Tal Linzen

发表

Colorless Green Recurrent Networks Dream Hierarchically

Edouard Grave, Marco Baroni, Kristina Gulordava, 2018, NAACL.

BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance pdf

R. Thomas McCoy, Tal Linzen, Junghyun Min, 2019, BLACKBOXNLP.

Prediction and uncertainty in an artificial language

Tal Linzen, Noam Siegelman, Louisa Bogaerts, 2017, CogSci.

A Neural Model of Adaptation in Reading

Tal Linzen, Marten Van Schijndel, Marten van Schijndel, 2018, EMNLP.

Quantity doesn’t buy quality syntax with neural language models pdf

Tal Linzen, Marten van Schijndel, Aaron Mueller, 2019, EMNLP.

Uncertainty and Expectation in Sentence Processing: Evidence From Subcategorization Distributions

Tal Linzen, T. Florian Jaeger, T. Jaeger, 2016, Cogn. Sci..

Issues in evaluating semantic spaces using word analogies pdf

Tal Linzen, Tal Linzen, 2016, RepEval@ACL.

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference pdf

R. Thomas McCoy, Ellie Pavlick, Tal Linzen, 2019, ACL.

Distinct patterns of syntactic agreement errors in recurrent networks and humans pdf

Tal Linzen, Brian Leonard, Tal Linzen, 2018, CogSci.

Agreement attraction errors in neural networks

Tal Linzen, Tal Linzen, 2017 .

Syntactic Data Augmentation Increases Robustness to Inference Heuristics

R. Thomas McCoy, Dipanjan Das, Emily Pitler, 2020, ACL.

Comparing Character-level Neural Language Models Using a Lexical Decision Task

Emmanuel Dupoux, Tal Linzen, Gaël Le Godais, 2017, EACL.

Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2018, Salt Lake City, Utah, USA, January 7, 2018

Tal Linzen, Marten van Schijndel, Asad Sayeed, 2018, CMCL.

A model of rapid phonotactic generalization

Tal Linzen, Timothy O'Donnell, Tal Linzen, 2015, EMNLP.

How Can We Accelerate Progress Towards Human-like Linguistic Generalization?

Tal Linzen, Tal Linzen, 2020, ACL.

Neural network learning of the Russian genitive of negation: optionality and structure sensitivity

Tal Linzen, Natalia Talmina, Tal Linzen, 2020, SCIL.

The Timecourse of Generalization in Phonotactic Learning

Tal Linzen, Gillian Gallagher, Tal Linzen, 2014 .

What can linguistics and deep learning contribute to each other? Response to Pater

Tal Linzen, Tal Linzen, 2018, Language.

Morphological conditioning of phonological regularization

Tal Linzen, Maria Gouskova, Tal Linzen, 2015 .

Cross-Linguistic Syntactic Evaluation of Word Prediction Models pdf

Tal Linzen, Aaron Mueller, Garrett Nicolai, 2020, ACL.

Quantificational features in distributional word representations

Emmanuel Dupoux, Benjamin Spector, Tal Linzen, 2016, *SEMEVAL.

Do self-paced reading studies provide evidence for rapid syntactic adaptation?

Tal Linzen, Grusha Prasad, 2018 .

Can Entropy Explain Successor Surprisal Effects in Reading? pdf

Tal Linzen, Marten Van Schijndel, Marten van Schijndel, 2018, ArXiv.

Lexical Preactivation in Basic Linguistic Phrases

Alec Marantz, Tal Linzen, Joseph Fruchter, 2015, Journal of Cognitive Neuroscience.

Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models

Tal Linzen, Marten van Schijndel, Grusha Prasad, 2019, CoNLL.

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

Emmanuel Dupoux, Yoav Goldberg, Tal Linzen, 2016, TACL.

Human few-shot learning of compositional instructions pdf

Marco Baroni, Brenden M. Lake, Tal Linzen, 2019, CogSci.

Analyzing and interpreting neural networks for NLP: A report on the first BlackboxNLP workshop

Grzegorz Chrupala, Afra Alishahi, Tal Linzen, 2019, Natural Language Engineering.

Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs

Michael A. Lepori, R. Thomas McCoy, Tal Linzen, 2020, ACL.

Targeted Syntactic Evaluation of Language Models

Tal Linzen, Rebecca Marvin, Tal Linzen, 2018, EMNLP 2018.

Modeling garden path effects without explicit hierarchical syntax

Tal Linzen, Marten Van Schijndel, Marten van Schijndel, 2018, CogSci.

Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks

R. Thomas McCoy, Tal Linzen, Robert Frank, 2020, TACL.

Non-entailed subsequences as a challenge for natural language inference pdf

R. Thomas McCoy, Tal Linzen, Tal Linzen, 2018, ArXiv.

Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages pdf

Yoav Goldberg, Tal Linzen, Shauli Ravfogel, 2019, NAACL.

Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017)

William Schuler, Asad B. Sayeed, Tal Linzen, 2017 .

Lexical and phonological variation in Russian

Tal Linzen, Maria Gouskova, Sofya Kasyanenko, 2013 .

The diminishing role of inalienability in the Hebrew possessive dative

Tal Linzen, Tal Linzen, 2015 .

RNNs Implicitly Implement Tensor Product Representations pdf

Ewan Dunbar, R. Thomas McCoy, Tal Linzen, 2018, ICLR.

Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks pdf

Robert Frank, R. Thomas McCoy, Tal Linzen, 2018, CogSci.

Rapid generalization in phonotactic learning

Tal Linzen, Gillian Gallagher, Tal Linzen, 2017 .

Evaluating vector space models using human semantic priming results

Allyson Ettinger, Tal Linzen, Tal Linzen, 2016, RepEval@ACL.

How much harder are hard garden-path sentences than easy ones?

Tal Linzen, Grusha Prasad, Tal Linzen, 2019, CogSci.

Preference for locality is affected by the prefix/suffix asymmetry

Sharon Peperkamp, Andrew Nevins, René Kager, 2015 .

Syntactic Structure from Deep Learning pdf

Marco Baroni, Tal Linzen, Marco Baroni, 2020, Annual Review of Linguistics.

COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

Tal Linzen, Najoung Kim, Tal Linzen, 2020, EMNLP.

Phonological (un)certainty weights lexical activation pdf

David Poeppel, Alec Marantz, Laura Gwilliams, 2017, CMCL.

Colorless Green Recurrent Networks Dream Hierarchically

Edouard Grave, Marco Baroni, Kristina Gulordava, 2018, North American Chapter of the Association for Computational Linguistics.

Targeted Syntactic Evaluation of Language Models

Tal Linzen, Rebecca Marvin, Tal Linzen, 2018, EMNLP.

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension pdf

Alex Wang, Samuel R. Bowman, Benjamin Van Durme, 2019, *SEMEVAL.

Proceedings of the 2018 EMNLP Workshop BlackboxNLP : Analyzing and Interpreting Neural Networks for NLP

Yonatan Belinkov, Grzegorz Chrupala, Tal Linzen, 2018 .

Exploring the Syntactic Abilities of RNNs with Multi-task Learning pdf

Yoav Goldberg, Émile Enguehard, Tal Linzen, 2017, CoNLL.

Investigating the role of entropy in sentence processing

Tal Linzen, T. Florian Jaeger, T. Jaeger, 2014, CMCL@ACL.

The timecourse of phonotactic learning

Tal Linzen, Gillian Gallagher, 2014, CogSci.

Using syntactic priming to investigate how recurrent neural networks represent syntax

Tal Linzen, Marten van Schijndel, Grusha Prasad, 2019 .

Universal linguistic inductive biases via meta-learning pdf

Thomas L. Griffiths, R. Thomas McCoy, Erin Grant, 2020, CogSci.

Syntactic context effects in visual word recognition: An MEG study

Alec Marantz, Tal Linzen, Liina Pylkkänen, 2013 .

Discovering the Compositional Structure of Vector Representations with Role Learning Networks pdf

R. Thomas McCoy, Tal Linzen, Paul Smolensky, 2019, BLACKBOXNLP.

Frequency Effects on Syntactic Rule Learning in Transformers pdf

Ellie Pavlick, Tal Linzen, Dan Garrette, 2021, EMNLP.

NOPE: A Corpus of Naturally-Occurring Presuppositions in English pdf

Sebastian Schuster, Samuel R. Bowman, Soo-Hwan Lee, 2021, CONLL.

Improving Compositional Generalization with Latent Structure and Data Augmentation pdf

Kristina Toutanova, Fei Sha, Peter Shaw, 2021, ArXiv.

Does Putting a Linguist in the Loop Improve NLU Data Collection?

Samuel R. Bowman, Soo-Hwan Lee, Tal Linzen, 2021, EMNLP.

Predicting Inductive Biases of Pre-Trained Models

Ellie Pavlick, Tal Linzen, Charles Lovering, 2021, ICLR.

Structure Here, Bias There: Hierarchical Generalization by Jointly Learning Syntactic Transformations

Tal Linzen, Robert Frank, Karl Mulligan, 2021, SCIL.

Single-Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty

Tal Linzen, Marten van Schijndel, 2021, Cogn. Sci..

Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models

Yonatan Belinkov, Stuart M. Shieber, Sebastian Gehrmann, 2021, ACL.

Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction pdf

Yoav Goldberg, Tal Linzen, Grusha Prasad, 2021, CONLL.

Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark pdf

David Reitter, Hannah Rashkin, Tal Linzen, 2021, Transactions of the Association for Computational Linguistics.

Syntactic categories as lexical features or syntactic heads: A MEG approach

Alec Marantz, Tal Linzen, Jean-Rémi King, 2016 .

What can linguistics and deep learning contribute to each other? Response to Pater

Tal Linzen, 2019, Language.

BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance pdf

R. Thomas McCoy, Tal Linzen, Junghyun Min, 2020, BLACKBOXNLP.