Abstract:
We describe the refactoring process of the Natural Language Understanding pipeline of OpenCog Artificial General Intelligence Framework, a method for expanding the concept ontology of the pipeline using statistical learning algorithms. Further an experimental approach to automatically generating a common sense knowledge base specifically with relation to concept relationships derived from the natural language pipeline using data mining techniques is detailed and evaluated.
