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Jonathan Berant
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing

Oct 23, 2020
Ohad Rubin, Jonathan Berant


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Improving Compositional Generalization in Semantic Parsing

Oct 12, 2020
Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant


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Learning Object Detection from Captions via Textual Scene Attributes

Sep 30, 2020
Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson


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Scene Graph to Image Generation with Contextualized Object Layout Refinement

Sep 24, 2020
Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf


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Span-based Semantic Parsing for Compositional Generalization

Sep 13, 2020
Jonathan Herzig, Jonathan Berant


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A Simple Global Neural Discourse Parser

Sep 08, 2020
Yichu Zhou, Omri Koshorek, Vivek Srikumar, Jonathan Berant


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Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering

Jul 01, 2020
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant


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Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge

Jun 19, 2020
Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant


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GMAT: Global Memory Augmentation for Transformers

Jun 05, 2020
Ankit Gupta, Jonathan Berant


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Obtaining Faithful Interpretations from Compositional Neural Networks

May 02, 2020
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner

* ACL 2020; first three authors contributed equally 
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Evaluating the Evaluation of Diversity in Natural Language Generation

Apr 26, 2020
Guy Tevet, Jonathan Berant


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Explaining Question Answering Models through Text Generation

Apr 12, 2020
Veronica Latcinnik, Jonathan Berant


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Injecting Numerical Reasoning Skills into Language Models

Apr 09, 2020
Mor Geva, Ankit Gupta, Jonathan Berant

* ACL 2020 
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Evaluating NLP Models via Contrast Sets

Apr 06, 2020
Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou


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Break It Down: A Question Understanding Benchmark

Jan 31, 2020
Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant

* Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2020. Author's final version 
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oLMpics -- On what Language Model Pre-training Captures

Dec 31, 2019
Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant


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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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Question Answering is a Format; When is it Useful?

Sep 25, 2019
Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min


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Global Reasoning over Database Structures for Text-to-SQL Parsing

Aug 29, 2019
Ben Bogin, Matt Gardner, Jonathan Berant

* EMNLP 2019 
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Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing

Aug 29, 2019
Jonathan Herzig, Jonathan Berant

* EMNLP-IJCNLP 2019 
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Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets

Aug 28, 2019
Mor Geva, Yoav Goldberg, Jonathan Berant

* EMNLP-IJCNLP 2019 
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Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing

Jun 03, 2019
Ben Bogin, Matt Gardner, Jonathan Berant

* Accepted as a short paper at ACL 2019 
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MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension

May 31, 2019
Alon Talmor, Jonathan Berant

* accepted as a long paper at ACL 2019 
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Grammar-based Neural Text-to-SQL Generation

May 30, 2019
Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner


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White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks

Apr 04, 2019
Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant

* Accepted to NAACL-HLT 2019 as conference paper 
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