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Neuroscientists evaluate deep neural networks for natural language processing as possible candidate models for how language is processed in the brain.
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Toward a universal decoder of linguistic meaning from brain activation
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Yun-Nung Chen, Dilek Hakkani-Tur, Gokhan Tur, Asli Celikyilmaz, Jianfeng Gao, and Li Deng. 2016 · 2016
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Universal dependencies v1: A multilingual treebank collection
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Semantic dependency parsing (sdp) graph banks release 1.0 ldc2016t10
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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Towards universal semantic tagging
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Predicting neural activity patterns associated with sentences using a neurobiologically motivated model of semantic representation
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Language models are unsupervised multitask learners
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Inducing brain-relevant bias in natural language processing models
Dan Schwartz, Mariya Toneva, and Leila Wehbe. 2019 · 2019
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Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva and Leila Wehbe. 2019 · 2019
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Syntax-enhanced self-attention-based semantic role labeling
Yue Zhang, Rui Wang, and Luo Si. 2019 · 2019
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Language processing in brains and deep neural networks: computational convergence and its limits
Charlotte Caucheteux and Jean-Rémi King. 2020 · 2020
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Køpsala: Transition-based graph parsing via efficient training and effective encoding
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Emergent linguistic structure in artificial neural networks trained by self-supervision
Christopher D Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, and Omer Levy. 2020 · 2020
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Universal Dependencies v2: An evergrowing multilingual treebank collection
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, and Daniel Zeman. 2020 · 2020
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Artificial neural networks accurately predict language processing in the brain
Martin Schrimpf, Idan Blank, Greta Tuckute, Carina Kauf, Eghbal A. Hosseini, Nancy Kanwisher, Joshua Tenenbaum, and Evelina Fedorenko. 2020 · 2020
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Fine-grained neural decoding with distributed word representations
Shaonan Wang, Jiajun Zhang, Haiyan Wang, Nan Lin, and Chengqing Zong. 2020 · 2020
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On over-fitting in model selection and subsequent selection bias in performance evaluation
Gavin C Cawley and Nicola LC Talbot. 2010 · 2079
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