Hello Everyone,

say I'd like to convert natural language specification of goals into 
atomese, so as to be able to apply the opencog's solvers to ground them, 
and possibly extend opencog with other types of solvers.

For something specific, let's say we have descriptions of UN sustainable 
development goals ( 
http://www.un.org/sustainabledevelopment/sustainable-development-goals/ , 
https://en.wikipedia.org/wiki/Sustainable_Development_Goals ), which are 
phrased in human language.

And, let's say we want to convert them into atomese, in such a way, as to 
precisely capture their meaning.

In other words, we have some texts, rather than spoken language. What would 
be the current best way of converting plain text in a natural human 
language to a semantic representation in atomese, assuming global/general 
context?


Thanks
Mindey

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