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When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems

Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su 0001. When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 11473-11487, Association for Computational Linguistics, 2022. [doi]

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