NLP Highlights
Podcast készítő Allen Institute for Artificial Intelligence
145 Epizód
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124 - Semantic Machines and Task-Oriented Dialog, with Jayant Krishnamurthy and Hao Fang
Közzétéve: 2021. 04. 14. -
123 - Robust NLP, with Robin Jia
Közzétéve: 2021. 04. 05. -
122 - Statutory Reasoning in Tax Law, with Nils Holzenberger
Közzétéve: 2020. 11. 12. -
121 - Language and the Brain, with Alona Fyshe
Közzétéve: 2020. 10. 30. -
120 - Evaluation of Text Generation, with Asli Celikyilmaz
Közzétéve: 2020. 10. 03. -
119 - Social NLP, with Diyi Yang
Közzétéve: 2020. 09. 03. -
118 - Coreference Resolution, with Marta Recasens
Közzétéve: 2020. 08. 26. -
117 - Interpreting NLP Model Predictions, with Sameer Singh
Közzétéve: 2020. 08. 13. -
116 - Grounded Language Understanding, with Yonatan Bisk
Közzétéve: 2020. 07. 03. -
115 - AllenNLP, interviewing Matt Gardner
Közzétéve: 2020. 06. 17. -
114 - Behavioral Testing of NLP Models, with Marco Tulio Ribeiro
Közzétéve: 2020. 05. 26. -
113 - Managing Industry Research Teams, with Fernando Pereira
Közzétéve: 2020. 05. 22. -
112 - Alignment of Multilingual Contextual Representations, with Steven Cao
Közzétéve: 2020. 05. 13. -
111 - Typologically diverse, multi-lingual, information-seeking questions, with Jon Clark
Közzétéve: 2020. 04. 27. -
110 - Natural Questions, with Tom Kwiatkowski and Michael Collins
Közzétéve: 2020. 04. 06. -
109 - What Does Your Model Know About Language, with Ellie Pavlick
Közzétéve: 2020. 03. 30. -
108 - Data-To-Text Generation, with Verena Rieser and Ondřej Dušek
Közzétéve: 2020. 03. 23. -
107 - Multi-Modal Transformers, with Hao Tan and Mohit Bansal
Közzétéve: 2020. 02. 24. -
106 - Ethical Considerations In NLP Research, with Emily Bender
Közzétéve: 2020. 02. 17. -
105 - Question Generation, with Sudha Rao
Közzétéve: 2020. 02. 10.
**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.
