Who cites «Evaluating Models' Local Decision Boundaries via Contrast Sets» · page 3
- More Bang for Your Buck: Natural Perturbation for Robust Question Answering — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes — 2020 · arXiv:2005.04790
- Towards Debiasing NLU Models from Unknown Biases — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- UNIFIEDQA: Crossing Format Boundaries with a Single QA System — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Understanding tables with intermediate pre-training — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Words Aren''t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
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