , if we have an algorithm that filters out whatever the  the best or the most consistent answer out of that , will give us the intention ex nihilo. And that is exactly what would happen if we ask it to produce an utterance , it would be b based on that extension , ex nihilo , which we don't know what it is , but it 's there. So we wouldn't even have to  t to kick start it by giving it a certain intention or observing anything on the decision node. And whatever that  maybe that would lead to " what is the castle ? " ,


And  Yes. And come up with posterior probabilities for all the values of the decision nodes. Which , if we have an algorithm that filters out whatever the  the best or the most consistent answer out of that , will give us the intention ex nihilo. And that is exactly what would happen if we ask it to produce an utterance , it would be b based on that extension , ex nihilo , which we don't know what it is , but it 's there. So we wouldn't even have to  t to kick start it by giving it a certain intention or observing anything on the decision node. And whatever that  maybe that would lead to " what is the castle ? " ,

I guess what I 'm afraid of is if we don't , you know , set up a  situation ,  we 'll just get a bunch of garbage out , like you know , everything 's exactly thirty percent.


I guess what I 'm afraid of is if we don't , you know , set up a  situation ,  we 'll just get a bunch of garbage out , like you know , everything 's exactly thirty percent.


I guess what I 'm afraid of is if we don't , you know , set up a  situation ,  we 'll just get a bunch of garbage out , like you know , everything 's exactly thirty percent.

Yeah. So what we actually then need to do is  is write a little script that changes all the settings , you know , go goes through all the permutations , which is  we did a  didn't we calculate that once ?


Yeah. So what we actually then need to do is  is write a little script that changes all the settings , you know , go goes through all the permutations , which is  we did a  didn't we calculate that once ?

Well that was  that was absurdly low , in the last meeting ,


Well that was  that was absurdly low , in the last meeting ,

cuz I went and looked at it cuz I was thinking , that could not be right , and it would  it was on the order of twenty output nodes and something like twenty


cuz I went and looked at it cuz I was thinking , that could not be right , and it would  it was on the order of twenty output nodes and something like twenty


So to test every output node , uh , would at least  Let 's see , so it would be two to the thirty for every output node ? Which is very th very large.


So to test every output node , uh , would at least  Let 's see , so it would be two to the thirty for every output node ? Which is very th very large.

that 's  that 's nothing for those neural guys. I mean , they train for millions and millions of epochs.


that 's  that 's nothing for those neural guys. I mean , they train for millions and millions of epochs.


that 's  that 's nothing for those neural guys. I mean , they train for millions and millions of epochs.

Oh , I was gonna take a drink of my water. I 'm talking about billions and billions and billions and a number  two to the thirty is like a Bhaskara said , we had calculated out and Bhaskara believes that it 's larger than the number of particles in the universe. And if i


Oh , I was gonna take a drink of my water. I 'm talking about billions and billions and billions and a number  two to the thirty is like a Bhaskara said , we had calculated out and Bhaskara believes that it 's larger than the number of particles in the universe. And if i

I don't know if that 's right or not. Th - that 's big. That 's just  That 's uh  It 's a billion , right ?


Oh , I was gonna take a drink of my water. I 'm talking about billions and billions and billions and a number  two to the thirty is like a Bhaskara said , we had calculated out and Bhaskara believes that it 's larger than the number of particles in the universe. And if i

I don't know if that 's right or not. Th - that 's big. That 's just  That 's uh  It 's a billion , right ?

Two to the thirty ? Well , two to the thirty is a billion , but if we have to do it two to the twenty times , then that 's a very very large number.


Oh , I was gonna take a drink of my water. I 'm talking about billions and billions and billions and a number  two to the thirty is like a Bhaskara said , we had calculated out and Bhaskara believes that it 's larger than the number of particles in the universe. And if i

I don't know if that 's right or not. Th - that 's big. That 's just  That 's uh  It 's a billion , right ?

Two to the thirty ? Well , two to the thirty is a billion , but if we have to do it two to the twenty times , then that 's a very very large number.

Right. Argh. Oh , OK. Yeah. Yeah , that 's big.


I don't know if that 's right or not. Th - that 's big. That 's just  That 's uh  It 's a billion , right ?

Two to the thirty ? Well , two to the thirty is a billion , but if we have to do it two to the twenty times , then that 's a very very large number.

Right. Argh. Oh , OK. Yeah. Yeah , that 's big.

Cuz you have to query the node , for every a uh , or query the net two to the twenty times.


Two to the thirty ? Well , two to the thirty is a billion , but if we have to do it two to the twenty times , then that 's a very very large number.

Right. Argh. Oh , OK. Yeah. Yeah , that 's big.

Cuz you have to query the node , for every a uh , or query the net two to the twenty times.


Right. Argh. Oh , OK. Yeah. Yeah , that 's big.

Cuz you have to query the node , for every a uh , or query the net two to the twenty times.

Or not two to th excuse me , twenty times.


Cuz you have to query the node , for every a uh , or query the net two to the twenty times.

Or not two to th excuse me , twenty times.

OK. So , is it t comes to twenty billion or something ?


Or not two to th excuse me , twenty times.

OK. So , is it t comes to twenty billion or something ?


OK. So , is it t comes to twenty billion or something ?

That 's @ @  That 's big. Actually  Oh ! We calculated a different number before. How did we do that ?


That 's @ @  That 's big. Actually  Oh ! We calculated a different number before. How did we do that ?


That 's @ @  That 's big. Actually  Oh ! We calculated a different number before. How did we do that ?

I remember there being some other one floating around. But anyway , uh.


I remember there being some other one floating around. But anyway , uh.

Yeah , it 's g Anyway , the point is that given all of these different factors , it 's uh e it 's  it 's still going to be impossible to run through all of the possible situations or whatever.


Yeah , it 's g Anyway , the point is that given all of these different factors , it 's uh e it 's  it 's still going to be impossible to run through all of the possible situations or whatever.

But I mean , this 'll get us a bit closer at least , right ? I mean.


Yeah , it 's g Anyway , the point is that given all of these different factors , it 's uh e it 's  it 's still going to be impossible to run through all of the possible situations or whatever.

But I mean , this 'll get us a bit closer at least , right ? I mean.

If it takes us a second to do , for each one , and let 's say it 's twenty billion ,  then that 's twenty billion seconds , which is


But I mean , this 'll get us a bit closer at least , right ? I mean.

If it takes us a second to do , for each one , and let 's say it 's twenty billion ,  then that 's twenty billion seconds , which is


If it takes us a second to do , for each one , and let 's say it 's twenty billion ,  then that 's twenty billion seconds , which is


Hours and hours and hours and hours. But we can do randomized testing.


Hours and hours and hours and hours. But we can do randomized testing.

Which probabilistically will be good enough.


Hours and hours and hours and hours. But we can do randomized testing.

Which probabilistically will be good enough.

Mm - hmm. Yeah. So , it be it it 's an idea that one could n for  for example run  run past , um , what 's that guy 's name ? You know ? He - he 's usually here. Tsk. J J Jer - Jerj


Which probabilistically will be good enough.

Mm - hmm. Yeah. So , it be it it 's an idea that one could n for  for example run  run past , um , what 's that guy 's name ? You know ? He - he 's usually here. Tsk. J J Jer - Jerj


Which probabilistically will be good enough.

Mm - hmm. Yeah. So , it be it it 's an idea that one could n for  for example run  run past , um , what 's that guy 's name ? You know ? He - he 's usually here. Tsk. J J Jer - Jerj

Oh , yeah. That 's the guy. We  we  we  we g


Mm - hmm. Yeah. So , it be it it 's an idea that one could n for  for example run  run past , um , what 's that guy 's name ? You know ? He - he 's usually here. Tsk. J J Jer - Jerj

Oh , yeah. That 's the guy. We  we  we  we g


Oh , yeah. That 's the guy. We  we  we  we g


And um. so this is just an idea that 's floating around and we 'll see what happens. And um , hmm , what other news do I have ? Well we fixed some more things from the SmartKom system , but that 's not really of general interest , Um , Oh ! Questions , yeah. I 'll ask Eva about the E Bayes and she 's working on that. How is the generation XML thing ?


And um. so this is just an idea that 's floating around and we 'll see what happens. And um , hmm , what other news do I have ? Well we fixed some more things from the SmartKom system , but that 's not really of general interest , Um , Oh ! Questions , yeah. I 'll ask Eva about the E Bayes and she 's working on that. How is the generation XML thing ?

I 'm gonna work on that today and tomorrow.


And um. so this is just an idea that 's floating around and we 'll see what happens. And um , hmm , what other news do I have ? Well we fixed some more things from the SmartKom system , but that 's not really of general interest , Um , Oh ! Questions , yeah. I 'll ask Eva about the E Bayes and she 's working on that. How is the generation XML thing ?

I 'm gonna work on that today and tomorrow.

OK. No need to do it today or tomorrow even. Do it next week or


And um. so this is just an idea that 's floating around and we 'll see what happens. And um , hmm , what other news do I have ? Well we fixed some more things from the SmartKom system , but that 's not really of general interest , Um , Oh ! Questions , yeah. I 'll ask Eva about the E Bayes and she 's working on that. How is the generation XML thing ?

I 'm gonna work on that today and tomorrow.

OK. No need to do it today or tomorrow even. Do it next week or

I 'm gonna finish it today , uh hopefully.


I 'm gonna work on that today and tomorrow.

OK. No need to do it today or tomorrow even. Do it next week or

I 'm gonna finish it today , uh hopefully.


OK. No need to do it today or tomorrow even. Do it next week or

I 'm gonna finish it today , uh hopefully.

I wanna do one of those things where I stay here. Cuz uh , if I go home , I can't finish it. I 've tried about five times so far , where I work for a while and then I 'm like , I 'm hungry. So I go home , and then I think


I 'm gonna finish it today , uh hopefully.

I wanna do one of those things where I stay here. Cuz uh , if I go home , I can't finish it. I 've tried about five times so far , where I work for a while and then I 'm like , I 'm hungry. So I go home , and then I think


I wanna do one of those things where I stay here. Cuz uh , if I go home , I can't finish it. I 've tried about five times so far , where I work for a while and then I 'm like , I 'm hungry. So I go home , and then I think

Yeah. Either that or I think to myself , I can work at home. And then I try to work at home , but I fail miserably.


Yeah. Either that or I think to myself , I can work at home. And then I try to work at home , but I fail miserably.


No. I almost got into a brawl. But I did not finish the uh , But I 've been looking into it. I th @ @ It 's not like it 's a blank slate. I found everything that I need and stu and uh ,


No. I almost got into a brawl. But I did not finish the uh , But I 've been looking into it. I th @ @ It 's not like it 's a blank slate. I found everything that I need and stu and uh ,

At the b uh furthermore , I told Jerry that I was gonna finish it before he got back. So.


At the b uh furthermore , I told Jerry that I was gonna finish it before he got back. So.

That 's approaching. He 's coming back when ? Uh next


At the b uh furthermore , I told Jerry that I was gonna finish it before he got back. So.

That 's approaching. He 's coming back when ? Uh next

Well , I think  we think we 'll see him definitely on Tuesday for the next  Or , no , wait. The meetings are on Thursday.


That 's approaching. He 's coming back when ? Uh next

Well , I think  we think we 'll see him definitely on Tuesday for the next  Or , no , wait. The meetings are on Thursday.


Well , I think  we think we 'll see him definitely on Tuesday for the next  Or , no , wait. The meetings are on Thursday.


I think I will try to work on the SmartKom stuff and I 'll  if I can finish it today , I 'll help you with that tomorrow , if you work on it ? I don't have a problem with us working on it though ? So.


I mean we just  I mean it wouldn't hurt to write up a paper , cuz then , I mean , yeah  I was talking with Nancy and Nancy said , you don't know whether you have a paper to  write up until you write it up. So.


I mean we just  I mean it wouldn't hurt to write up a paper , cuz then , I mean , yeah  I was talking with Nancy and Nancy said , you don't know whether you have a paper to  write up until you write it up. So.

And since Jerry 's coming back , we can run it by him too. So.


And since Jerry 's coming back , we can run it by him too. So.


And since Jerry 's coming back , we can run it by him too. So.

Well , um , I don't have much experience with uh , conference papers for compu in the computer science realm , and so when I looked at what you had , which was apparently a complete submission , I just sort of said what  just  I  I didn't really know what to do with it , like , this is the sort of the basic outline of the system or whatever , or  or " here 's an idea " , right ? That 's what that paper was , " here 's  here 's one possible thing you could do " ,


Well , um , I don't have much experience with uh , conference papers for compu in the computer science realm , and so when I looked at what you had , which was apparently a complete submission , I just sort of said what  just  I  I didn't really know what to do with it , like , this is the sort of the basic outline of the system or whatever , or  or " here 's an idea " , right ? That 's what that paper was , " here 's  here 's one possible thing you could do " ,

short , eight pages , and I just don't know what you have in mind for expanding. Like I 'd  I  what I didn't do is go to the web site of the conference and look at what they 're looking for or whatever.


short , eight pages , and I just don't know what you have in mind for expanding. Like I 'd  I  what I didn't do is go to the web site of the conference and look at what they 're looking for or whatever.

Wait , is this a computer science conference or is it a


short , eight pages , and I just don't know what you have in mind for expanding. Like I 'd  I  what I didn't do is go to the web site of the conference and look at what they 're looking for or whatever.

Wait , is this a computer science conference or is it a

Um , well it 's more  It 's both , right ? It 's  it 's sort of t cognitive , neural , psycho , linguistic , but all for the sake of doing computer science. So it 's sort of cognitive , psycho , neural , plausibly motivated , architectures of natural language processing. So it seems pretty interdisciplinary , and I mean , w w the keynote speaker is Tomasello and blah - blah - blah ,


Wait , is this a computer science conference or is it a

Um , well it 's more  It 's both , right ? It 's  it 's sort of t cognitive , neural , psycho , linguistic , but all for the sake of doing computer science. So it 's sort of cognitive , psycho , neural , plausibly motivated , architectures of natural language processing. So it seems pretty interdisciplinary , and I mean , w w the keynote speaker is Tomasello and blah - blah - blah ,


Wait , is this a computer science conference or is it a

Um , well it 's more  It 's both , right ? It 's  it 's sort of t cognitive , neural , psycho , linguistic , but all for the sake of doing computer science. So it 's sort of cognitive , psycho , neural , plausibly motivated , architectures of natural language processing. So it seems pretty interdisciplinary , and I mean , w w the keynote speaker is Tomasello and blah - blah - blah ,

so , W the  the question is what could we actually do and  and  and keep a straight face while doing it.


Um , well it 's more  It 's both , right ? It 's  it 's sort of t cognitive , neural , psycho , linguistic , but all for the sake of doing computer science. So it 's sort of cognitive , psycho , neural , plausibly motivated , architectures of natural language processing. So it seems pretty interdisciplinary , and I mean , w w the keynote speaker is Tomasello and blah - blah - blah ,

so , W the  the question is what could we actually do and  and  and keep a straight face while doing it.

Well , I really can't keep a straight face doing anything.


so , W the  the question is what could we actually do and  and  and keep a straight face while doing it.

Well , I really can't keep a straight face doing anything.


Well , I really can't keep a straight face doing anything.

well , you can say we have done a little bit and that 's this , and uh sort of the rest is position paper , " we wanna also do that ". Which is not too good. Might be more interesting to do something like let 's assume um , we 're right , we have as Jerry calls it , a delusion of adequacy , and take a " where is X " sentence ,


well , you can say we have done a little bit and that 's this , and uh sort of the rest is position paper , " we wanna also do that ". Which is not too good. Might be more interesting to do something like let 's assume um , we 're right , we have as Jerry calls it , a delusion of adequacy , and take a " where is X " sentence ,


well , you can say we have done a little bit and that 's this , and uh sort of the rest is position paper , " we wanna also do that ". Which is not too good. Might be more interesting to do something like let 's assume um , we 're right , we have as Jerry calls it , a delusion of adequacy , and take a " where is X " sentence ,

and say , " we will just talk about this , and how we cognitively , neurally , psycho - linguistically , construction grammar - ally , motivated , envision uh , understanding that ".


and say , " we will just talk about this , and how we cognitively , neurally , psycho - linguistically , construction grammar - ally , motivated , envision uh , understanding that ".

So we can actually show how we parse it. That should be able to  we should be able to come up with , you know , a sort of a  a parse.


So we can actually show how we parse it. That should be able to  we should be able to come up with , you know , a sort of a  a parse.


Well , he just told me that you came looking for me.


You will suffer in hell , you know that.


You will suffer in hell , you know that.

Backwards. There 's a s diagram somewhere which tells you how to put that


You will suffer in hell , you know that.

Backwards. There 's a s diagram somewhere which tells you how to put that

I know , I didn't understand that either !


You will suffer in hell , you know that.

Backwards. There 's a s diagram somewhere which tells you how to put that

I know , I didn't understand that either !

No wait. You have to put it on exactly like that ,


Backwards. There 's a s diagram somewhere which tells you how to put that

I know , I didn't understand that either !

No wait. You have to put it on exactly like that ,


I know , I didn't understand that either !

No wait. You have to put it on exactly like that ,

so put that  those things over your ears like that.


No wait. You have to put it on exactly like that ,

so put that  those things over your ears like that.


so put that  those things over your ears like that.

See the p how the plastic things ar arch out like that ? There we go.


See the p how the plastic things ar arch out like that ? There we go.


But that 's what you get for coming late to the meeting.


But that 's what you get for coming late to the meeting.

I 'm sorry. I 'm sorry , oh these are all the same. OK ! th this is not very  on target.


I 'm sorry. I 'm sorry , oh these are all the same. OK ! th this is not very  on target.


Alright , you guys can continue talking about whatever you were talking about before.


Alright , you guys can continue talking about whatever you were talking about before.

We 're talking about this um , alleged paper that we may , just , sort of w


Alright , you guys can continue talking about whatever you were talking about before.

We 're talking about this um , alleged paper that we may , just , sort of w

Oh ! Which Johno mentioned to me. Uh - huh.


We 're talking about this um , alleged paper that we may , just , sort of w

Oh ! Which Johno mentioned to me. Uh - huh.

Yeah. And I just sort of brought forth the idea that we take a sentence , " Where is the Powder - Tower " ,


Oh ! Which Johno mentioned to me. Uh - huh.

Yeah. And I just sort of brought forth the idea that we take a sentence , " Where is the Powder - Tower " ,

and we  we p pretend to parse it , we pretend to understand it , and we write about it.


Yeah. And I just sort of brought forth the idea that we take a sentence , " Where is the Powder - Tower " ,

and we  we p pretend to parse it , we pretend to understand it , and we write about it.


and we  we p pretend to parse it , we pretend to understand it , and we write about it.

What 's the part that 's not pretend ? The writing ?


What 's the part that 's not pretend ? The writing ?

The submitting to a major international conference.   Yeah.


The submitting to a major international conference.   Yeah.

It 's the whatever , architectures , eh you know , where  There is this conference , it 's the seventh already international conference , on neu neurally , cognitively , motivated , architectures of natural language processing.


It 's the whatever , architectures , eh you know , where  There is this conference , it 's the seventh already international conference , on neu neurally , cognitively , motivated , architectures of natural language processing.

And the keynote speakers are Tomasello , MacWhinney ?


And the keynote speakers are Tomasello , MacWhinney ?


And the keynote speakers are Tomasello , MacWhinney ?

So , interesting , both , like , child language people.


So , interesting , both , like , child language people.


Yeah , maybe I wanna go. Um , why are they speaking at it if it


Yeah , maybe I wanna go. Um , why are they speaking at it if it

is  is it normally like  like , dialogue systems , or , you know , other NLP - ish things ?


Yeah , maybe I wanna go. Um , why are they speaking at it if it

is  is it normally like  like , dialogue systems , or , you know , other NLP - ish things ?

No no no no no no no no. It 's  it 's like a


is  is it normally like  like , dialogue systems , or , you know , other NLP - ish things ?

No no no no no no no no. It 's  it 's like a


No no no no no no no no. It 's  it 's like a

And uh , both learning and like , comprehension , production , that kinda stuff.


And uh , both learning and like , comprehension , production , that kinda stuff.

Psycho.  You could look at the web site.


Psycho.  You could look at the web site.


And the ad and  and the deadline is the fifteenth of June.


It would be nice to go write two papers actually. Yeah. And one  one from your perspective , and one from our peve per per


It would be nice to go write two papers actually. Yeah. And one  one from your perspective , and one from our peve per per

Mm - hmm. I mean , th that 's the kinda thing that maybe like , um , the general uh con sort of like NTL - ish like , whatever , the previous simulation based pers  maybe you 're talking about the same kind of thing. A general paper about the approach here would probably be appropriate. And good to do at some point anyway.


Mm - hmm. I mean , th that 's the kinda thing that maybe like , um , the general uh con sort of like NTL - ish like , whatever , the previous simulation based pers  maybe you 're talking about the same kind of thing. A general paper about the approach here would probably be appropriate. And good to do at some point anyway.

Well , I  I also think that if we sort of write about what we have done in the past six months , we  we  we could sort of craft a nice little paper that  if it gets rejected , which could happen , doesn't hurt


Well , I  I also think that if we sort of write about what we have done in the past six months , we  we  we could sort of craft a nice little paper that  if it gets rejected , which could happen , doesn't hurt


It 's a nice exercise , it 's  I usually enjoy writing papers. It 's not  I don't re regard it as a painful thing.


It 's a nice exercise , it 's  I usually enjoy writing papers. It 's not  I don't re regard it as a painful thing.

And um , we should all do more for our publication lists. And. It just never hurts. And Keith and - or Johno will go , probably.


And um , we should all do more for our publication lists. And. It just never hurts. And Keith and - or Johno will go , probably.


It 's on the twenty second of September , in Saarbruecken Germany.


It 's on the twenty second of September , in Saarbruecken Germany.

Ah , it 's in Germany. Ah , OK. I s I see. Tomasello 's already in Germany anyway , so makes sense. OK.


It 's on the twenty second of September , in Saarbruecken Germany.

Ah , it 's in Germany. Ah , OK. I s I see. Tomasello 's already in Germany anyway , so makes sense. OK.

Um. OK. So , is the  What  Are you just talking about you know , the details of how to do it , or whether to do it , or what it would be ?


Ah , it 's in Germany. Ah , OK. I s I see. Tomasello 's already in Germany anyway , so makes sense. OK.

Um. OK. So , is the  What  Are you just talking about you know , the details of how to do it , or whether to do it , or what it would be ?

What would one possibly put in such a paper ?


Um. OK. So , is the  What  Are you just talking about you know , the details of how to do it , or whether to do it , or what it would be ?

What would one possibly put in such a paper ?


What would one possibly put in such a paper ?

What is our  what 's our take home message. What  what do we actually  Because I mean , it  I don't like papers where you just talk about what you plan to do. I mean , it 's obvious that we can't do any kind of evaluation , and have no  you know , we can't write an ACL type paper where we say , " OK , we 've done this


What is our  what 's our take home message. What  what do we actually  Because I mean , it  I don't like papers where you just talk about what you plan to do. I mean , it 's obvious that we can't do any kind of evaluation , and have no  you know , we can't write an ACL type paper where we say , " OK , we 've done this


What is our  what 's our take home message. What  what do we actually  Because I mean , it  I don't like papers where you just talk about what you plan to do. I mean , it 's obvious that we can't do any kind of evaluation , and have no  you know , we can't write an ACL type paper where we say , " OK , we 've done this

and now we 're whatever percentage better than everybody else ". You know.


and now we 're whatever percentage better than everybody else ". You know.

It 's far too early for that. But uh , we  we can tell them what we think. I mean that 's  never hurts to try. And um , maybe even  That 's maybe the time to introduce the  the new formalism that you guys have cooked up.


It 's far too early for that. But uh , we  we can tell them what we think. I mean that 's  never hurts to try. And um , maybe even  That 's maybe the time to introduce the  the new formalism that you guys have cooked up.


don't they need to finish the formalism ?


Well , you said it was four thousand lines ?


Well , you said it was four thousand lines ?

OK. Four pages is , like , really not very much space.


OK. Four pages is , like , really not very much space.

I don't know w Did you look at it ? Yeah , it depends on the format.


OK. Four pages is , like , really not very much space.

I don't know w Did you look at it ? Yeah , it depends on the format.

Oh my gosh. Oh , I thought you were  I thought we were talking about something which was much more like ten or something.


OK. Four pages is , like , really not very much space.

I don't know w Did you look at it ? Yeah , it depends on the format.

Oh my gosh. Oh , I thought you were  I thought we were talking about something which was much more like ten or something.

No that 's  I mean that 's actually a problem. It 's difficu it 's more difficult to write on four pages than on eight.


I don't know w Did you look at it ? Yeah , it depends on the format.

Oh my gosh. Oh , I thought you were  I thought we were talking about something which was much more like ten or something.

No that 's  I mean that 's actually a problem. It 's difficu it 's more difficult to write on four pages than on eight.


Oh my gosh. Oh , I thought you were  I thought we were talking about something which was much more like ten or something.

No that 's  I mean that 's actually a problem. It 's difficu it 's more difficult to write on four pages than on eight.


No that 's  I mean that 's actually a problem. It 's difficu it 's more difficult to write on four pages than on eight.

And it 's also difficult to  even if you had a lot of substance , it 's hard to demonstrate that in four pages , basically.


And it 's also difficult to  even if you had a lot of substance , it 's hard to demonstrate that in four pages , basically.


Well I uh maybe it 's just four thousand lines. I do I don't  They don't want any  They don't have a TeX f style @ @ guide.


Well I uh maybe it 's just four thousand lines. I do I don't  They don't want any  They don't have a TeX f style @ @ guide.

They just want ASCII. Pure ASCII lines ,


They just want ASCII. Pure ASCII lines ,


I don't know. I don't know. Very unspecific unfortunately.


I don't know. I don't know. Very unspecific unfortunately.

I would say that 's closer to six pages actually. Four thousand lines of ASCII ?


I would say that 's closer to six pages actually. Four thousand lines of ASCII ?


I would say that 's closer to six pages actually. Four thousand lines of ASCII ?

Four thousand lines. I mean. Isn't a isn't it about fifty s fifty five , sixty lines to a page ?


I would say that 's closer to six pages actually. Four thousand lines of ASCII ?

Four thousand lines. I mean. Isn't a isn't it about fifty s fifty five , sixty lines to a page ?

I d don't quote me on this. This is numbers I  I have from looking o


Four thousand lines. I mean. Isn't a isn't it about fifty s fifty five , sixty lines to a page ?

I d don't quote me on this. This is numbers I  I have from looking o


I d don't quote me on this. This is numbers I  I have from looking o


Let 's  let 's  wh wh what should we  should  should we uh , um , discuss this over tea and all of us look at the web ? Oh , I can't. I 'm wizarding today.


Look at the web page and let 's talk about it maybe tomorrow afternoon ?


Look at the web page and let 's talk about it maybe tomorrow afternoon ?

More cues for us to find it are like , neural cons


More cues for us to find it are like , neural cons


By the way , Keith is comfortable with us calling him " cool Keith ".


By the way , Keith is comfortable with us calling him " cool Keith ".

He  he decided  I 'm chilling in the five - one - O.


He  he decided  I 'm chilling in the five - one - O.


I 'm flying to Sicily next  in a w two weeks from now ,


I 'm flying to Sicily next  in a w two weeks from now ,

w and a week of business in Germany. I should mention that for you. And otherwise you haven't missed much , except for a really weird idea , but you 'll hear about that soon enough.


I 'm flying to Sicily next  in a w two weeks from now ,

w and a week of business in Germany. I should mention that for you. And otherwise you haven't missed much , except for a really weird idea , but you 'll hear about that soon enough.

The idea that you and I already know about ? That you already told me ? Not that  OK.


w and a week of business in Germany. I should mention that for you. And otherwise you haven't missed much , except for a really weird idea , but you 'll hear about that soon enough.

The idea that you and I already know about ? That you already told me ? Not that  OK.

No , no , no. Yeah , that is something for the rest of the gang to  to g


w and a week of business in Germany. I should mention that for you. And otherwise you haven't missed much , except for a really weird idea , but you 'll hear about that soon enough.

The idea that you and I already know about ? That you already told me ? Not that  OK.

No , no , no. Yeah , that is something for the rest of the gang to  to g

The thing with the goats and the helicopters ?


The idea that you and I already know about ? That you already told me ? Not that  OK.

No , no , no. Yeah , that is something for the rest of the gang to  to g

The thing with the goats and the helicopters ?

Change the watchband. It 's time to walk the sheep.


No , no , no. Yeah , that is something for the rest of the gang to  to g

The thing with the goats and the helicopters ?

Change the watchband. It 's time to walk the sheep.


The thing with the goats and the helicopters ?

Change the watchband. It 's time to walk the sheep.


Change the watchband. It 's time to walk the sheep.

Um. Did you catch that allusion ? It 's time to walk the sheep ?


Um. Did you catch that allusion ? It 's time to walk the sheep ?


Um. Did you catch that allusion ? It 's time to walk the sheep ?

It 's a a uh presumably one of the Watergate codes they uh


It 's a a uh presumably one of the Watergate codes they uh

Anyways , th um , um , don't make any plans for spring break next year. That 's


Anyways , th um , um , don't make any plans for spring break next year. That 's

That 's the other thing. We 're gonna do an int EDU internal workshop in Sicily.


That 's the other thing. We 're gonna do an int EDU internal workshop in Sicily.


Does that mean  Does that mean you 'll get  you 'll fly us there ?


Does that mean  Does that mean you 'll get  you 'll fly us there ?

No , that 's  Yeah , that 's what it means.


No , that 's  Yeah , that 's what it means.


I know  I know about that part. I know about the  the almond trees and stuff. Not joking.


I know  I know about that part. I know about the  the almond trees and stuff. Not joking.

Name a vegetable , OK.  Oh , um , kiwi ?


Name a vegetable , OK.  Oh , um , kiwi ?


Pineapple. See ? Mango ? OK. OK. Too easy ?


Oh. OK , but I was trying to find something that he didn't grow on his farm.


Oh. OK , but I was trying to find something that he didn't grow on his farm.

But coconut anana pineapple , that 's  that 's tricky , yeah.


Oh. OK , but I was trying to find something that he didn't grow on his farm.

But coconut anana pineapple , that 's  that 's tricky , yeah.

So , but we have to decide what , like , sort of the general idea of


But coconut anana pineapple , that 's  that 's tricky , yeah.

So , but we have to decide what , like , sort of the general idea of


So , but we have to decide what , like , sort of the general idea of

Um , I mean , we 're gonna have an example case um , right ? I m the  the point is to  like this " where is " case , or something.


So , but we have to decide what , like , sort of the general idea of

Um , I mean , we 're gonna have an example case um , right ? I m the  the point is to  like this " where is " case , or something.

Yeah , maybe you have  It would be kind of  The paper ha would have , in my vision , a nice flow if we could say , well here is th the  th here is parsing if you wanna do it c right , here is understanding if you wanna do it right , and you know  without going into technical


Um , I mean , we 're gonna have an example case um , right ? I m the  the point is to  like this " where is " case , or something.

Yeah , maybe you have  It would be kind of  The paper ha would have , in my vision , a nice flow if we could say , well here is th the  th here is parsing if you wanna do it c right , here is understanding if you wanna do it right , and you know  without going into technical


Um , I mean , we 're gonna have an example case um , right ? I m the  the point is to  like this " where is " case , or something.

Yeah , maybe you have  It would be kind of  The paper ha would have , in my vision , a nice flow if we could say , well here is th the  th here is parsing if you wanna do it c right , here is understanding if you wanna do it right , and you know  without going into technical

But then in the end we 're not doing like those things right yet , right ? Would that be clear in the paper or not ?


Yeah , maybe you have  It would be kind of  The paper ha would have , in my vision , a nice flow if we could say , well here is th the  th here is parsing if you wanna do it c right , here is understanding if you wanna do it right , and you know  without going into technical

But then in the end we 're not doing like those things right yet , right ? Would that be clear in the paper or not ?


But then in the end we 're not doing like those things right yet , right ? Would that be clear in the paper or not ?


But then in the end we 're not doing like those things right yet , right ? Would that be clear in the paper or not ?

I  I mailed around a little paper that I have


I  I mailed around a little paper that I have

It would be like , this is the idea. Oh , I didn't get that ,


It would be like , this is the idea. Oh , I didn't get that ,


See this , if you if you 're not around , and don't partake in the discussions , and you don't get any email ,


See this , if you if you 're not around , and don't partake in the discussions , and you don't get any email ,

I 'm sorry. I 'm sorry , I 'm sorry. Sorry.


See this , if you if you 're not around , and don't partake in the discussions , and you don't get any email ,

I 'm sorry. I 'm sorry , I 'm sorry. Sorry.

OK , go on. So parsing done right  is like chicken done right.


I 'm sorry. I 'm sorry , I 'm sorry. Sorry.

OK , go on. So parsing done right  is like chicken done right.

Su So we could  we could say this is what  what 's sort of state of the art today. Nuh ?


OK , go on. So parsing done right  is like chicken done right.

Su So we could  we could say this is what  what 's sort of state of the art today. Nuh ?


Su So we could  we could say this is what  what 's sort of state of the art today. Nuh ?


And then we can say , uh well what we do is this.


And then we can say , uh well what we do is this.

Parsing done right , interpretation done right , example.


Parsing done right , interpretation done right , example.


Parsing done right , interpretation done right , example.

And how much to get into the cognitive neural part ?


Parsing done right , interpretation done right , example.

And how much to get into the cognitive neural part ?

That 's the only  That 's the question mark.


And how much to get into the cognitive neural part ?

That 's the only  That 's the question mark.


And how much to get into the cognitive neural part ?

That 's the only  That 's the question mark.

Don't you need to reduce it if it 's a  or reduce it , if it 's a cognitive neuro


That 's the only  That 's the question mark.

Don't you need to reduce it if it 's a  or reduce it , if it 's a cognitive neuro

Well , you don't have t I mean the conference may be cognitive neural , doesn't mean that every paper has to be both. Like , NLP cognitive neural.


Don't you need to reduce it if it 's a  or reduce it , if it 's a cognitive neuro

Well , you don't have t I mean the conference may be cognitive neural , doesn't mean that every paper has to be both. Like , NLP cognitive neural.

Yeah , and you can  you can just point to the  to the literature ,


Well , you don't have t I mean the conference may be cognitive neural , doesn't mean that every paper has to be both. Like , NLP cognitive neural.

Yeah , and you can  you can just point to the  to the literature ,

you can say that construction - based You know


Yeah , and you can  you can just point to the  to the literature ,

you can say that construction - based You know

So i so this paper wouldn't particularly deal with that side although it could reference the NTL - ish sort of , like , um , approach.


you can say that construction - based You know

So i so this paper wouldn't particularly deal with that side although it could reference the NTL - ish sort of , like , um , approach.


So i so this paper wouldn't particularly deal with that side although it could reference the NTL - ish sort of , like , um , approach.


The fact that the methods here are all compatible with or designed to be compatible with whatever , neurological  neuro neuro - biol su stuff.


The fact that the methods here are all compatible with or designed to be compatible with whatever , neurological  neuro neuro - biol su stuff.

Yeah , I guess four pages you could  I mean you could definitely  it 's definitely possible to do it. It 's just  It 'd just be small. Like introducing the formalism might be not really possible in detail , but you can use an example of it.


The fact that the methods here are all compatible with or designed to be compatible with whatever , neurological  neuro neuro - biol su stuff.

Yeah , I guess four pages you could  I mean you could definitely  it 's definitely possible to do it. It 's just  It 'd just be small. Like introducing the formalism might be not really possible in detail , but you can use an example of it.

Well , l looking at  yeah , looking at that paper that  that you had , I mean you know , like , you didn't really explain in detail what was going on in the XML cases or whatever you just sorta said well , you know , here 's the general idea , some stuff gets put in there. You know , hopefully you can  you can say something like constituents tells you what the construction is made out of , you know , without going into this intense detail.


Yeah , I guess four pages you could  I mean you could definitely  it 's definitely possible to do it. It 's just  It 'd just be small. Like introducing the formalism might be not really possible in detail , but you can use an example of it.

Well , l looking at  yeah , looking at that paper that  that you had , I mean you know , like , you didn't really explain in detail what was going on in the XML cases or whatever you just sorta said well , you know , here 's the general idea , some stuff gets put in there. You know , hopefully you can  you can say something like constituents tells you what the construction is made out of , you know , without going into this intense detail.

Yeah , yeah. So it be like using the formalism rather than you know , introducing it per se.


Well , l looking at  yeah , looking at that paper that  that you had , I mean you know , like , you didn't really explain in detail what was going on in the XML cases or whatever you just sorta said well , you know , here 's the general idea , some stuff gets put in there. You know , hopefully you can  you can say something like constituents tells you what the construction is made out of , you know , without going into this intense detail.

Yeah , yeah. So it be like using the formalism rather than you know , introducing it per se.


Yeah , yeah. So it be like using the formalism rather than you know , introducing it per se.

Give them the one paragraph whirlwind tour of w w what this is for ,


Give them the one paragraph whirlwind tour of w w what this is for ,


And people will sort of figure out or ask about the bits that are implicit.


And people will sort of figure out or ask about the bits that are implicit.

Yeah. So this will be sort of documenting what we think , and documenting what we have in terms of the Bayes - net stuff.


And people will sort of figure out or ask about the bits that are implicit.

Yeah. So this will be sort of documenting what we think , and documenting what we have in terms of the Bayes - net stuff.

And since there 's never a bad idea to document things , no ?


Yeah. So this will be sort of documenting what we think , and documenting what we have in terms of the Bayes - net stuff.

And since there 's never a bad idea to document things , no ?

That 's th that 's definitely a good idea.


And since there 's never a bad idea to document things , no ?

That 's th that 's definitely a good idea.

That would be my , uh  We  we should sketch out the details maybe tomorrow afternoon - ish , if everyone is around. I don't know. You probably wouldn't be part of it.


That 's th that 's definitely a good idea.

That would be my , uh  We  we should sketch out the details maybe tomorrow afternoon - ish , if everyone is around. I don't know. You probably wouldn't be part of it.

Maybe you want ? Think about it. Um , You may  may ruin your career forever , if you appear.


That would be my , uh  We  we should sketch out the details maybe tomorrow afternoon - ish , if everyone is around. I don't know. You probably wouldn't be part of it.

Maybe you want ? Think about it. Um , You may  may ruin your career forever , if you appear.


Maybe you want ? Think about it. Um , You may  may ruin your career forever , if you appear.

And um , the uh , other thing , yeah we actually  Have we made any progress on what we decided , uh , last week ? I 'm sure you read the transcript of last week 's meeting in red so sh so you 're up to dated  caught up.


And um , the uh , other thing , yeah we actually  Have we made any progress on what we decided , uh , last week ? I 'm sure you read the transcript of last week 's meeting in red so sh so you 're up to dated  caught up.

We decided t that we 're gonna take a " where is something " question , and pretend we have parsed it , and see what we could possibly hope to observe on the discourse side.


And um , the uh , other thing , yeah we actually  Have we made any progress on what we decided , uh , last week ? I 'm sure you read the transcript of last week 's meeting in red so sh so you 're up to dated  caught up.

We decided t that we 're gonna take a " where is something " question , and pretend we have parsed it , and see what we could possibly hope to observe on the discourse side.

Remember I came in and I started asking you about how we were sor going to sort out the uh , decision nodes ?


We decided t that we 're gonna take a " where is something " question , and pretend we have parsed it , and see what we could possibly hope to observe on the discourse side.

Remember I came in and I started asking you about how we were sor going to sort out the uh , decision nodes ?


We decided t that we 're gonna take a " where is something " question , and pretend we have parsed it , and see what we could possibly hope to observe on the discourse side.

Remember I came in and I started asking you about how we were sor going to sort out the uh , decision nodes ?

I remember you talking to me , just not what you said.


Remember I came in and I started asking you about how we were sor going to sort out the uh , decision nodes ?

I remember you talking to me , just not what you said.

I do remember you talking to me. Um , a few more bits.


I remember you talking to me , just not what you said.

I do remember you talking to me. Um , a few more bits.

Well , there was like we needed to  or uh , in my opinion we need to design a Bayes  another sub - Bayes - net  You know , it was whether  it was whether we would have a Bayes - net on the output and on the input ,


I do remember you talking to me. Um , a few more bits.

Well , there was like we needed to  or uh , in my opinion we need to design a Bayes  another sub - Bayes - net  You know , it was whether  it was whether we would have a Bayes - net on the output and on the input ,

or whether the construction was gonna be in the Bayes - net ,


Well , there was like we needed to  or uh , in my opinion we need to design a Bayes  another sub - Bayes - net  You know , it was whether  it was whether we would have a Bayes - net on the output and on the input ,

or whether the construction was gonna be in the Bayes - net ,


or whether the construction was gonna be in the Bayes - net ,


So that was  was that the question ? Was that what


So that was  was that the question ? Was that what

Well that was related to what we were talking about.


So that was  was that the question ? Was that what

Well that was related to what we were talking about.

Should I introduce it as SUDO - square ?


Well that was related to what we were talking about.

Should I introduce it as SUDO - square ?

We have to put this in the paper. If we write it. This is  this is my only constraint. The  th So. The SUDO - square  is ,  " Situation " , " User " , " Discourse " , right ? " Ontology ".


Should I introduce it as SUDO - square ?

We have to put this in the paper. If we write it. This is  this is my only constraint. The  th So. The SUDO - square  is ,  " Situation " , " User " , " Discourse " , right ? " Ontology ".


We have to put this in the paper. If we write it. This is  this is my only constraint. The  th So. The SUDO - square  is ,  " Situation " , " User " , " Discourse " , right ? " Ontology ".


Someone 's gonna start making Phil Collins jokes.


that horrible , horrible song that should never have been created.


that horrible , horrible song that should never have been created.

I 've blocked every aspect of Phil Collins out of my mind.


I 've blocked every aspect of Phil Collins out of my mind.


Oh   Well , also he 's talking about suicide , and that 's  that 's not a notion I wanna have evoked.


Anyway. So , what 's going on here ? So what are  what


Anyway. So , what 's going on here ? So what are  what

Was wollte der Kuenstler uns damit sagen ?


Was wollte der Kuenstler uns damit sagen ?

OK , so we have tons of little things here ,


Was wollte der Kuenstler uns damit sagen ?

OK , so we have tons of little things here ,

I can't believe that that 's never been thought of before.


OK , so we have tons of little things here ,

I can't believe that that 's never been thought of before.


OK , so we have tons of little things here ,

I can't believe that that 's never been thought of before.

Wait , what are the dots ? I don't remember what the dots were.


I can't believe that that 's never been thought of before.

Wait , what are the dots ? I don't remember what the dots were.


Wait , what are the dots ? I don't remember what the dots were.


You know , these are our , whatever , belief - net decision nodes , and they all contribute to these   things down here.


You know , these are our , whatever , belief - net decision nodes , and they all contribute to these   things down here.

Wait , wait , what 's the middle thing ?


Wait , wait , what 's the middle thing ?


Well , in the moment it 's a Bayes - net. And it has sort of fifty not - yet - specified interfaces. OK. Eh  I have taken care that we actually can build little interfaces ,  to other modules that will tell us whether the user likes these things and , n the  or these things , and he  whether he 's in a wheelchair or not ,


Well , in the moment it 's a Bayes - net. And it has sort of fifty not - yet - specified interfaces. OK. Eh  I have taken care that we actually can build little interfaces ,  to other modules that will tell us whether the user likes these things and , n the  or these things , and he  whether he 's in a wheelchair or not ,

OK. Is that supposed to be the international sign for interface ?


OK. Is that supposed to be the international sign for interface ?


No , this is a RME core by agent design , I don't know.


No , this is a RME core by agent design , I don't know.

So wait , what a what are these letters again , Situr -  Situation , User , Discourse and


So wait , what a what are these letters again , Situr -  Situation , User , Discourse and


Oh , discourse. So that 's not like context , OK.


Oh , discourse. So that 's not like context , OK.

Discourse is all things linguistic , yeah.


Oh , discourse. So that 's not like context , OK.

Discourse is all things linguistic , yeah.

So this  this includes the  the current utterance plus all the previous utterances.


Discourse is all things linguistic , yeah.

So this  this includes the  the current utterance plus all the previous utterances.


Discourse is all things linguistic , yeah.

So this  this includes the  the current utterance plus all the previous utterances.

And for example w i s I Irena Gurevich is going to be here eh , end of July.


So this  this includes the  the current utterance plus all the previous utterances.

And for example w i s I Irena Gurevich is going to be here eh , end of July.


And for example w i s I Irena Gurevich is going to be here eh , end of July.

She 's a new linguist working for EML. And what she would like to do for example is great for us. She would like to take the ent ontolog


She 's a new linguist working for EML. And what she would like to do for example is great for us. She would like to take the ent ontolog

So , we have discussed in terms of the EVA


So , we have discussed in terms of the EVA


So , we have discussed in terms of the EVA

Did you just say grateful for us ? OK , sorry. Anyway.


Did you just say grateful for us ? OK , sorry. Anyway.

Think of  back at the EVA vector , and Johno coming up with the idea that if the person discussed the  discussed the admission fee , in  eh previously , that might be a good indication that , " how do I get to the castle ? " , actually he wants to enter.


Did you just say grateful for us ? OK , sorry. Anyway.

Think of  back at the EVA vector , and Johno coming up with the idea that if the person discussed the  discussed the admission fee , in  eh previously , that might be a good indication that , " how do I get to the castle ? " , actually he wants to enter.

Or , you know , " how do I get to X ? " discussing the admission fee in the previous utterance , is a good indication.


Think of  back at the EVA vector , and Johno coming up with the idea that if the person discussed the  discussed the admission fee , in  eh previously , that might be a good indication that , " how do I get to the castle ? " , actually he wants to enter.

Or , you know , " how do I get to X ? " discussing the admission fee in the previous utterance , is a good indication.


Or , you know , " how do I get to X ? " discussing the admission fee in the previous utterance , is a good indication.

So we don't want a hard code , a set of lexemes , or things , that person 's you know , sort of filter , or uh search the discourse history.


So we don't want a hard code , a set of lexemes , or things , that person 's you know , sort of filter , or uh search the discourse history.

So what would be kind of cool is that if we encounter concepts that are castle , tower , bank , hotel , we run it through the ontology , and the ontology tells us it has um , admission , opening times , it has admission fees , it has this , it has that , and then we  we  we make a thesaurus lexicon , look up , and then search dynamically through the uh , discourse history for  occurrences of these things in a given window of utterances.


So what would be kind of cool is that if we encounter concepts that are castle , tower , bank , hotel , we run it through the ontology , and the ontology tells us it has um , admission , opening times , it has admission fees , it has this , it has that , and then we  we  we make a thesaurus lexicon , look up , and then search dynamically through the uh , discourse history for  occurrences of these things in a given window of utterances.

And that might , you know , give us additional input to belief A versus B. Or E versus A.


So what would be kind of cool is that if we encounter concepts that are castle , tower , bank , hotel , we run it through the ontology , and the ontology tells us it has um , admission , opening times , it has admission fees , it has this , it has that , and then we  we  we make a thesaurus lexicon , look up , and then search dynamically through the uh , discourse history for  occurrences of these things in a given window of utterances.

And that might , you know , give us additional input to belief A versus B. Or E versus A.

So it 's not just a particular word 's  OK , so the  you 're looking for a few keys that you know are cues to  sorry , a few specific cues to some intention.


And that might , you know , give us additional input to belief A versus B. Or E versus A.

So it 's not just a particular word 's  OK , so the  you 're looking for a few keys that you know are cues to  sorry , a few specific cues to some intention.

You can dynamically look up keys , yeah.


So it 's not just a particular word 's  OK , so the  you 're looking for a few keys that you know are cues to  sorry , a few specific cues to some intention.

You can dynamically look up keys , yeah.


You can dynamically look up keys , yeah.

Uh , so , wait  so um , since this  since this sort of technical stuff is going over my head ,


Uh , so , wait  so um , since this  since this sort of technical stuff is going over my head ,


Uh , so , wait  so um , since this  since this sort of technical stuff is going over my head ,

the  the point is that you uh  that when someone 's talking about a castle , you know that it 's the sort of thing that people are likely to wanna go into ? Or , is it the fact that if there 's an admission fee , then one of the things we know about admission fees is that you pay them in order to go in ? And then the idea of entering is active in the discourse or something ? And then


the  the point is that you uh  that when someone 's talking about a castle , you know that it 's the sort of thing that people are likely to wanna go into ? Or , is it the fact that if there 's an admission fee , then one of the things we know about admission fees is that you pay them in order to go in ? And then the idea of entering is active in the discourse or something ? And then


The idea is to say , we encounter a certain entity in a  in a in a utterance. So le let 's look up everything we  the ontology gives us about that entity , what stuff it does , what roles it has , what parts , whatever it has. Functions. And , then we look in the discourse , whether any of that , or any surface structure corresponding to these roles , functions aaa  has ever occurred.


The idea is to say , we encounter a certain entity in a  in a in a utterance. So le let 's look up everything we  the ontology gives us about that entity , what stuff it does , what roles it has , what parts , whatever it has. Functions. And , then we look in the discourse , whether any of that , or any surface structure corresponding to these roles , functions aaa  has ever occurred.

And then , the discourse history can t tell us , " yeah " , or " no ".


And then , the discourse history can t tell us , " yeah " , or " no ".

And then it 's up for us to decide what to do with it. t So i


And then it 's up for us to decide what to do with it. t So i

So , we may think that if you say um ,   " where is the theater " , um , whether or not he has talked about tickets before , then we  he 's probably wanna go there to see something.


So , we may think that if you say um ,   " where is the theater " , um , whether or not he has talked about tickets before , then we  he 's probably wanna go there to see something.

Or " where is the opera in Par - Paris ? ,


Or " where is the opera in Par - Paris ? ,

yeah ? Lots of people go to the opera to take pictures of it and to look at it ,


yeah ? Lots of people go to the opera to take pictures of it and to look at it ,

and lots of people go to attend a performance.


and lots of people go to attend a performance.

And , the discourse can maybe tell us w what 's more likely if we know what to look for in previous statements. And so we can hard code " for opera , look for tickets , look for this , look for that ,


And , the discourse can maybe tell us w what 's more likely if we know what to look for in previous statements. And so we can hard code " for opera , look for tickets , look for this , look for that ,

or look for Mozart , look for thi " but the smarter way is to go via the ontology and dynamically , then look up u stuff.


And , the discourse can maybe tell us w what 's more likely if we know what to look for in previous statements. And so we can hard code " for opera , look for tickets , look for this , look for that ,

or look for Mozart , look for thi " but the smarter way is to go via the ontology and dynamically , then look up u stuff.

OK. But you 're still doing look up so that when the person  So the point is that when the person says , " where is it ? " then you sort of say , let 's go back and look at other things and then decide , rather than the other possibility which is that  all through discourse as they talk about different things  You know like w prior to the " where is it " question they say , you know , " how much does it cost to get in , you know , to  to see a movie around here " , um ,  " where is the closest theater "  The  the  the point is that by mentioning admission fees , that just sort of stays active now.


or look for Mozart , look for thi " but the smarter way is to go via the ontology and dynamically , then look up u stuff.

OK. But you 're still doing look up so that when the person  So the point is that when the person says , " where is it ? " then you sort of say , let 's go back and look at other things and then decide , rather than the other possibility which is that  all through discourse as they talk about different things  You know like w prior to the " where is it " question they say , you know , " how much does it cost to get in , you know , to  to see a movie around here " , um ,  " where is the closest theater "  The  the  the point is that by mentioning admission fees , that just sort of stays active now.


or look for Mozart , look for thi " but the smarter way is to go via the ontology and dynamically , then look up u stuff.

OK. But you 're still doing look up so that when the person  So the point is that when the person says , " where is it ? " then you sort of say , let 's go back and look at other things and then decide , rather than the other possibility which is that  all through discourse as they talk about different things  You know like w prior to the " where is it " question they say , you know , " how much does it cost to get in , you know , to  to see a movie around here " , um ,  " where is the closest theater "  The  the  the point is that by mentioning admission fees , that just sort of stays active now.

You know. That becomes part of like , their sort of current ongoing active conceptual structure.


OK. But you 're still doing look up so that when the person  So the point is that when the person says , " where is it ? " then you sort of say , let 's go back and look at other things and then decide , rather than the other possibility which is that  all through discourse as they talk about different things  You know like w prior to the " where is it " question they say , you know , " how much does it cost to get in , you know , to  to see a movie around here " , um ,  " where is the closest theater "  The  the  the point is that by mentioning admission fees , that just sort of stays active now.

You know. That becomes part of like , their sort of current ongoing active conceptual structure.


You know. That becomes part of like , their sort of current ongoing active conceptual structure.

And then , um , over in your Bayes - net or whatever , when  when the person says " where is it " , you 've already got , you know since they were talking about admission , and that evokes the idea of entering , um , then when they go and ask " where is it " , then you 're Enter node is already active


And then , um , over in your Bayes - net or whatever , when  when the person says " where is it " , you 've already got , you know since they were talking about admission , and that evokes the idea of entering , um , then when they go and ask " where is it " , then you 're Enter node is already active

because that 's what the person is thinking about.


because that 's what the person is thinking about.

I mean that 's the sort of cognitive linguistic - y way ,


because that 's what the person is thinking about.

I mean that 's the sort of cognitive linguistic - y way ,

Yeah , e ultimately that 's also what we wanna get at.


I mean that 's the sort of cognitive linguistic - y way ,

Yeah , e ultimately that 's also what we wanna get at.


I mean that 's the sort of cognitive linguistic - y way ,

Yeah , e ultimately that 's also what we wanna get at.

I think that 's  that 's the correct way. So , of course we have to keep memory of what was the last intention , and how does it fit to this , and what does it tell us , in terms of  of the  the  what we 're examining.


Yeah , e ultimately that 's also what we wanna get at.

I think that 's  that 's the correct way. So , of course we have to keep memory of what was the last intention , and how does it fit to this , and what does it tell us , in terms of  of the  the  what we 're examining.


I think that 's  that 's the correct way. So , of course we have to keep memory of what was the last intention , and how does it fit to this , and what does it tell us , in terms of  of the  the  what we 're examining.

And furthermore , I mean we can idealize that , you know , people don't change topics ,


And furthermore , I mean we can idealize that , you know , people don't change topics ,

but they do. But , even th for that , there is a student of ours who 's doing a dialogue act um , recognition module.


but they do. But , even th for that , there is a student of ours who 's doing a dialogue act um , recognition module.

So , maybe , we 're even in a position where we can take your approach , which is of course much better , as to say how  how do these pieces


So , maybe , we 're even in a position where we can take your approach , which is of course much better , as to say how  how do these pieces


Yeah. How  how do these pieces fit together ? Uh - huh. And um. But , OK , nevertheless. So these are issues but we  what we actually decided last week , is to , and this is , again , for your benefit  is to um , pretend we have observed and parsed an utterance such as " where is the Powder - Tower " , or " where is the zoo " , and specify um , what  what we think the  the output uh , observe , out  i input nodes for our Bayes - nets for the sub sub - D , for the discourse bit , should be. So that  And I will  I will then   come up with the ontology side uh , bits and pieces , so that we can say , OK we  we always just look at this utterance. That 's the only utterance we can do , it 's hard coded , like Srini , sort of hand parsed , hand crafted , but this is what we hope to be able to observe in general from utterances , and from ontologies , and then we can sort of fiddle with these things to see what it actually produces , in terms of output.


Yeah. How  how do these pieces fit together ? Uh - huh. And um. But , OK , nevertheless. So these are issues but we  what we actually decided last week , is to , and this is , again , for your benefit  is to um , pretend we have observed and parsed an utterance such as " where is the Powder - Tower " , or " where is the zoo " , and specify um , what  what we think the  the output uh , observe , out  i input nodes for our Bayes - nets for the sub sub - D , for the discourse bit , should be. So that  And I will  I will then   come up with the ontology side uh , bits and pieces , so that we can say , OK we  we always just look at this utterance. That 's the only utterance we can do , it 's hard coded , like Srini , sort of hand parsed , hand crafted , but this is what we hope to be able to observe in general from utterances , and from ontologies , and then we can sort of fiddle with these things to see what it actually produces , in terms of output.

So we need to find out what the " where is X " construction will give us in terms of semantics and  Simspec type things.


So we need to find out what the " where is X " construction will give us in terms of semantics and  Simspec type things.


Yeah. No ! Um , look at it this way , i Yeah. What did we decide. We decided sort of the  the prototypical " where is X " , where you know , we don't really know , does he wanna go there , or just wanna know where it is.


Yeah. No ! Um , look at it this way , i Yeah. What did we decide. We decided sort of the  the prototypical " where is X " , where you know , we don't really know , does he wanna go there , or just wanna know where it is.

So the difference of " where is the railway station " , versus where  where  " where is Greenland ". Nuh ?


So the difference of " where is the railway station " , versus where  where  " where is Greenland ". Nuh ?


So , um , we 're supposed to  I mean we 're talking about sort of anything that has the semantics of request for location , right ? actually ? Or , I mean , anyway , the node in the uh  the ultimate , uh , in  in the Bayes - net thing when you 're done , the  the node that we 're talking about um , is one that says " request for location , true " , or something like that , right ? Um , and  and exactly how that gets activated , you know , like whether we want the sentence " how do I get there ? " to activate that node or not , you know , that 's  that 's sort of the issue that sort of the linguistic - y side has to deal with , right ?


So , um , we 're supposed to  I mean we 're talking about sort of anything that has the semantics of request for location , right ? actually ? Or , I mean , anyway , the node in the uh  the ultimate , uh , in  in the Bayes - net thing when you 're done , the  the node that we 're talking about um , is one that says " request for location , true " , or something like that , right ? Um , and  and exactly how that gets activated , you know , like whether we want the sentence " how do I get there ? " to activate that node or not , you know , that 's  that 's sort of the issue that sort of the linguistic - y side has to deal with , right ?

Yeah , but it  Yea - Nnn Well actually more  m more the other way around. We wanted something that represents uncertainty uh we in terms of going there or just wanting to know where it is , for example. Some generic information.


So , um , we 're supposed to  I mean we 're talking about sort of anything that has the semantics of request for location , right ? actually ? Or , I mean , anyway , the node in the uh  the ultimate , uh , in  in the Bayes - net thing when you 're done , the  the node that we 're talking about um , is one that says " request for location , true " , or something like that , right ? Um , and  and exactly how that gets activated , you know , like whether we want the sentence " how do I get there ? " to activate that node or not , you know , that 's  that 's sort of the issue that sort of the linguistic - y side has to deal with , right ?

Yeah , but it  Yea - Nnn Well actually more  m more the other way around. We wanted something that represents uncertainty uh we in terms of going there or just wanting to know where it is , for example. Some generic information.

And so this is prototypically @ @ found in the " where is something " question , surface structure ,


Yeah , but it  Yea - Nnn Well actually more  m more the other way around. We wanted something that represents uncertainty uh we in terms of going there or just wanting to know where it is , for example. Some generic information.

And so this is prototypically @ @ found in the " where is something " question , surface structure ,


And so this is prototypically @ @ found in the " where is something " question , surface structure ,


And so this is prototypically @ @ found in the " where is something " question , surface structure ,

which can be p you know , should be maps to something that activates both. I mean the idea is to


which can be p you know , should be maps to something that activates both. I mean the idea is to


let 's have it fit nicely with the paper.


let 's have it fit nicely with the paper.

I don't see unde how we would be able to distinguish between the two intentions just from the g utterance , though.


let 's have it fit nicely with the paper.

I don't see unde how we would be able to distinguish between the two intentions just from the g utterance , though.

I mean , uh bef or , before we don't  before we cranked it through the Bayes - net. I mean.


I don't see unde how we would be able to distinguish between the two intentions just from the g utterance , though.

I mean , uh bef or , before we don't  before we cranked it through the Bayes - net. I mean.

Yeah , we  we wouldn't. That 's exactly what we want.


I mean , uh bef or , before we don't  before we cranked it through the Bayes - net. I mean.

Yeah , we  we wouldn't. That 's exactly what we want.


Yeah , we  we wouldn't. That 's exactly what we want.

OK , but then so basically it 's just a  for every construction we have a node in the net , right ? And we turn on that node.


OK , but then so basically it 's just a  for every construction we have a node in the net , right ? And we turn on that node.


And then given that we know that  the construction  has these two things , we can set up probabilities  we can s basically define all the tables for ev for those


And then given that we know that  the construction  has these two things , we can set up probabilities  we can s basically define all the tables for ev for those

Yeah , it should be  So we have um , i let 's assume we  we call something like a loc - X node and a path - X node. And what we actually get if we just look at the discourse , " where is X " should activate or should


And then given that we know that  the construction  has these two things , we can set up probabilities  we can s basically define all the tables for ev for those

Yeah , it should be  So we have um , i let 's assume we  we call something like a loc - X node and a path - X node. And what we actually get if we just look at the discourse , " where is X " should activate or should

Hmm. Should be both , whereas maybe " where is X located " , we find from the data , is always just asked when the person wants to know where it is , and " how do I get to " is always asked when the person just wants to know how to get there. Right ? So we want to sort of come up with what gets uh , input , and how inter in case of a " where is " question. So what  what would the outcome of  of your parser look like ? And , what other discourse information from the discourse history could we hope to get , squeeze out of that utterance ? So define the  the input into the Bayes - net  based on what the utterance , " where is X " , gives us. So definitely have an Entity node here which is activated via the ontology ,


Yeah , it should be  So we have um , i let 's assume we  we call something like a loc - X node and a path - X node. And what we actually get if we just look at the discourse , " where is X " should activate or should

Hmm. Should be both , whereas maybe " where is X located " , we find from the data , is always just asked when the person wants to know where it is , and " how do I get to " is always asked when the person just wants to know how to get there. Right ? So we want to sort of come up with what gets uh , input , and how inter in case of a " where is " question. So what  what would the outcome of  of your parser look like ? And , what other discourse information from the discourse history could we hope to get , squeeze out of that utterance ? So define the  the input into the Bayes - net  based on what the utterance , " where is X " , gives us. So definitely have an Entity node here which is activated via the ontology ,

so " where is X " produces something that is s stands for X , whether it 's castle , bank , restroom , toilet , whatever. And then the ontology will tell us


Hmm. Should be both , whereas maybe " where is X located " , we find from the data , is always just asked when the person wants to know where it is , and " how do I get to " is always asked when the person just wants to know how to get there. Right ? So we want to sort of come up with what gets uh , input , and how inter in case of a " where is " question. So what  what would the outcome of  of your parser look like ? And , what other discourse information from the discourse history could we hope to get , squeeze out of that utterance ? So define the  the input into the Bayes - net  based on what the utterance , " where is X " , gives us. So definitely have an Entity node here which is activated via the ontology ,

so " where is X " produces something that is s stands for X , whether it 's castle , bank , restroom , toilet , whatever. And then the ontology will tell us

That it has a location or something like that ?  or th the ontology will tell us where actually it is located ?


so " where is X " produces something that is s stands for X , whether it 's castle , bank , restroom , toilet , whatever. And then the ontology will tell us

That it has a location or something like that ?  or th the ontology will tell us where actually it is located ?


That it has a location or something like that ?  or th the ontology will tell us where actually it is located ?

Where it is located , we have , a user proximity node here somewhere ,


Where it is located , we have , a user proximity node here somewhere ,


Where it is located , we have , a user proximity node here somewhere ,

e which tells us how far the user  how far away the user is in respect to that uh entity.


Where it is located , we have , a user proximity node here somewhere ,

e which tells us how far the user  how far away the user is in respect to that uh entity.

OK. So you 're talking about , for instance , the construction obviously involves this entity or refers  refers to this entity ,


e which tells us how far the user  how far away the user is in respect to that uh entity.

OK. So you 're talking about , for instance , the construction obviously involves this entity or refers  refers to this entity ,


e which tells us how far the user  how far away the user is in respect to that uh entity.

OK. So you 're talking about , for instance , the construction obviously involves this entity or refers  refers to this entity ,

and from the construction also you know that it is a location  is  or a thing  thing that can be located. Right ? Ontology says this thing has a location slot. Sh - and that 's the thing that is being  that is the content of the question that 's being queried by one interpretation of " where is X ". And another one is , um , path from current  user current location to  that location.


OK. So you 're talking about , for instance , the construction obviously involves this entity or refers  refers to this entity ,

and from the construction also you know that it is a location  is  or a thing  thing that can be located. Right ? Ontology says this thing has a location slot. Sh - and that 's the thing that is being  that is the content of the question that 's being queried by one interpretation of " where is X ". And another one is , um , path from current  user current location to  that location.


and from the construction also you know that it is a location  is  or a thing  thing that can be located. Right ? Ontology says this thing has a location slot. Sh - and that 's the thing that is being  that is the content of the question that 's being queried by one interpretation of " where is X ". And another one is , um , path from current  user current location to  that location.

So. So is the question  I mean it 's just that I 'm not sure what the  Is the question , for this particular construction how we specify that that 's the information it provides ? Or  or asked for ? b Both sides , right ?