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Home > NLP Highlights > 22 - Deep Multitask Learning for Semantic Dependency Parsing, with Noah Smith
Podcast: NLP Highlights
Episode:

22 - Deep Multitask Learning for Semantic Dependency Parsing, with Noah Smith
Category: Science & Medicine
Duration: 00:31:23
Publish Date: 2017-06-16 14:12:49
Description: 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
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