22 - Deep Multitask Learning for Semantic Dependency Parsing, with Noah Smith

An interview with Noah Smith. Noah tells us about his work with his
students Hao Peng and Sam Thomson. We talk about what semantic
dependency parsing is, the model that they used to approach the
problem, how multi-task learning fits into this with a graph-based
parser, and end with a little discussion about representation
learning.
https://www.semanticscholar.org/paper/Deep-Multitask-Learning-for-Semantic-Dependency-Pa-Peng-Thomson/406fd41b360bb02c0aaabff54055193fb5d9d7f1