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The genesis of Extractor was a
thesis exploring the application of artificial intelligence and machine
learning. Specifically, how the growing proliferation of information and
intellectual property, primarily via the World Wide Web, could be
refined and sourced with certainty and relevance. The application of
artificial intelligence married with the theories of machine learning
would prove effective.
We know and experience today the great results of Dr. Turney's research efforts, now in version 7.2, Extractor is a proven solution providing developers with the tool for better sourcing of information and most importantly its contextual meaning. The scientific research that went into the creation of the Extractor Technology is found in the following published documentation:
¤ Answering Subcognitive Turing Test Questions: A Reply to French |
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