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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 12 of 12 1 Analysis of Language Change in Collaborative Instruction Following ... Effenberger, Anna; Yan, Eva; Singh, Rhia. - : University of Massachusetts Amherst, 2022 BASE Show details 2 Analysis of Language Change in Collaborative Instruction Following Effenberger, Anna; Yan, Eva; Singh, Rhia... In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 3 Analysis of Language Change in Collaborative Instruction Following ... Effenberger, Anna; Yan, Eva; Singh, Rhia. - : arXiv, 2021 BASE Show details 4 Analysis of Language Change in Collaborative Instruction Following ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Artzi, Yoav; Effenberger, Anna. - : Underline Science Inc., 2021 BASE Show details 5 Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Artzi, Yoav; Kojima, Noriyuki. - : Underline Science Inc., 2021 BASE Show details 6 Evaluating Models' Local Decision Boundaries via Contrast Sets ... Gardner, Matt; Artzi, Yoav; Basmova, Victoria; Berant, Jonathan; Bogin, Ben; Chen, Sihao; Dasigi, Pradeep; Dua, Dheeru; Elazar, Yanai; Gottumukkala, Ananth; Gupta, Nitish; Hajishirzi, Hanna; Ilharco, Gabriel; Khashabi, Daniel; Lin, Kevin; Liu, Jiangming; Liu, Nelson F.; Mulcaire, Phoebe; Ning, Qiang; Singh, Sameer; Smith, Noah A.; Subramanian, Sanjay; Tsarfaty, Reut; Wallace, Eric; Zhang, Ally; Zhou, Ben. - : arXiv, 2020 Abstract: Standard test sets for supervised learning evaluate in-distribution generalization. Unfortunately, when a dataset has systematic gaps (e.g., annotation artifacts), these evaluations are misleading: a model can learn simple decision rules that perform well on the test set but do not capture a dataset's intended capabilities. We propose a new annotation paradigm for NLP that helps to close systematic gaps in the test data. In particular, after a dataset is constructed, we recommend that the dataset authors manually perturb the test instances in small but meaningful ways that (typically) change the gold label, creating contrast sets. Contrast sets provide a local view of a model's decision boundary, which can be used to more accurately evaluate a model's true linguistic capabilities. We demonstrate the efficacy of contrast sets by creating them for 10 diverse NLP datasets (e.g., DROP reading comprehension, UD parsing, IMDb sentiment analysis). Although our contrast sets are not explicitly adversarial, model ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2004.02709 https://dx.doi.org/10.48550/arxiv.2004.02709 BASE Hide details 7 What is Learned in Visually Grounded Neural Syntax Acquisition ... Kojima, Noriyuki; Averbuch-Elor, Hadar; Rush, Alexander M.. - : arXiv, 2020 BASE Show details 8 A Corpus for Reasoning About Natural Language Grounded in Photographs ... Suhr, Alane; Zhou, Stephanie; Zhang, Ally. - : arXiv, 2018 BASE Show details 9 Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments ... Chen, Howard; Suhr, Alane; Misra, Dipendra. - : arXiv, 2018 BASE Show details 10 Mapping Instructions and Visual Observations to Actions with Reinforcement Learning ... Misra, Dipendra; Langford, John; Artzi, Yoav. - : arXiv, 2017 BASE Show details 11 Situated Learning and Understanding of Natural Language Artzi, Yoav. - 2015 BASE Show details 12 Learning to Automatically Solve Algebra Word Problems Kushman, Nate; Artzi, Yoav; Zettlemoyer, Luke... In: MIT web domain (2014) BASE Show details

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