Nice OK to to good handle Right Yeah have never Goats handled eat them cans to my understanding Did we Tin to cans these things Wow OK Could I hit hit to do that on the Robert Oh the remote will do it OK Cuz already up there in control here You are in control Already Wow all so high tech here Yet another p PowerPoint presentation I Well it makes it easier to do Certainly does So we were Ah Johno where are you OK So see Which one of these buttons will do this for me Aha OK Should you go back to the first one Do Well back to the first one OK sorry I Well I mean just to OK Introduce Yeah um Well the search for the middle layer basically uh I can read talks kidding uh It just refers to the fact that uh one of main things we had to do was to decide what the intermediate sort of nodes were you know because really want to find out what about you have to click on the little light bulb Although never I don't know what the light bulb is for I didn't i install that into my PowerPoint presentation It opens the Assistant that tells you that the font type is too small Ah Do Ach you u prefer not to OK Continue a needless good idea Is that the idea Why OK are you doing this in this mode and not in the presentation mode Because gonna switch to the JavaBayes OK Of course program and then if I do that mess I everything wondering Is that OK Yeah OK Sure Can you maximize the window Proceed You want me to Wait what do you want me to do Can you maximize the window so all that stuff on the side isn't doesn't No appear OK Well I can work do that but then I have to end the presentation in the middle so I can go back to open up OK fine Here see if I can Alright Very nice Is that better Yeah OK Uh also get rid of this Click to add notes OK Perfect So then the features we decided or we decided we were talked about right Uh the the prosody the discourse verb choice You know We had a list of things like to go and to visit and what not The of uh I knew like Nice coinage Thank you uh of a of a building Whether the and this i we actually have a separate feature but I decided to put it on the same line for space Nice walls which we can look up because I mean if gonna get real close to a building in the Tango mode right gotta be a reason for it And either because in route to something else or you wanna look at the walls The context which in this case limited to business person tourist or unknown the time of day and open to suggestions isn't actually a feature We are open to suggestions can I just ask the nice walls part of it is that uh in this particular domain you said be i it could be on two different lines but are you saying that in this particular domain it happens the that cor No Oh is We correlated separate with separate things their feature nice w OK Yeah I either could put nice walls on its own line And or open and to suggestions have off p nice slide mean You Like you could have a post office with uh you know nice murals or something Right OK Or So I was nice this walls is a stand in for like architecturally it uh significant Architecturally see like appealing that from if the outside OK Yeah but if architecturally significant you might be able to see it from Like you m might be able to Vista it right And be able to Appreciate it Yeah versus like I was at this place in Europe where they had little carvings of like dead people on the walls or something I don't remember w It was a long time ago lot of those But if you looked at it real close you could see the the in intricacy of the of the walls OK So that count as counts as a nice wall Right The OK Right Something The want to inspect at close range Exactly because interesting OK Hmm Robert Well there there is a term often used saliency or the salience of an object And I was just wondering whether the same as what you describe as But really not I mean an object Hmm salient but Not a landmark not all landmark at all landmark for um touristic reasons and landmark for I don't know navigational reasons Right Yep something we meant uh touristic reasons Yeah OK Hmm Right OK but you can imagine maybe wanting the oth both kinds of things Hmm there for different um goals Yeah Right Right But Yeah landmarks also happen to be Wouldn't couldn't they also be not exclusive groups are they Like Or it can be als landmarks and not mutually navigational Yeah Right OK Right Definitely OK So our initial idea was not very satisfying because uh our initial idea was basically all the features pointing to the output node Uh So a big flat structure Right Right Yep And uh so we Reasons being you know be a pain to set up all the probabilities for that If we moved onto the next step and did learning of some sort uh according Bhaskara be handicapped I don't know Well usually I mean very you well N If you have N features then two to the N or exponential in N And they wouldn't look pretty So Yeah all be like pointing to the one node Uh So then our next idea was to add a middle layer right So the thinking behind that was we have the features that drawn from the communication of some Like the someone s The person at the screen is trying to communicate some abstract idea like the the abstract idea being I am a tourist I want to go to this place Right So gonna set up features along the lines of where they want to go and what said previously and whatnot And then we have the means that they should use Right but the middle thing we were thinking along the lines of maybe trying to figure out like the concept of whether a tourist or whether running an errand or something like that along those lines Or Yes we could things we couldn't extract the from the data the hidden variables Yes good So then the hidden variables hair variables we came up with were whether someone was on a tour running an errand or whether they were in a hurry because we were thinking uh if they were in a hurry be less likely to like Want to or do th Vista right Because Right