NLP Highlights
A podcast by Allen Institute for Artificial Intelligence
145 Episodes
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104 - Model Distillation, with Victor Sanh and Thomas Wolf
Published: 03/02/2020 -
103 - Processing Language in Social Media, with Brendan O'Connor
Published: 27/01/2020 -
102 - Biomedical NLP research at the National Institute of Health with Dina Demner-Fushman
Published: 20/01/2020 -
101 - The lottery ticket hypothesis, with Jonathan Frankle
Published: 14/01/2020 -
100 - NLP Startups, with Oren Etzioni
Published: 08/01/2020 -
99 - Evaluating Protein Transfer Learning, With Roshan Rao And Neil Thomas
Published: 16/12/2019 -
98 - Analyzing Information Flow In Transformers, With Elena Voita
Published: 09/12/2019 -
97 - Automated Analysis Of Historical Printed Documents, With Taylor Berg-Kirkpatrick
Published: 27/11/2019 -
96 - Question Answering as an Annotation Format, with Luke Zettlemoyer
Published: 12/11/2019 -
95 - Common sense reasoning, with Yejin Choi
Published: 07/10/2019 -
94 - Decompositional Semantics, with Aaron White
Published: 30/09/2019 -
93 - NLP/ML for clinical data, with Alistair Johnson
Published: 22/07/2019 -
92 - Computational Humanities, with David Bamman
Published: 05/07/2019 -
91 - (Executable) Semantic Parsing, with Jonathan Berant
Published: 26/06/2019 -
90 - Research in Academia versus Industry, with Philip Resnik and Jason Baldridge
Published: 31/05/2019 -
89 - Dialog Systems, with Zhou Yu
Published: 31/05/2019 -
88 - A Structural Probe for Finding Syntax in Word Representations, with John Hewitt
Published: 07/05/2019 -
87 - Pathologies of Neural Models Make Interpretation Difficult, with Shi Feng
Published: 25/04/2019 -
86 - NLP for Evidence-based Medicine, with Byron Wallace
Published: 15/04/2019 -
85 - Stress in Research, with Charles Sutton
Published: 29/03/2019
**The podcast is currently on hiatus. For more active NLP content, check out the Holistic Intelligence Podcast linked below.** Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.