Controlled Language and Baby Turing Test for General Conversational
  Intelligence
  General conversational intelligence appears to be an important part of
artificial general intelligence. Respectively, it requires accessible measures
of the intelligence quality and controllable ways of its achievement, ideally -
having the linguistic and semantic models represented in a reasonable way. Our
work is suggesting to use Baby Turing Test approach to extend the classic
Turing Test for conversational intelligence and controlled language based on
semantic graph representation extensible for arbitrary subject domain. We
describe how the two can be used together to build a general-purpose
conversational system such as an intelligent assistant for online media and
social network data processing.
