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Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA

Mar 17, 2021
Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad

* Accepted to NAACL 2021 

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Process-Level Representation of Scientific Protocols with Interactive Annotation

Jan 25, 2021
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky

* Accepted to EACL 2021. Data, models and code will be made available for use by the research community at 

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GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation

Jan 17, 2021
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld

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MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

Oct 15, 2020
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner

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Gender Coreference and Bias Evaluation at WMT 2020

Oct 12, 2020
Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky

* Accepted WMT20 

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Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling

Sep 23, 2020
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan

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Active Learning for Coreference Resolution using Discrete Annotation

May 19, 2020
Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer

* 12 pages, 7 figures, ACL 2020 

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The Right Tool for the Job: Matching Model and Instance Complexities

May 09, 2020
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith

* ACL 2020; 12 pages; code available in 

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Ecological Semantics: Programming Environments for Situated Language Understanding

Mar 10, 2020
Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty

* Accepted to Bridging AI and Cognitive Science (BAICS) workshop at ICLR2020. For interactive demos, see 

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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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Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts

Oct 26, 2019
Gabriel Stanovsky, Ronen Tamari

* Accepted to the 5th Workshop on Noisy User-generated Text 

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On the Limits of Learning to Actively Learn Semantic Representations

Oct 05, 2019
Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant

* CoNLL 2019 

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Evaluating Gender Bias in Machine Translation

Jun 03, 2019
Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer

* Accepted to ACL 2019 

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DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Apr 16, 2019
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner

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Crowdsourcing Question-Answer Meaning Representations

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

* 8 pages, 6 figures, 2 tables 

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Getting More Out Of Syntax with PropS

Mar 04, 2016
Gabriel Stanovsky, Jessica Ficler, Ido Dagan, Yoav Goldberg

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