NLP Highlights

A podcast by Allen Institute for Artificial Intelligence

145 Episodes

  1. 124 - Semantic Machines and Task-Oriented Dialog, with Jayant Krishnamurthy and Hao Fang

    Published: 4/14/2021
  2. 123 - Robust NLP, with Robin Jia

    Published: 4/5/2021
  3. 122 - Statutory Reasoning in Tax Law, with Nils Holzenberger

    Published: 11/12/2020
  4. 121 - Language and the Brain, with Alona Fyshe

    Published: 10/30/2020
  5. 120 - Evaluation of Text Generation, with Asli Celikyilmaz

    Published: 10/3/2020
  6. 119 - Social NLP, with Diyi Yang

    Published: 9/3/2020
  7. 118 - Coreference Resolution, with Marta Recasens

    Published: 8/26/2020
  8. 117 - Interpreting NLP Model Predictions, with Sameer Singh

    Published: 8/13/2020
  9. 116 - Grounded Language Understanding, with Yonatan Bisk

    Published: 7/3/2020
  10. 115 - AllenNLP, interviewing Matt Gardner

    Published: 6/17/2020
  11. 114 - Behavioral Testing of NLP Models, with Marco Tulio Ribeiro

    Published: 5/26/2020
  12. 113 - Managing Industry Research Teams, with Fernando Pereira

    Published: 5/22/2020
  13. 112 - Alignment of Multilingual Contextual Representations, with Steven Cao

    Published: 5/13/2020
  14. 111 - Typologically diverse, multi-lingual, information-seeking questions, with Jon Clark

    Published: 4/27/2020
  15. 110 - Natural Questions, with Tom Kwiatkowski and Michael Collins

    Published: 4/6/2020
  16. 109 - What Does Your Model Know About Language, with Ellie Pavlick

    Published: 3/30/2020
  17. 108 - Data-To-Text Generation, with Verena Rieser and Ondřej Dušek

    Published: 3/23/2020
  18. 107 - Multi-Modal Transformers, with Hao Tan and Mohit Bansal

    Published: 2/24/2020
  19. 106 - Ethical Considerations In NLP Research, with Emily Bender

    Published: 2/17/2020
  20. 105 - Question Generation, with Sudha Rao

    Published: 2/10/2020

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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.