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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. - : arXiv, 2020 BASE Show 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; Zhang, Iris; Bai, Huajun; Artzi, Yoav. - : arXiv, 2018 Abstract: We introduce a new dataset for joint reasoning about natural language and images, with a focus on semantic diversity, compositionality, and visual reasoning challenges. The data contains 107,292 examples of English sentences paired with web photographs. The task is to determine whether a natural language caption is true about a pair of photographs. We crowdsource the data using sets of visually rich images and a compare-and-contrast task to elicit linguistically diverse language. Qualitative analysis shows the data requires compositional joint reasoning, including about quantities, comparisons, and relations. Evaluation using state-of-the-art visual reasoning methods shows the data presents a strong challenge. ... : ACL 2019 Long Paper ... Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences URL: https://arxiv.org/abs/1811.00491 https://dx.doi.org/10.48550/arxiv.1811.00491 BASE Hide 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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