NLP Highlights
En podcast af Allen Institute for Artificial Intelligence
145 Episoder
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104 - Model Distillation, with Victor Sanh and Thomas Wolf
Udgivet: 3.2.2020 -
103 - Processing Language in Social Media, with Brendan O'Connor
Udgivet: 27.1.2020 -
102 - Biomedical NLP research at the National Institute of Health with Dina Demner-Fushman
Udgivet: 20.1.2020 -
101 - The lottery ticket hypothesis, with Jonathan Frankle
Udgivet: 14.1.2020 -
100 - NLP Startups, with Oren Etzioni
Udgivet: 8.1.2020 -
99 - Evaluating Protein Transfer Learning, With Roshan Rao And Neil Thomas
Udgivet: 16.12.2019 -
98 - Analyzing Information Flow In Transformers, With Elena Voita
Udgivet: 9.12.2019 -
97 - Automated Analysis Of Historical Printed Documents, With Taylor Berg-Kirkpatrick
Udgivet: 27.11.2019 -
96 - Question Answering as an Annotation Format, with Luke Zettlemoyer
Udgivet: 12.11.2019 -
95 - Common sense reasoning, with Yejin Choi
Udgivet: 7.10.2019 -
94 - Decompositional Semantics, with Aaron White
Udgivet: 30.9.2019 -
93 - NLP/ML for clinical data, with Alistair Johnson
Udgivet: 22.7.2019 -
92 - Computational Humanities, with David Bamman
Udgivet: 5.7.2019 -
91 - (Executable) Semantic Parsing, with Jonathan Berant
Udgivet: 26.6.2019 -
90 - Research in Academia versus Industry, with Philip Resnik and Jason Baldridge
Udgivet: 31.5.2019 -
89 - Dialog Systems, with Zhou Yu
Udgivet: 31.5.2019 -
88 - A Structural Probe for Finding Syntax in Word Representations, with John Hewitt
Udgivet: 7.5.2019 -
87 - Pathologies of Neural Models Make Interpretation Difficult, with Shi Feng
Udgivet: 25.4.2019 -
86 - NLP for Evidence-based Medicine, with Byron Wallace
Udgivet: 15.4.2019 -
85 - Stress in Research, with Charles Sutton
Udgivet: 29.3.2019
**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.