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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 – 13 of 13 1 TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment ... Yang, Jianwei; Bisk, Yonatan; Gao, Jianfeng. - : arXiv, 2021 BASE Show details 2 Few-shot Language Coordination by Modeling Theory of Mind ... Zhu, Hao; Neubig, Graham; Bisk, Yonatan. - : arXiv, 2021 BASE Show details 3 An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games ... Suglia, Alessandro; Bisk, Yonatan; Konstas, Ioannis. - : arXiv, 2021 BASE Show details 4 Grounding 'Grounding' in NLP ... 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; ., Alan; Bisk, Yonatan; Chandu, Khyathi Raghavi. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.375 Abstract: The NLP community has seen substantial recent interest in grounding to facilitate interaction between language technologies and the world. However, as a community, we use the term broadly to reference any linking of text to data or non-textual modality. In contrast, Cognitive Science more formally defines “grounding” as the process of establishing what mutual information is required for successful communication between two interlocutors -- a definition which might implicitly capture the NLP usage but differs in intent and scope. We investigate the gap between these definitions and seek answers to the following questions: (1) What aspects of grounding are missing from NLP tasks? Here we present the dimensions of coordination, purviews and constraints. (2) How is the term “grounding'' used in the current research? We study the trends in datasets, domains, and tasks introduced in recent NLP conferences. And finally, (3) How to advance our ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Neural Network; Semantics URL: https://underline.io/lecture/26466-grounding-'grounding'-in-nlp https://dx.doi.org/10.48448/wg2z-kn64 BASE Hide details 5 Dependency Induction Through the Lens of Visual Perception ... Su, Ruisi; Rijhwani, Shruti; Zhu, Hao. - : arXiv, 2021 BASE Show details 6 Dependency Induction Through the Lens of Visual Perception ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Hao; Bisk, Yonatan. - : Underline Science Inc., 2021 BASE Show details 7 Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ... Suglia, Alessandro; Vergari, Antonio; Konstas, Ioannis. - : arXiv, 2020 BASE Show details 8 Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ... The 28th International Conference on Computational Linguistics 2020; Bastianelli, Emanuele; Bisk, Yonatan. - : Underline Science Inc., 2020 BASE Show details 9 Experience Grounds Language ... Bisk, Yonatan; Holtzman, Ari; Thomason, Jesse. - : arXiv, 2020 BASE Show details 10 The Return of Lexical Dependencies: Neural Lexicalized PCFGs ... Zhu, Hao; Bisk, Yonatan; Neubig, Graham. - : arXiv, 2020 BASE Show details 11 Shifting the Baseline: Single Modality Performance on Visual Navigation & QA ... Thomason, Jesse; Gordon, Daniel; Bisk, Yonatan. - : arXiv, 2018 BASE Show details 12 Natural Language Inference from Multiple Premises ... Lai, Alice; Bisk, Yonatan; Hockenmaier, Julia. - : arXiv, 2017 BASE Show details 13 Unsupervised grammar induction with Combinatory Categorial Grammars Bisk, Yonatan Yitzhak. - 2015 BASE Show details

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