Hands-On Natural Language Processing with Python

Literature on and related to memory networks

For more curious readers, here is a list of papers introducing new ideas and architectures related to or inspired by memory networks for natural language understanding:

Title	Description	ArXiv URL
Dynamic Memory Networks (DMNs) and Dynamic Coattention Networks (DCNs)	Introduced by Salesforce Research at around the same time as Facebook's memory networks, DMNs use more sophisticated RNNs for representation building and iterating over episodic memory. DCNs are Salesforce's latest iteration of attention-based reasoning models with a novel coattention mechanism.	https://arxiv.org/abs/1506.07285 https://arxiv.org/abs/1711.00106
Neural Turing Machines (NTMs) and Differentiable Neural ...