LAUSR

Convolutional End-to-End Memory Networks for Multi-Hop Reasoning

Sign Up to like & get
recommendations!
0 Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2940707

Abstract: Machine reading and comprehension using differentiable reasoning models has recently been studied extensively, and memory networks have demonstrated promising performance on some reasoning tasks such as factual reasoning and basic deduction. However, as a natural… read more here.

Keywords: convolutional end; end end; memory; end memory ... See more keywords