fMRI reveals language-specific predictive coding during naturalistic sentence comprehension C Shain, IA Blank, M van Schijndel, W Schuler, E Fedorenko Neuropsychologia 138, 107307, 2020 | 174 | 2020 |
Quantity doesn't buy quality syntax with neural language models M Van Schijndel, A Mueller, T Linzen Proceedings of EMNLP 2019, 2019 | 94 | 2019 |
All bark and no bite: Rogue dimensions in transformer language models obscure representational quality W Timkey, M Van Schijndel arXiv preprint arXiv:2109.04404, 2021 | 78 | 2021 |
A Neural Model of Adaptation in Reading M van Schijndel, T Linzen Proceedings of EMNLP 2018, 2018 | 77 | 2018 |
Salience and attention in surprisal-based accounts of language processing A Zarcone, M Van Schijndel, J Vogels, V Demberg Frontiers in psychology 7, 195410, 2016 | 72 | 2016 |
Single‐stage prediction models do not explain the magnitude of syntactic disambiguation difficulty M Van Schijndel, T Linzen Cognitive science 45 (6), e12988, 2021 | 70 | 2021 |
Modeling garden path effects without explicit hierarchical syntax. M Van Schijndel, T Linzen Proceedings of CogSci 2018, 2018 | 70 | 2018 |
A model of language processing as hierarchic sequential prediction M van Schijndel, A Exley, W Schuler Topics in Cognitive Science 5 (3), 522-540, 2013 | 69 | 2013 |
Using priming to uncover the organization of syntactic representations in neural language models G Prasad, M Van Schijndel, T Linzen Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019 | 55 | 2019 |
Memory access during incremental sentence processing causes reading time latency C Shain, M Van Schijndel, R Futrell, E Gibson, W Schuler Proceedings of the workshop on computational linguistics for linguistic …, 2016 | 52 | 2016 |
Hierarchic syntax improves reading time prediction M Van Schijndel, W Schuler Proceedings of the 2015 conference of the North American Chapter of the …, 2015 | 49 | 2015 |
Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars. L Nguyen, M Van Schijndel, W Schuler Proceedings of COLING, 2125-2140, 2012 | 46 | 2012 |
Investigating locality effects and surprisal in written English syntactic choice phenomena R Rajkumar, M Van Schijndel, M White, W Schuler Cognition 155, 204-232, 2016 | 39 | 2016 |
An Analysis of Frequency- and Memory-Based Processing Costs. M Van Schijndel, W Schuler Proceedings of NAACL-HLT, 95-105, 2013 | 31 | 2013 |
Recurrent neural network language models always learn English-like relative clause attachment F Davis, M Van Schijndel Proceedings of ACL 2020, 2020 | 21 | 2020 |
Discourse structure interacts with reference but not syntax in neural language models F Davis, M van Schijndel arXiv preprint arXiv:2010.04887, 2020 | 19 | 2020 |
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension. Neuropsychologia, 138, Article 107307 C Shain, IA Blank, M van Schijndel, W Schuler, E Fedorenko | 16 | 2020 |
Frequency effects in the processing of unbounded dependencies M van Schijndel, W Schuler, PW Culicover Annual Meeting of the Cognitive Science Society (CogSci), 2014 | 15 | 2014 |
An analysis of memory-based processing costs using incremental deep syntactic dependency parsing M Van Schijndel, L Nguyen, W Schuler Workshop on Cognitive Modeling and Computational Linguistics (CMCL), 2013 | 14 | 2013 |
Can entropy explain successor surprisal effects in reading? M van Schijndel, T Linzen arXiv preprint arXiv:1810.11481, 2018 | 13 | 2018 |