Re: Introductions ...

Hi Nishant,

Do you have example dialogues for the cake  vendor scenario? I found some info on the confluence architecture [1], but only at the level of named boxes. I couldn’t find any explanatory details on NVBG other than it relying on XML.  It doesn’t look like it is inspired by work in cognitive science, though.

[1] https://confluence.ict.usc.edu/display/VHTK/Architecture <https://confluence.ict.usc.edu/display/VHTK/Architecture>

Best’
Dave

> On 4 Feb 2020, at 16:27, Nishant Shukla <shukla@dm.ai> wrote:
> 
> Thanks Dave,
> 
> That sounds like a great idea. A vendor/client relationship has some well-defined communication patterns, and lends itself to be modelled algorithmically. 
> 
> Speaking of modelling dialogue, I've studied a concrete example of a chatbot that sells cakes [1] by Dr. Morbini (back when he worked at the University of Southern California). 
> I've rewritten some of the dialogue in DMScript [2], and can further convert DMScript to chunks easily, since both share the concept of chaining rules to resolve a goal.
> 
> I'm considering writing that cake-vendor scenario using chunks for the NLD demo in the GitHub repo. What do you think?
> 
> [1] https://github.com/fmorbini/jmNL/blob/846dfebc339ea5b30487ef483fe50c8b151a0b05/resources/characters/CakeVendor/dm/textFormat/policy.txt <https://github.com/fmorbini/jmNL/blob/846dfebc339ea5b30487ef483fe50c8b151a0b05/resources/characters/CakeVendor/dm/textFormat/policy.txt>
> [2] https://github.com/conversational-interfaces/dms-scratchpad/blob/master/examples/cakevendor.dms <https://github.com/conversational-interfaces/dms-scratchpad/blob/master/examples/cakevendor.dms>
> 
> 
> On Fri, Jan 31, 2020 at 12:05 AM Dave Raggett <dsr@w3.org <mailto:dsr@w3.org>> wrote:
> Hi Nishant,
> 
> Your help would be welcome in respect to work on natural language dialogues. I am proposing to first work on a demo where the language usage and meaning is clear and well understood, in this case for the dialogue involved in ordering a meal at a restaurant. This will allow us to work on representing the meaning and the semantic processing needed to support the dialogue, including disambiguation of word senses, and finding the most appropriate bindings for prepositions, pronouns etc.
> 
> Computational linguists have emphasised linguistic processing over semantics, but with a cognitive model we can redress the balance, and simplify the lexicon accordingly, along with reducing the amount of statistical data commonly associated with statistical parsing.  You can see more at:
> 
>  https://github.com/w3c/cogai/blob/master/demos/nld/README.md <https://github.com/w3c/cogai/blob/master/demos/nld/README.md>
> 
> Note that further demos would look at how cognitive agents can mimic human abilities to learn new language patterns from small numbers of examples.
> 
> Best regards,
> 
> Dave Raggett <dsr@w3.org <mailto:dsr@w3.org>> http://www.w3.org/People/Raggett <http://www.w3.org/People/Raggett>
> W3C Data Activity Lead & W3C champion for the Web of things 
> 
> 
> 
> 
> 
> -- 
> Nishant Shukla
> DMAI, Inc.
> 707-574-8552 | Schedule <https://calendar.google.com/calendar/embed?src=shukla%40dm.ai&ctz=America%2FLos_Angeles>

Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett
W3C Data Activity Lead & W3C champion for the Web of things