Automated Abstraction of Dynamic Neural Systems for Natural Language Processing

摘要

This paper presents a variant of the crystallizing substochastic sequential machine extractor (CrySSMEx), an algorithm capable of extracting finite state descriptions of dynamic systems, such as recurrent neural networks, without any regard to their topol