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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 29 1 Can computers tell a story? Discourse Structure in Computer-generated Text and Humans Wey, Alex; Hemmatian, Babak; Avram, Rachel... In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 2 The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality Feucht, Sheridan; Hemmatian, Babak; Avram, Rachel... In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 3 The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality Motivation ... Feucht, Sheridan; Hemmatian, Babak; Avram, Rachel. - : Unpublished, 2021 BASE Show details 4 Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering ... Kim, Najoung; Pavlick, Ellie; Ayan, Burcu Karagol. - : arXiv, 2021 BASE Show details 5 AND does not mean OR: Using Formal Languages to Study Language Models’ Representations ... 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; Feiman, Roman; Pavlick, Ellie. - : Underline Science Inc., 2021 BASE Show details 6 Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering ... 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; Karagol Ayan, Burcu; Kim, Najoung. - : Underline Science Inc., 2021 BASE Show details 7 AND does not mean OR: Using Formal Languages to Study Language Models’ Representations ... 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; Feiman, Roman; Pavlick, Ellie. - : Underline Science Inc., 2021 BASE Show details 8 AND does not mean OR: Using Formal Languages to Study Language Models’ Representations ... 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; Feiman, Roman; Pavlick, Ellie. - : Underline Science Inc., 2021 BASE Show details 9 AND does not mean OR: Using Formal Languages to Study Language Models’ Representations ... 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; Feiman, Roman; Pavlick, Ellie. - : Underline Science Inc., 2021 BASE Show details 10 Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Abdou, Mostafa; Frank, Stella. - : Underline Science Inc., 2021 BASE Show details 11 The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality ... 43rd Annual Meeting of the Cognitive Science Society 2021; Avram, Rachel; Eickhoff, Carsten. - : Underline Science Inc., 2021 BASE Show details 12 Can computers tell a story? Discourse Structure in Computer-generated Text and Humans ... 43rd Annual Meeting of the Cognitive Science Society 2021; Avram, Rachel; Eickhoff, Carsten. - : Underline Science Inc., 2021 BASE Show details 13 Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions ... 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; Do, Nam; Pavlick, Ellie. - : Underline Science Inc., 2021 BASE Show details 14 Does Vision-and-Language Pretraining Improve Lexical Grounding? ... Yun, Tian; Sun, Chen; Pavlick, Ellie. - : arXiv, 2021 Abstract: Linguistic representations derived from text alone have been criticized for their lack of grounding, i.e., connecting words to their meanings in the physical world. Vision-and-Language (VL) models, trained jointly on text and image or video data, have been offered as a response to such criticisms. However, while VL pretraining has shown success on multimodal tasks such as visual question answering, it is not yet known how the internal linguistic representations themselves compare to their text-only counterparts. This paper compares the semantic representations learned via VL vs. text-only pretraining for two recent VL models using a suite of analyses (clustering, probing, and performance on a commonsense question answering task) in a language-only setting. We find that the multimodal models fail to significantly outperform the text-only variants, suggesting that future work is required if multimodal pretraining is to be pursued as a means of improving NLP in general. ... : Camera ready for Findings of EMNLP 2021 ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences URL: https://arxiv.org/abs/2109.10246 https://dx.doi.org/10.48550/arxiv.2109.10246 BASE Hide details 15 Does Vision-and-Language Pretraining Improve Lexical Grounding? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Pavlick, Ellie; Sun, Chen. - : Underline Science Inc., 2021 BASE Show details 16 Does Vision-and-Language Pretraining Improve Lexical Grounding? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Pavlick, Ellie; Sun, Chen. - : Underline Science Inc., 2021 BASE Show details 17 Frequency Effects on Syntactic Rule Learning in Transformers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Garrette, Dan; Linzen, Tal. - : Underline Science Inc., 2021 BASE Show details 18 Frequency Effects on Syntactic Rule Learning in Transformers ... Wei, Jason; Garrette, Dan; Linzen, Tal. - : arXiv, 2021 BASE Show details 19 Leveraging Longitudinal Data for Personalized Prediction and Word Representations Welch, Charles. - 2021 BASE Show details 20 A Visuospatial Dataset for Naturalistic Verb Learning ... Ebert, Dylan; Pavlick, Ellie. - : arXiv, 2020 BASE Show details Page: 1 2

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