Tal Linzen

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R. Thomas McCoyPhD Student in Cognitive Science, Johns Hopkins UniversityVerified email at jhu.edu
Yoav GoldbergProfessor, Bar Ilan UniversityVerified email at cs.biu.ac.il
Emmanuel DupouxProfessor of Cognitive Psychology, Ecole des Hautes Etudes en Sciences Sociales, ParisVerified email at ehess.fr
Alec MarantzProfessor of Linguistics and Psychology, NYUVerified email at nyu.edu
Marten van SchijndelCornell UniversityVerified email at cornell.edu
Marco BaroniICREA Professor (Barcelona) and FAIR Research Scientist (Paris)Verified email at fb.com
Ellie PavlickBrown UniversityVerified email at brown.edu
Tim Florian JaegerBrain and Cognitive Sciences, University of RochesterVerified email at ur.rochester.edu
Robert FrankProfessor of Linguistics, Yale UniversityVerified email at yale.edu
Kristina GulordavaPostdoc researcherVerified email at upf.edu
Paul SmolenskyMicrosoft Research AI & Krieger-Eisenhower Professor of Cognitive Science, Johns Hopkins UniversityVerified email at jhu.edu
Allyson EttingerUniversity of ChicagoVerified email at uchicago.edu
Laura GwilliamsUniversity of California, San FranciscoVerified email at ucsf.edu
Maria GouskovaProfessor, Department of Linguistics, New York UniversityVerified email at nyu.edu
gillian gallagherVerified email at nyu.edu
Brenden LakeAssistant Professor of Psychology and Data Science, New York UniversityVerified email at nyu.edu
Liina PylkkanenProfessor of Linguistics and Psychology, New York UniversityVerified email at nyu.edu
Timothy John O'DonnellMcGill University, MilaVerified email at mcgill.ca
Benjamin SpectorCNRS - Ecole Normale Supérieure - Institut Jean Nicod - PSL universityVerified email at ens.fr
Naama FriedmannProfessor of Neuropsycholinguistics, Tel Aviv UniversityVerified email at tauex.tau.ac.il

Tal Linzen

New York University

Verified email at jhu.edu - Homepage

Computational Linguistics Linguistics Cognitive Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies T Linzen, E Dupoux, Y Goldberg Transactions of the Association for Computational Linguistics 4, 521-535, 2016	490	2016
Colorless green recurrent networks dream hierarchically K Gulordava, P Bojanowski, E Grave, T Linzen, M Baroni Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018	253	2018
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference RT McCoy, E Pavlick, T Linzen Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019	252	2019
Targeted Syntactic Evaluation of Language Models R Marvin, T Linzen Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018	143	2018
Issues in evaluating semantic spaces using word analogies T Linzen Proceedings of the First Workshop on Evaluating Vector Space Representations …, 2016	119	2016
Uncertainty and expectation in sentence processing: evidence from subcategorization distributions T Linzen, TF Jaeger Cognitive Science 40 (6), 1382-1411, 2016	80	2016
The role of morphology in phoneme prediction: Evidence from MEG A Ettinger, T Linzen, A Marantz Brain and Language 129, 14-23, 2014	55	2014
Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks RT McCoy, R Frank, T Linzen Proceedings of the 40th Annual Conference of the Cognitive Science Society, 2018	48	2018
In Spoken Word Recognition, the Future Predicts the Past L Gwilliams, T Linzen, D Poeppel, A Marantz Journal of Neuroscience 38 (35), 7585-7599, 2018	47	2018
Corpus of blog postings collected from the Israblog website T Linzen Tel Aviv: Tel Aviv University, 2009	46	2009
Lexical preactivation in basic linguistic phrases J Fruchter, T Linzen, M Westerlund, A Marantz Journal of Cognitive Neuroscience 27 (10), 1912-1935, 2015	42	2015
Human few-shot learning of compositional instructions BM Lake, T Linzen, M Baroni Proceedings of the 41st Annual Conference of the Cognitive Science Society, 2019	37	2019
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? T Linzen Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020	32	2020
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension N Kim, R Patel, A Poliak, A Wang, P Xia, RT McCoy, I Tenney, A Ross, ... arXiv preprint arXiv:1904.11544, 2019	32	2019
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance RT McCoy, J Min, T Linzen Proceedings of BlackboxNLP 2020, 2019	30	2019
Quantity doesn't buy quality syntax with neural language models M van Schijndel, A Mueller, T Linzen EMNLP 2019, 2019	30	2019
Lexical and phonological variation in Russian prepositions T Linzen, S Kasyanenko, M Gouskova Phonology 30 (3), 453-515, 2013	30	2013
The reliability of acceptability judgments across languages T Linzen, Y Oseki Glossa: a journal of general linguistics 3 (1), 2018	29	2018
Modeling garden path effects without explicit hierarchical syntax M van Schijndel, T Linzen Proceedings of the 40th Annual Conference of the Cognitive Science Society, 2018	29	2018
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages S Ravfogel, Y Goldberg, T Linzen NAACL, 2019	25	2019

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