Roger Levy

Affiliations:
  • Massachusetts Institute of Technology (MIT), Department of Brain and Cognitive Sciences, Cambridge, MA, USA
  • University of California, San Diego, Department of Linguistics, La Jolla, CA, USA
  • University of Edinburgh, School of Informatics, UK
  • Stanford University, CA, USA (PhD 2005)


According to our database1, Roger Levy authored at least 131 papers between 2003 and 2024.

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Bibliography

2024
Multimodal Input Aids a Bayesian Model of Phonetic Learning.
CoRR, 2024

Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models.
CoRR, 2024

Finding structure in logographic writing with library learning.
CoRR, 2024

Learning Phonotactics from Linguistic Informants.
CoRR, 2024

Language models align with human judgments on key grammatical constructions.
CoRR, 2024

2023
Rational Sentence Interpretation in Mandarin Chinese.
Cogn. Sci., December, 2023

Testing the Predictions of Surprisal Theory in 11 Languages.
Trans. Assoc. Comput. Linguistics, 2023

On the Effect of Anticipation on Reading Times.
Trans. Assoc. Comput. Linguistics, 2023

Expectations over Unspoken Alternatives Predict Pragmatic Inferences.
Trans. Assoc. Comput. Linguistics, 2023

A Cross-Linguistic Pressure for Uniform Information Density in Word Order.
Trans. Assoc. Comput. Linguistics, 2023

The neural dynamics of auditory word recognition and integration.
CoRR, 2023

Prompt-based methods may underestimate large language models' linguistic generalizations.
CoRR, 2023

Probing Self-supervised Speech Models for Phonetic and Phonemic Information: A Case Study in Aspiration.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Prompting is not a substitute for probability measurements in large language models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The neural dynamics of word recognition and integration.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Simplicity and Informativeness in the Evolution of Combinatorial Structure.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Language model acceptability judgements are not always robust to context.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Towards Human-Agent Communication via the Information Bottleneck Principle.
CoRR, 2022

How Adults Understand What Young Children Say.
CoRR, 2022

Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback.
CoRR, 2022

Trading off Utility, Informativeness, and Complexity in Emergent Communication.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Probing for Incremental Parse States in Autoregressive Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Teasing apart models of pragmatics using optimal reference game design.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Rational Inference from Number Agreement Mismatch.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Evidence for Availability Effects on Speaker Choice in the Russian Comparative Alternation.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

The emergence of discrete and systematic communication in a continuous signal-meaning space.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Flexible Generation from Fragmentary Linguistic Input.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Analyzing Wrap-Up Effects through an Information-Theoretic Lens.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Scalable pragmatic communication via self-supervision.
CoRR, 2021

A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans.
CoRR, 2021

What if This Modified That? Syntactic Interventions via Counterfactual Embeddings.
CoRR, 2021

Grammar-Based Grounded Lexicon Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Revisiting the Uniform Information Density Hypothesis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Empirical Support for a Rate-Distortion Account of Pragmatic Reasoning.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Using the Interpolated Maze Task to Assess Incremental Processing in English Relative Clauses.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Competition from novel features drives scalar inferences in reference games.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

On Factors Influencing Typing Time: Insights from a Viral Online Typing Game.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Eye Movement Traces of Linguistic Knowledge.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

A Targeted Assessment of Incremental Processing in Neural Language Models and Humans.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

What if This Modified That? Syntactic Interventions with Counterfactual Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Structural Guidance for Transformer Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Rate-Distortion view of human pragmatic reasoning.
CoRR, 2020

Lossy-Context Surprisal: An Information-Theoretic Model of Memory Effects in Sentence Processing.
Cogn. Sci., 2020

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Bridging Information-Seeking Human Gaze and Machine Reading Comprehension.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Cloze Distillation: Improving Neural Language Models with Human Next-Word Prediction.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Informational goals, sentence structure, and comparison class inference.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Integrating Semantics Into Developmental Models of Morphology Learning.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Children's Expressive and Receptive Knowledge of the English Regular Plural.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Jointly learning motion verbs and frame semantics from natural language and grounded scenes.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Hierarchical Inferences Support Systematicity in the Lexicon.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

A Systematic Assessment of Syntactic Generalization in Neural Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SyntaxGym: An Online Platform for Targeted Evaluation of Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

STARC: Structured Annotations for Reading Comprehension.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Simple dynamic word embeddings for mapping perceptions in the public sphere.
CoRR, 2019

Structural Supervision Improves Learning of Non-Local Grammatical Dependencies.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Language Learning and Processing in People and Machines.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural language models as psycholinguistic subjects: Representations of syntactic state.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Linking artificial and human neural representations of language.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Availability-Based Production Predicts Speakers' Real-time Choices of Mandarin Classifiers.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

What Syntactic Structures block Dependencies in RNN Language Models?
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Incremental understanding of conjunctive generic sentences.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Incorporating Semantic Constraints into Algorithms for Unsupervised Learning of Morphology.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Inferring Structured Visual Concepts from Minimal Data.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Iconicity and Structure in the Emergence of Combinatoriality.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A rational model of syntactic bootstrapping.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Query-guided visual search.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations.
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

2018
Do RNNs learn human-like abstract word order preferences?
CoRR, 2018

RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency.
CoRR, 2018

Comparing Theories of Speaker Choice Using a Model of Classifier Production in Mandarin Chinese.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Assessing Language Proficiency from Eye Movements in Reading.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

What do RNN Language Models Learn about Filler-Gap Dependencies?
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Comparing Theories of Speaker Choice Using Classifier Production in Mandarin Chinese.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Communicative Efficiency, Uniform Information Density, and the Rational Speech Act Theory.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Pragmatic Inference of Intended Referents from Binomial Word Order.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Inductive Biases in the Evolution of Combinatorial Structure in Language.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Word learning and the acquisition of syntactic-semantic overhypotheses.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Post Hoc Analysis Decisions Drive the Reported Reading Time Effects in Hackl, Koster-Hale & Varvoutis (2012).
J. Semant., 2017

A Statistical Comparison of Some Theories of NP Word Order.
CoRR, 2017

Noisy-context surprisal as a human sentence processing cost model.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Modeling Sources of Uncertainty in Spoken Word Learning.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Embedded Implicatures as Pragmatic Inferences under Compositional Lexical Uncertainty.
J. Semant., 2016

A Computational Model of Linguistic Humor in Puns.
Cogn. Sci., 2016

Data-driven learning of symbolic constraints for a log-linear model in a phonological setting.
Proceedings of the COLING 2016, 2016

Bayesian Pronoun Interpretation in Mandarin Chinese.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Structure-sensitive Noise Inference: Comprehenders Expect Exchange Errors.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Modeling idiosyncratic preferences: How generative knowledge and expression frequency jointly determine language structure.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

The role of abstraction in non-native speech perception.
J. Phonetics, 2014

Nonparametric Learning of Phonological Constraints in Optimality Theory.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Combining multiple information types in Bayesian word segmentation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Modeling the Development of Determiner Productivity in Children's Early Speech.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

The Funny Thing About Incongruity: A Computational Model of Humor in Puns.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Evidence for cognitively controlled saccade targeting in reading.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

A model of generalization in distributional learning of phonetic categories.
Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics, 2013

2012
Can native-language perceptual bias facilitate learning words in a new language?
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Word predictability and frequency effects in a rational model of reading.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Verb omission errors: Evidence of rational processing of noisy language inputs.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

That's what she (could have) said: How alternative utterances affect language use.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Sequential vs. Hierarchical Syntactic Models of Human Incremental Sentence Processing.
Proceedings of the 3rd Workshop on Cognitive Modeling and Computational Linguistics, 2012

Why long words take longer to read: the role of uncertainty about word length.
Proceedings of the 3rd Workshop on Cognitive Modeling and Computational Linguistics, 2012

2011
Cloze but no cigar: The complex relationship between cloze, corpus, and subjective probabilities in language processing.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Phonological generalization from distributional evidence.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Why readers regress to previous words: A statistical analysis.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Bilingual Random Walk Models for Automated Grammar Correction of ESL Author-Produced Text.
Proceedings of the Sixth Workshop on Innovative Use of NLP for Building Educational Applications, 2011

Automated Whole Sentence Grammar Correction Using a Noisy Channel Model.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Computational psycholinguistics.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 1, 2010, Los Angeles, California, USA, 2010

A new approach to cross-modal multimedia retrieval.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

A Rational Model of Eye Movement Control in Reading.
Proceedings of the ACL 2010, 2010

2009
Minimal-length linearizations for mildly context-sensitive dependency trees.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

2008
Modeling the effects of memory on human online sentence processing with particle filters.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Noisy-Channel Model of Human Sentence Comprehension under Uncertain Input.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2006
Speakers optimize information density through syntactic reduction.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Tregex and Tsurgeon: tools for querying and manipulating tree data structures.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

2004
Deep Dependencies from Context-Free Statistical Parsers: Correcting the Surface Dependency Approximation.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003
A Generative Model for Semantic Role Labeling.
Proceedings of the Machine Learning: ECML 2003, 2003

Is it Harder to Parse Chinese, or the Chinese Treebank?
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003


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