On Wed, Nov 2, 2016 at 1:49 AM, André Senna <[email protected]> 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 <[email protected]>:
>
>>
>>
>> On Fri, Oct 28, 2016 at 9:15 PM, Ben Goertzel <[email protected]> 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 because every single
>> sentence was stored, and that is a mistake: instead, we should extract
>> plausible meanings for words, and keep only those, and discard the
>> individual words.
>>
>> I discovered -- what maybe 5 or more years ago -- that the LG disjuncts
>> correlate very well with word-meanings.    Thus, I would recommend the
>> following "beginner" database:  parse SEW, assign to each word its
>> "meaning" , i.e. its disjunct, and then keep only the network of these word
>> "meanings".  Discard all the individual word instances.
>>
>> I bet the result of that would fit in 8GB, and would be an adequate rough
>> cut as input to PLN.  I doubt that it would be any worse, in terms of data
>> quality, than, say, WordNet or FrameNet.  It would probably be higher
>> quality, is my guess, based on previously fumbling with this stuff.
>>
>> --linas
>>
>>
>>
>
>
> --
> Andre Senna
> IGENESIS - http://www.igenesis.com.br
> (31) 9120 3292
>

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