Towards Understandable Neural Networks for High Level AI Tasks - Part 6

Encoding discrete symbol structures as numerical vectors for neural network computation enables the similarity structure inherent in vectorial representations to yield generalizations that reflect content-similarity in a structure-sensitive fashion. Two examples will be presented. In language understanding, the mapping of arguments from syntactic roles (subject, object, etc.) to semantic roles (agent, patient, etc.) is controlled by the argument structure of verbs. Verbs differ in their argument structu