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How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks.

, and . EMNLP, page 5010-5015. Association for Computational Linguistics, (2018)

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Practical Benefits of Feature Feedback Under Distribution Shift., , , , and . BlackboxNLP@EMNLP, page 346-355. Association for Computational Linguistics, (2022)Learning The Difference That Makes A Difference With Counterfactually-Augmented Data., , and . ICLR, OpenReview.net, (2020)Explaining the Efficacy of Counterfactually Augmented Data., , , and . ICLR, OpenReview.net, (2021)Dynabench: Rethinking Benchmarking in NLP., , , , , , , , , and 9 other author(s). NAACL-HLT, page 4110-4124. Association for Computational Linguistics, (2021)How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks., and . EMNLP, page 5010-5015. Association for Computational Linguistics, (2018)On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study., , , and . ACL/IJCNLP (1), page 6618-6633. Association for Computational Linguistics, (2021)Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition., , , , and . RANLP, page 354-362. INCOMA Ltd., (2017)Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6872-6881. PMLR, (2019)