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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 3 Hits 1 – 20 of 58 1 How Efficiency Shapes Human Language Gibson, Edward; Futrell, Richard; Piantadosi, Steven... In: https://hal.archives-ouvertes.fr/hal-03552539 ; 2022 (2022) BASE Show details 2 A verb-frame frequency account of constraints on long-distance dependencies in English Liu, Yingtong; Ryskin, Rachel; Futrell, Richard... In: Prof. Gibson (2022) BASE Show details 3 Dependency locality as an explanatory principle for word order Futrell, Richard; Levy, Roger P; Gibson, Edward A In: Prof. Levy (2022) BASE Show details 4 When classifying grammatical role, BERT doesn't care about word order... except when it matters ... Papadimitriou, Isabel; Futrell, Richard; Mahowald, Kyle. - : arXiv, 2022 Abstract: Because meaning can often be inferred from lexical semantics alone, word order is often a redundant cue in natural language. For example, the words chopped, chef, and onion are more likely used to convey "The chef chopped the onion," not "The onion chopped the chef." Recent work has shown large language models to be surprisingly word order invariant, but crucially has largely considered natural prototypical inputs, where compositional meaning mostly matches lexical expectations. To overcome this confound, we probe grammatical role representation in English BERT and GPT-2, on instances where lexical expectations are not sufficient, and word order knowledge is necessary for correct classification. Such non-prototypical instances are naturally occurring English sentences with inanimate subjects or animate objects, or sentences where we systematically swap the arguments to make sentences like "The onion chopped the chef". We find that, while early layer embeddings are largely lexical, word order is in fact ... : ACL 2022 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2203.06204 https://dx.doi.org/10.48550/arxiv.2203.06204 BASE Hide details 5 Grammatical cues are largely, but not completely, redundant with word meanings in natural language ... Mahowald, Kyle; Diachek, Evgeniia; Gibson, Edward. - : arXiv, 2022 BASE Show details 6 Learning Constraints on Wh-Dependencies by Learning How to Efficiently Represent Wh-Dependencies: A Developmental Modeling Investigation With Fragment Grammars Dickson, Niels; Pearl, Lisa; Futrell, Richard In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 7 When Classifying Arguments, BERT Doesn't Care About Word Order. Except When It Matters Papadimitriou, Isabel; Futrell, Richard; Mahowald, Kyle In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 8 Word order affects the frequency of adjective use across languages Kachakeche, Zeinab; Futrell, Richard; Scontras, Gregory In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 9 Syntactic dependencies correspond to word pairs with high mutual information Futrell, Richard; Qian, Peng; Gibson, Edward A... In: Association for Computational Linguistics (2021) BASE Show details 10 Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations Wilcox, Ethan; Levy, Roger P; Futrell, Richard In: Association for Computational Linguistics (2021) BASE Show details 11 Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models Wilcox, Ethan; Futrell, Richard; Qian, Peng... In: Association for Computational Linguistics (2021) BASE Show details 12 Syntactic dependencies correspond to word pairs with high mutual information Futrell, Richard; Qian, Peng; Gibson, Edward... In: Association for Computational Linguistics (2021) BASE Show details 13 Structural Supervision Improves Learning of Non-Local Grammatical Dependencies Wilcox, Ethan; Qian, Peng; Futrell, Richard... In: Association for Computational Linguistics (2021) BASE Show details 14 Maze Made Easy: Better and easier measurement of incremental processing difficulty Boyce, Veronica; Futrell, Richard; Levy, Roger P In: Other repository (2021) BASE Show details 15 An Information-Theoretic Characterization of Morphological Fusion ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Futrell, Richard; Hahn, Michael. - : Underline Science Inc., 2021 BASE Show details 16 Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT ... Papadimitriou, Isabel; Chi, Ethan A.; Futrell, Richard. - : arXiv, 2021 BASE Show details 17 Multilingual BERT, Ergativity, and Grammatical Subjecthood ... Papadimitriou, Isabel; Chi, Ethan A.; Futrell, Richard. - : University of Massachusetts Amherst, 2021 BASE Show details 18 Sensitivity as a Complexity Measure for Sequence Classification Tasks ... Hahn, Michael; Jurafsky, Dan; Futrell, Richard. - : arXiv, 2021 BASE Show details 19 What do RNN Language Models Learn about Filler–Gap Dependencies? Wilcox, Ethan; Levy, Roger; Morita, Takashi... In: Association for Computational Linguistics (2021) BASE Show details 20 Language Learning and Processing in People and Machines Nematzadeh, Aida; Futrell, Richard; Levy, Roger P In: Association for Computational Linguistics (2021) BASE Show details Page: 1 2 3

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