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Julian Michael

Asking It All: Generating Contextualized Questions for any Semantic Role


Sep 10, 2021
Valentina Pyatkin, Paul Roit, Julian Michael, Reut Tsarfaty, Yoav Goldberg, Ido Dagan

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* Accepted as a long paper to EMNLP 2021, Main Conference 
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Prompting Contrastive Explanations for Commonsense Reasoning Tasks


Jun 12, 2021
Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi

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* ACL 2021 Findings 
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Asking without Telling: Exploring Latent Ontologies in Contextual Representations


Apr 29, 2020
Julian Michael, Jan A. Botha, Ian Tenney

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* 18 pages, 6 figures, 11 tables 
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AmbigQA: Answering Ambiguous Open-domain Questions


Apr 22, 2020
Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer

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Crowdsourcing a High-Quality Gold Standard for QA-SRL


Nov 08, 2019
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan

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SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems


May 02, 2019
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman

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* super.gluebenchmark.com 
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding


Sep 18, 2018
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman

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* https://gluebenchmark.com/ 
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Large-Scale QA-SRL Parsing


May 14, 2018
Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer

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* 10 pages, 3 figures, 8 tables. Accepted to ACL 2018 
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Crowdsourcing Question-Answer Meaning Representations


Nov 16, 2017
Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer

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* 8 pages, 6 figures, 2 tables 
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