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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; Suhr, Alane. - : Underline Science Inc., 2021 Abstract: We study continual learning for natural language instruction generation, by observing human users' instruction execution. We focus on a collaborative scenario, where the system both acts and delegates tasks to human users using natural language. We compare user execution of generated instructions to the original system intent as an indication to the system's success communicating its intent. We show how to use this signal to improve the system's ability to generate instructions via contextual bandit learning. In interaction with real users, our system demonstrates dramatic improvements in its ability to generate language over time. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Generation URL: https://dx.doi.org/10.48448/a2sf-0y19 https://underline.io/lecture/38191-continual-learning-for-grounded-instruction-generation-by-observing-human-following-behavior BASE Hide 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. - : 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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