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