On Wed, Nov 2, 2016 at 1:49 AM, André Senna wrote:
> Man Hin, do you think SuReal will work with this simplification?
>
>
I am not sure... I'll find out what is minimally required for sureal to
generate sentences
> 2016-10-31 18:57 GMT-02:00 Linas Vepstas :
>
>>
>>
>> On Fri, Oct 28, 2016 at
Hi Matt,
haven't forgotten about your bot, its here I have to find a moment.
I don't know what Senna is using but there are a bunch of
wikipedia-article-parsing & management scripts here:
https://github.com/opencog/relex/tree/master/src/perl U sed to use those
scripts to strip out html markup, a
On Fri, Oct 28, 2016 at 7:15 PM, Ben Goertzel wrote:
> Senna has made the best start for this, I think, via writing code to
> import Simple English Wikipedia into the Atomspace, and saving a bunch
> of these Atoms in postgres...
>
Where is this code? I didn't find it browsing through the github
On Fri, Oct 28, 2016 at 9:15 PM, Ben Goertzel wrote:
>
>
> Be aware however that parsing Simple English Wikipedia currently
> results in a lot of Atoms, i.e. way more than you're gonna fit in RAM
> one one machine unless you have a supercomputer...
>
Really? That's wrong. I am guessing that is b
Hi Tom,
Hmm, it's true that the best Atomspaces I'm aware of are for
proprietary projects (a Hanson Robotics one with some
robot-character-personality stuff; and one for a consulting project
that has a customer's product catalogue and related info loaded into
it...)
There is a bio-Atomspace with
Specifically - I am trying to do the formalization of the legal knowledge
and I find it necessary to use the real-world concepts, e.g. formalization
of the VAT tax law requires ontologies of goods, of delivery terms, of
company types. It would be easier to contribute in already existing
knowled
