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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 32 1 Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models ... Mueller, Aaron; Frank, Robert; Linzen, Tal. - : arXiv, 2022 BASE Show details 2 Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions Lee, Soo-Hwan; Schuster, Sebastian In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 3 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 6 NOPE: A Corpus of Naturally-Occurring Presuppositions in English ... Parrish, Alicia; Schuster, Sebastian; Warstadt, Alex. - : arXiv, 2021 BASE Show details 7 NOPE: A Corpus of Naturally-Occurring Presuppositions in English ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Alex; Agha, Omar; Bowman, Samuel R.; Lee, Soo-Hwan; Linzen, Tal; Parrish, Alicia; Schuster, Sebastian; Zhao, Zhuoye. - : Underline Science Inc., 2021 Abstract: Understanding language requires grasping not only the overtly stated content, but also making inferences about things that were left unsaid. These inferences include presuppositions, a phenomenon by which a listener learns about new information through reasoning about what a speaker takes as given. Presuppositions require complex understanding of the lexical and syntactic properties that trigger them as well as the broader conversational context. In this work, we introduce the Naturally-Occurring Presuppositions in English (NOPE) Corpus to investigate the context-sensitivity of 10 different types of presupposition triggers and to evaluate machine learning models' ability to predict human inferences. We find that most of the triggers we investigate exhibit moderate variability. We further find that transformer-based models draw correct inferences in simple cases involving presuppositions, but they fail to capture the minority of exceptional cases in which human judgments reveal complex interactions between ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/39852-nope-a-corpus-of-naturally-occurring-presuppositions-in-english https://dx.doi.org/10.48448/9h8y-ey95 BASE Hide details 8 Predicting Scalar Inferences From "Or" to "Not Both" Using Neural Sentence Encoders Li, Elissa; Schuster, Sebastian; Degen, Judith In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 9 I’ve got a construction looks funny – representing and recovering non-standard constructions in UD Ruppenhofer, Josef [Verfasser]; Rehbein, Ines [Verfasser]; de Marneffe, Marie-Catherine [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 10 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 11 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 12 Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ... Nivre, Joakim; de Marneffe, Marie-Catherine; Ginter, Filip. - : arXiv, 2020 BASE Show details 13 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 14 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 15 Harnessing the linguistic signal to predict scalar inferences ... Schuster, Sebastian; Chen, Yuxing; Degen, Judith. - : arXiv, 2019 BASE Show details 16 Kauderwelsch, kryptische Aussagen und Fachvokabular : Wirkung des Politikerdeutschen auf Jugendliche und Jungwähler Schuster, Sebastian [Verfasser]. - München : GRIN Verlag, 2018 DNB Subject Category Language Show details 17 Kauderwelsch, kryptische Aussagen und Fachvokabular : Wirkung des Politikerdeutschen auf Jugendliche und Jungwähler Schuster, Sebastian [Verfasser]. - München : GRIN Verlag, 2018 DNB Subject Category Language Show details 18 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 19 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 20 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details Page: 1 2

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