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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 Page: 1 2 Hits 1 – 20 of 33 1 WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation ... Liu, Alisa; Swayamdipta, Swabha; Smith, Noah A.. - : arXiv, 2022 BASE Show details 2 COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics ... Qin, Lianhui; Welleck, Sean; Khashabi, Daniel. - : arXiv, 2022 BASE Show details 3 Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection ... Sap, Maarten; Swayamdipta, Swabha; Vianna, Laura. - : arXiv, 2021 BASE Show details 4 PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World ... Zellers, Rowan; Holtzman, Ari; Peters, Matthew; Mottaghi, Roozbeh; Kembhavi, Aniruddha; Farhadi, Ali; Choi, Yejin. - : arXiv, 2021 Abstract: We propose PIGLeT: a model that learns physical commonsense knowledge through interaction, and then uses this knowledge to ground language. We factorize PIGLeT into a physical dynamics model, and a separate language model. Our dynamics model learns not just what objects are but also what they do: glass cups break when thrown, plastic ones don't. We then use it as the interface to our language model, giving us a unified model of linguistic form and grounded meaning. PIGLeT can read a sentence, simulate neurally what might happen next, and then communicate that result through a literal symbolic representation, or natural language. Experimental results show that our model effectively learns world dynamics, along with how to communicate them. It is able to correctly forecast "what happens next" given an English sentence over 80% of the time, outperforming a 100x larger, text-to-text approach by over 10%. Likewise, its natural language summaries of physical interactions are also judged by humans as more accurate ... : ACL 2021 camera ready, project page at https://rowanzellers.com/piglet/ ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2106.00188 https://arxiv.org/abs/2106.00188 BASE Hide details 5 Contrastive Explanations for Model Interpretability ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Yejin; Elazar, Yanai. - : Underline Science Inc., 2021 BASE Show details 6 PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Matthew; Choi, Yejin. - : Underline Science Inc., 2021 BASE Show details 7 Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bhagavatula, Chandra; Choi, Yejin. - : Underline Science Inc., 2021 BASE Show details 8 Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Arabshahi, Forough; Bosselut, Antoine. - : Underline Science Inc., 2021 BASE Show details 9 Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bosselut, antoineb@allenai.org; Choi, Yejin. - : Underline Science Inc., 2021 BASE Show details 10 GO FIGURE: A Meta Evaluation of Factuality in Summarization ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Celikyilmaz, Asli; Choi, Yejin. - : Underline Science Inc., 2021 BASE Show details 11 CLIPScore: A Reference-free Evaluation Metric for Image Captioning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Yejin; Forbes, Maxwell. - : Underline Science Inc., 2021 BASE Show details 12 Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Yejin; D. Hwang, Jena. - : Underline Science Inc., 2021 BASE Show details 13 DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bhagavatula, Chandra; Choi, Yejin. - : Underline Science Inc., 2021 BASE Show details 14 Challenges in Automated Debiasing for Toxic Language Detection ... Zhou, Xuhui; Sap, Maarten; Swayamdipta, Swabha. - : arXiv, 2021 BASE Show details 15 NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ... Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021 BASE Show details 16 From Physical to Social Commonsense: Natural Language and the Natural World Forbes, Maxwell. - 2021 BASE Show details 17 Positive AI with Social Commonsense Models Sap, Maarten. - 2021 BASE Show details 18 Generative Data Augmentation for Commonsense Reasoning ... Yang, Yiben; Malaviya, Chaitanya; Fernandez, Jared. - : arXiv, 2020 BASE Show details 19 NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints ... Lu, Ximing; West, Peter; Zellers, Rowan. - : arXiv, 2020 BASE Show details 20 Understanding Natural Language with Commonsense Knowledge Representation, Reasoning, and Simulation Bosselut, Antoine. - 2020 BASE Show details Page: 1 2

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