Computing Answers to Complex Questions in Broad Domains

Question Decomposition with Dependency Graphs

Autori: Matan Hasson, Jonathan Berant
Pubblicato in: AKBC 2021, 2021
Editore: non-archival

"""COVR: A test-bed for Visually Grounded Compositional Generalization with real images"""

Autori: Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
Pubblicato in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021, Pagina/e 9824–9846
Editore: Association for Computational Linguistics

MultimodalQA: Complex Question Answering over Text, Tables and Images

Autori: Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant
Pubblicato in: Proceedings of the 2021 International Conference on Learning Representations, 2021
Editore: ICLR 2021

A Simple and Effective Model for Answering Multi-span Questions

Autori: Elad Segal, Avia Efrat, Mor Shoham, Amir Globerson, Jonathan Berant
Pubblicato in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Pagina/e 3074-3080
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.emnlp-main.248

What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models

Autori: Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant
Pubblicato in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Editore: Association for Computational Linguistics

Achieving Model Robustness Through Discrete Adversarial Training

Autori: Maor Ivgi and Jonathan Berant
Pubblicato in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Editore: ACL 2021

Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization

Autori: Inbar Oren, Jonathan Herzig, Jonathan Berant
Pubblicato in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Editore: Association for Computational Linguistics

Injecting Numerical Reasoning Skills into Language Models

Autori: Mor Geva, Ankit Gupta, Jonathan Berant
Pubblicato in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Pagina/e 946-958
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.acl-main.89

Scene Graph tO Image Generation with Contextualized Object Layout Refinement

Autori: Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf
Pubblicato in: 2021 IEEE International Conference on Image Processing (ICIP), 2021, Pagina/e 2428-2432, ISBN 978-1-6654-4115-5
Editore: IEEE
DOI: 10.1109/icip42928.2021.9506651

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge

Autori: Talmor, Alon; Tafjord, Oyvind; Clark, Peter; Goldberg, Yoav; Berant, Jonathan
Pubblicato in: Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), Numero 4, 2020
Editore: NeurIPS 2020

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

Autori: Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
Pubblicato in: Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (Datasets and Benchmarks Track), 2021
Editore: NeurIPS 2021

Improving Compositional Generalization in Semantic Parsing

Autori: Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
Pubblicato in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, Pagina/e 2482-2495
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.findings-emnlp.225

SmBoP: Semi-autoregressive Bottom-up Semantic Parsing

Autori: Ohad Rubin, Jonathan Berant
Pubblicato in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021, Pagina/e 311-324
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.naacl-main.29

Evaluating the Evaluation of Diversity in Natural Language Generation

Autori: Guy Tevet, Jonathan Berant
Pubblicato in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021, Pagina/e 326-346
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.eacl-main.25

Evaluating Models’ Local Decision Boundaries via Contrast Sets

Autori: Matt Gardner, Yoav Artzi, Victoria Basmov, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh 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
Pubblicato in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, Pagina/e 1307-1323
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.findings-emnlp.117

Span-based Semantic Parsing for Compositional Generalization

Autori: Jonathan Herzig, Jonathan Berant
Pubblicato in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021, Pagina/e 908-921
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-long.74

Differentiable Scene Graphs

Autori: Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
Pubblicato in: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, Pagina/e 1477-1486, ISBN 978-1-7281-6553-0
Editore: IEEE
DOI: 10.1109/wacv45572.2020.9093297

Obtaining Faithful Interpretations from Compositional Neural Networks

Autori: Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Pubblicato in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Pagina/e 5594-5608
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.acl-main.495

oLMpics-On What Language Model Pre-training Captures

Autori: Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant
Pubblicato in: Transactions of the Association for Computational Linguistics, Numero 8, 2020, Pagina/e 743-758, ISSN 2307-387X
Editore: The MIT Press
DOI: 10.1162/tacl_a_00342

Break It Down: A Question Understanding Benchmark

Autori: Tomer Wolfson; Mor Geva; Ankit Gupta; Matt Gardner; Yoav Goldberg; Daniel Deutch; Jonathan Berant
Pubblicato in: Transactions of the Association for Computational Linguistics, Vol 8, Pp 183-198 (2020), Numero 2, 2020, ISSN 2307-387X
Editore: MIT Press Journals
DOI: 10.1162/tacl_a_00309

Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition

Autori: Mor Geva, Tomer Wolfson, Jonathan Berant
Pubblicato in: Transactions of the Association for Computational Linguistics, 2021, 2021, ISSN 2307-387X
Editore: MIT Press

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

Autori: Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant
Pubblicato in: Transactions of the Association for Computational Linguistics, Numero 9, 2021, Pagina/e 346-361, ISSN 2307-387X
Editore: MIT Press
DOI: 10.1162/tacl_a_00370

Latent compositional representations improve systematic generalization in grounded question answering.

Autori: Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Pubblicato in: Transactions of the Association for Computational Linguistics (TACL) - volume 9, 2021, ISSN 2307-387X
Editore: MIT Press

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