YKY,

Combinatorial Categorial Grammar has been aligned with an elegant
tensor-based semantics, which might interest you:

http://www.cl.cam.ac.uk/~sc609/pubs/eacl14types.pdf

It's quite elegant on a math level, though a weakness is that the tensors
they use to represent meanings are not given any actual semantic
interpretation.

I think one could use this formalism to describe an OpenCog approach to
semantics, actually (and that the link grammar OpenCog uses can be mapped
into CCGs if one wishes), but that would be another story...

-- Ben G


On Fri, Jun 20, 2014 at 4:56 AM, YKY (Yan King Yin, 甄景贤) via AGI <
[email protected]> wrote:

> On Thu, Jun 19, 2014 at 3:44 AM, Juan Carlos Kuri Pinto via AGI <
> [email protected]> wrote:
>
>> I would not use any mathematical tool unless it perfectly fits the
>> problem to solve. I doubt tensor products can solve NLP. But I can be
>> wrong. I would rather use analogical correspondences via Markov models for
>> NLP. But I can be wrong too. :)
>>
>
>
> ​If you model things as Markov chains of probabilities then you're really
> doing NLP​ and purely *syntactically*.  But I think a more effective
> approach is to ignore the whims and irregularities of natural language and
> model "pure semantics" instead.  That is the essence of a logic engine.
>
> We just need to find out the algebraic form of the semantics.  The vectors
> / tensors can be seen as representations of the algebraic structure.
>
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-- 
Ben Goertzel, PhD
http://goertzel.org

"In an insane world, the sane man must appear to be insane". -- Capt. James
T. Kirk

"Emancipate yourself from mental slavery / None but ourselves can free our
minds" -- Robert Nesta Marley



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