NLP Highlights
Podcast készítő Allen Institute for Artificial Intelligence
145 Epizód
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104 - Model Distillation, with Victor Sanh and Thomas Wolf
Közzétéve: 2020. 02. 03. -
103 - Processing Language in Social Media, with Brendan O'Connor
Közzétéve: 2020. 01. 27. -
102 - Biomedical NLP research at the National Institute of Health with Dina Demner-Fushman
Közzétéve: 2020. 01. 20. -
101 - The lottery ticket hypothesis, with Jonathan Frankle
Közzétéve: 2020. 01. 14. -
100 - NLP Startups, with Oren Etzioni
Közzétéve: 2020. 01. 08. -
99 - Evaluating Protein Transfer Learning, With Roshan Rao And Neil Thomas
Közzétéve: 2019. 12. 16. -
98 - Analyzing Information Flow In Transformers, With Elena Voita
Közzétéve: 2019. 12. 09. -
97 - Automated Analysis Of Historical Printed Documents, With Taylor Berg-Kirkpatrick
Közzétéve: 2019. 11. 27. -
96 - Question Answering as an Annotation Format, with Luke Zettlemoyer
Közzétéve: 2019. 11. 12. -
95 - Common sense reasoning, with Yejin Choi
Közzétéve: 2019. 10. 07. -
94 - Decompositional Semantics, with Aaron White
Közzétéve: 2019. 09. 30. -
93 - NLP/ML for clinical data, with Alistair Johnson
Közzétéve: 2019. 07. 22. -
92 - Computational Humanities, with David Bamman
Közzétéve: 2019. 07. 05. -
91 - (Executable) Semantic Parsing, with Jonathan Berant
Közzétéve: 2019. 06. 26. -
90 - Research in Academia versus Industry, with Philip Resnik and Jason Baldridge
Közzétéve: 2019. 05. 31. -
89 - Dialog Systems, with Zhou Yu
Közzétéve: 2019. 05. 31. -
88 - A Structural Probe for Finding Syntax in Word Representations, with John Hewitt
Közzétéve: 2019. 05. 07. -
87 - Pathologies of Neural Models Make Interpretation Difficult, with Shi Feng
Közzétéve: 2019. 04. 25. -
86 - NLP for Evidence-based Medicine, with Byron Wallace
Közzétéve: 2019. 04. 15. -
85 - Stress in Research, with Charles Sutton
Közzétéve: 2019. 03. 29.
**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.
