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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 4 5 6 Hits 1 – 20 of 108 1 Communicating artificial neural networks develop efficient color-naming systems Chaabouni, Rahma; Kharitonov, Eugene; Dupoux, Emmanuel... In: ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.inria.fr/hal-03329084 ; Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2021, 118 (12), ⟨10.1073/pnas.2016569118⟩ (2021) BASE Show details 2 On the proper role of linguistically-oriented deep net analysis in linguistic theorizing ... Baroni, Marco. - : arXiv, 2021 BASE Show details 3 How BPE Affects Memorization in Transformers ... Kharitonov, Eugene; Baroni, Marco; Hupkes, Dieuwke. - : arXiv, 2021 BASE Show details 4 Communicating artificial neural networks develop efficient color-naming systems Chaabouni, Rahma; Kharitonov, Eugene; Dupoux, Emmanuel... In: Proc Natl Acad Sci U S A (2021) BASE Show details 5 Compositionality and Generalization in Emergent Languages Chaabouni, Rahma; Kharitonov, Eugene; Bouchacourt, Diane... In: ACL 2020 - 8th annual meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02959466 ; ACL 2020 - 8th annual meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States (2020) BASE Show details 6 Syntactic Structure from Deep Learning ... Linzen, Tal; Baroni, Marco. - : arXiv, 2020 BASE Show details 7 Mechanisms for Handling Nested Dependencies in Neural-Network Language Models and Humans ... Lakretz, Yair; Hupkes, Dieuwke; Vergallito, Alessandra. - : arXiv, 2020 BASE Show details 8 A Benchmark for Systematic Generalization in Grounded Language Understanding ... Ruis, Laura; Andreas, Jacob; Baroni, Marco. - : arXiv, 2020 BASE Show details 9 Linguistic generalization and compositionality in modern artificial neural networks Baroni, Marco In: Philos Trans R Soc Lond B Biol Sci (2020) BASE Show details 10 Anti-efficient encoding in emergent communication Chaabouni, Rahma; Kharitonov, Eugene; Dupoux, Emmanuel... In: https://hal.archives-ouvertes.fr/hal-02274205 ; 2019 (2019) BASE Show details 11 Word-order biases in deep-agent emergent communication Chaabouni, Rahma; Kharitonov, Eugene; Lazaric, Alessandro... In: ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02274157 ; ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy (2019) BASE Show details 12 EGG: a toolkit for research on Emergence of lanGuage in Games Kharitonov, Eugene; Chaabouni, Rahma; Bouchacourt, Diane... In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations ; https://hal.archives-ouvertes.fr/hal-02274229 ; Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, Nov 2019, Hong Kong, China. ⟨10.18653/v1/D19-3010⟩ (2019) BASE Show details 13 On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study ... Blasi, Damian; Cotterell, Ryan; Wolf-Sonkin, Lawrence. - : Association for Computational Linguistics, 2019 BASE Show details 14 Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game ... Dessì, Roberto; Bouchacourt, Diane; Crepaldi, Davide. - : arXiv, 2019 BASE Show details 15 Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level Neural Language Models Trained on Unsegmented Text ... Hahn, Michael; Baroni, Marco. - : arXiv, 2019 BASE Show details 16 Colorless green recurrent networks dream hierarchically Gulordava, Kristina; Bojanowski, Piotr; Grave, Edouard... In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 17 What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties Conneau, Alexis; Kruszewski, German; Lample, Guillaume... In: ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01898412 ; ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Jul 2018, Melbourne, Australia. pp.2126-2136 (2018) BASE Show details 18 How agents see things: On visual representations in an emergent language game ... Bouchacourt, Diane; Baroni, Marco. - : arXiv, 2018 BASE Show details 19 What you can cram into a single vector: Probing sentence embeddings for linguistic properties ... Conneau, Alexis; Kruszewski, German; Lample, Guillaume. - : arXiv, 2018 BASE Show details 20 Colorless green recurrent networks dream hierarchically ... Gulordava, Kristina; Bojanowski, Piotr; Grave, Edouard; Linzen, Tal; Baroni, Marco. - : arXiv, 2018 Abstract: Recurrent neural networks (RNNs) have achieved impressive results in a variety of linguistic processing tasks, suggesting that they can induce non-trivial properties of language. We investigate here to what extent RNNs learn to track abstract hierarchical syntactic structure. We test whether RNNs trained with a generic language modeling objective in four languages (Italian, English, Hebrew, Russian) can predict long-distance number agreement in various constructions. We include in our evaluation nonsensical sentences where RNNs cannot rely on semantic or lexical cues ("The colorless green ideas I ate with the chair sleep furiously"), and, for Italian, we compare model performance to human intuitions. Our language-model-trained RNNs make reliable predictions about long-distance agreement, and do not lag much behind human performance. We thus bring support to the hypothesis that RNNs are not just shallow-pattern extractors, but they also acquire deeper grammatical competence. ... : Accepted to NAACL 2018 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1803.11138 https://arxiv.org/abs/1803.11138 BASE Hide details Page: 1 2 3 4 5 6

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