• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Choi, Yejin (31)
    • Swayamdipta, Swabha (6)
    • Zellers, Rowan (6)
    • Forbes, Maxwell (5)
    • Holtzman, Ari (5)
    • Sap, Maarten (5)
    • Smith, Noah A. (5)
    • 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 (5)
    • Bhagavatula, Chandra (4)
    • Lu, Ximing (4)
    •   more
  • 
    Year:
    
    • 2022 (2)
    • 2021 (15)
    • 2020 (4)
    • 2019 (2)
    • 2018 (3)
    • 2017 (2)
    • 2016 (1)
    • 2015 (1)
    • 2011 (1)
    • 2005 (2)
  • 
    Medium
  • 
    Type:
    
    • Article (14)
    • Miscellaneous (12)
    • Book (7)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

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. - : arXiv, 2021 BASE Show 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 Abstract: Thesis (Ph.D.)--University of Washington, 2021 ; Along with the meteoric rise of computation-hungry models, NLP research has also produced new handcrafted datasets. These datasets allow us to study problems that are difficult by web scraping alone. We can use such data to evaluate and extend machine learning models into new areas. One area of natural interest is work that connects NLP to the outside world. This dissertation describes four projects that present such datasets and computational models. Each project attempts to situate NLP in a context broader than text alone. As a common thread throughout, we make use of commonsense knowledge, either explicitly or implicitly. The first half of the dissertation covers two projects, Verb Physics and Social Chemistry, which contain explicit representations of commonsense knowledge. Respectively, they capture physical commonsense (e.g., that my house is bigger than I am) and social commonsense (e.g., that it's rude for my roommate to run the blender at 5am). The second half studies language production and evaluation. In this half, commonsense implicitly informs the work. Neural Naturalist addresses language generation from image comparisons. Scarecrow focuses on evaluating text generated by large language models. In the conclusion, we urge the field to embrace communication—not merely natural language—and thereby extend the richness of groundings we consider. Keyword: commonsense; Computer science; Computer science and engineering; computer vision; machine learning; natural language processing; NLP; social norms URL: http://hdl.handle.net/1773/48229 BASE Hide 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

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 33 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0