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