145 Episodo

  1. 104 - Model Distillation, with Victor Sanh and Thomas Wolf

    Publicado: 3/2/2020

  2. 103 - Processing Language in Social Media, with Brendan O'Connor

    Publicado: 27/1/2020

  3. 102 - Biomedical NLP research at the National Institute of Health with Dina Demner-Fushman

    Publicado: 20/1/2020

  4. 101 - The lottery ticket hypothesis, with Jonathan Frankle

    Publicado: 14/1/2020

  5. 100 - NLP Startups, with Oren Etzioni

    Publicado: 8/1/2020

  6. 99 - Evaluating Protein Transfer Learning, With Roshan Rao And Neil Thomas

    Publicado: 16/12/2019

  7. 98 - Analyzing Information Flow In Transformers, With Elena Voita

    Publicado: 9/12/2019

  8. 97 - Automated Analysis Of Historical Printed Documents, With Taylor Berg-Kirkpatrick

    Publicado: 27/11/2019

  9. 96 - Question Answering as an Annotation Format, with Luke Zettlemoyer

    Publicado: 12/11/2019

  10. 95 - Common sense reasoning, with Yejin Choi

    Publicado: 7/10/2019

  11. 94 - Decompositional Semantics, with Aaron White

    Publicado: 30/9/2019

  12. 93 - NLP/ML for clinical data, with Alistair Johnson

    Publicado: 22/7/2019

  13. 92 - Computational Humanities, with David Bamman

    Publicado: 5/7/2019

  14. 91 - (Executable) Semantic Parsing, with Jonathan Berant

    Publicado: 26/6/2019

  15. 90 - Research in Academia versus Industry, with Philip Resnik and Jason Baldridge

    Publicado: 31/5/2019

  16. 89 - Dialog Systems, with Zhou Yu

    Publicado: 31/5/2019

  17. 88 - A Structural Probe for Finding Syntax in Word Representations, with John Hewitt

    Publicado: 7/5/2019

  18. 87 - Pathologies of Neural Models Make Interpretation Difficult, with Shi Feng

    Publicado: 25/4/2019

  19. 86 - NLP for Evidence-based Medicine, with Byron Wallace

    Publicado: 15/4/2019

  20. 85 - Stress in Research, with Charles Sutton

    Publicado: 29/3/2019

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**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.

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