NLP Highlights
Podcast autorstwa Allen Institute for Artificial Intelligence
145 Odcinki
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124 - Semantic Machines and Task-Oriented Dialog, with Jayant Krishnamurthy and Hao Fang
Opublikowany: 14.04.2021 -
123 - Robust NLP, with Robin Jia
Opublikowany: 5.04.2021 -
122 - Statutory Reasoning in Tax Law, with Nils Holzenberger
Opublikowany: 12.11.2020 -
121 - Language and the Brain, with Alona Fyshe
Opublikowany: 30.10.2020 -
120 - Evaluation of Text Generation, with Asli Celikyilmaz
Opublikowany: 3.10.2020 -
119 - Social NLP, with Diyi Yang
Opublikowany: 3.09.2020 -
118 - Coreference Resolution, with Marta Recasens
Opublikowany: 26.08.2020 -
117 - Interpreting NLP Model Predictions, with Sameer Singh
Opublikowany: 13.08.2020 -
116 - Grounded Language Understanding, with Yonatan Bisk
Opublikowany: 3.07.2020 -
115 - AllenNLP, interviewing Matt Gardner
Opublikowany: 17.06.2020 -
114 - Behavioral Testing of NLP Models, with Marco Tulio Ribeiro
Opublikowany: 26.05.2020 -
113 - Managing Industry Research Teams, with Fernando Pereira
Opublikowany: 22.05.2020 -
112 - Alignment of Multilingual Contextual Representations, with Steven Cao
Opublikowany: 13.05.2020 -
111 - Typologically diverse, multi-lingual, information-seeking questions, with Jon Clark
Opublikowany: 27.04.2020 -
110 - Natural Questions, with Tom Kwiatkowski and Michael Collins
Opublikowany: 6.04.2020 -
109 - What Does Your Model Know About Language, with Ellie Pavlick
Opublikowany: 30.03.2020 -
108 - Data-To-Text Generation, with Verena Rieser and Ondřej Dušek
Opublikowany: 23.03.2020 -
107 - Multi-Modal Transformers, with Hao Tan and Mohit Bansal
Opublikowany: 24.02.2020 -
106 - Ethical Considerations In NLP Research, with Emily Bender
Opublikowany: 17.02.2020 -
105 - Question Generation, with Sudha Rao
Opublikowany: 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.
