Richard Futrell

According to our database, Richard Futrell authored at least 59 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

How Linguistics Learned to Stop Worrying and Love the Language Models.

Richard Futrell, Kyle Mahowald

CoRR, January, 2025

2024

Decomposition of surprisal: Unified computational model of ERP components in language processing.

Jiaxuan Li, Richard Futrell

CoRR, 2024

A hierarchical Bayesian model for syntactic priming.

Weijie Xu, Richard Futrell

CoRR, 2024

Linguistic Structure from a Bottleneck on Sequential Information Processing.

Richard Futrell, Michael Hahn

CoRR, 2024

An information-theoretic model of shallow and deep language comprehension.

Jiaxuan Li, Richard Futrell

CoRR, 2024

Syntactic dependency length shaped by strategic memory allocation.

Weijie Xu, Richard Futrell

Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, 2024

Mission: Impossible Language Models.

Julie Kallini, Isabel Papadimitriou, Richard Futrell, Kyle Mahowald, Christopher Potts

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science.

Richard Futrell

Comput. Linguistics, March, 2023

An Information-Theoretic Account of Availability Effects in Language Production.

Richard Futrell

Top. Cogn. Sci., 2023

Evaluating a Century of Progress on the Cognitive Science of Adjective Ordering.

William Dyer, Charles Torres, Gregory Scontras, Richard Futrell

Trans. Assoc. Comput. Linguistics, 2023

A Cross-Linguistic Pressure for Uniform Information Density in Word Order.

Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, Michael Hahn, Ryan Cotterell, Richard Futrell, Roger Levy

Trans. Assoc. Comput. Linguistics, 2023

Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters.

Manikanta Loya, Divya Anand Sinha, Richard Futrell

CoRR, 2023

The Linearity of the Effect of Surprisal on Reading Times across Languages.

Weijie Xu, Jason Chon, Tianran Liu, Richard Futrell

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Simpler neural networks prefer subregular languages.

Charles Torres, Richard Futrell

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters.

Manikanta Loya, Divya Sinha, Richard Futrell

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Typing time PWI: A scalable paradigm for studying lexical production.

Shiva Upadhye, Richard Futrell

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Chinese words shorten in more predictive contexts.

Yanting Li, Gregory Scontras, Richard Futrell

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

A decomposition of surprisal tracks the N400 and P600 brain potentials.

Jiaxuan Li, Richard Futrell

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

A unified information-theoretic model of EEG signatures of human language processing.

Jiaxuan Li, Richard Futrell

CoRR, 2022

Grammatical cues are largely, but not completely, redundant with word meanings in natural language.

Kyle Mahowald, Evgeniia Diachek, Edward Gibson, Evelina Fedorenko, Richard Futrell

CoRR, 2022

Assessing Corpus Evidence for Formal and Psycholinguistic Constraints on Nonprojectivity.

Himanshu Yadav, Samar Husain, Richard Futrell

Comput. Linguistics, 2022

Measuring Morphological Fusion Using Partial Information Decomposition.

Michaela Socolof, Jacob Louis Hoover, Richard Futrell, Alessandro Sordoni, Timothy J. O'Donnell

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Syntactic adaptation to short-term cue-based distributional regularities.

Weijie Xu, Jiaxuan Li, Ming Xiang, Richard Futrell

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Explaining patterns of fusion in morphological paradigms using the memory-surprisal tradeoff.

Neil Rathi, Michael Hahn, Richard Futrell

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

The efficiency of dropping vowels in Romanised Arabic script.

Zeinab Kachakeche, Gregory Scontras, Richard Futrell

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

When classifying grammatical role, BERT doesn't care about word order... except when it matters.

Isabel Papadimitriou, Richard Futrell, Kyle Mahowald

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Sensitivity as a Complexity Measure for Sequence Classification Tasks.

Michael Hahn, Dan Jurafsky, Richard Futrell

Trans. Assoc. Comput. Linguistics, 2021

The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions.

Richard Futrell, Edward Gibson, Harry J. Tily, Idan Blank, Anastasia Vishnevetsky, Steven T. Piantadosi, Evelina Fedorenko

Lang. Resour. Evaluation, 2021

An Information-Theoretic Characterization of Morphological Fusion.

Neil Rathi, Michael Hahn, Richard Futrell

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT.

Isabel Papadimitriou, Ethan A. Chi, Richard Futrell, Kyle Mahowald

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Word order affects the frequency of adjective use across languages.

Zeinab Kachakeche, Richard Futrell, Gregory Scontras

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Predicting cross-linguistic adjective order with information gain.

William Dyer, Richard Futrell, Zoey Liu, Gregory Scontras

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

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

Richard Futrell, Edward Gibson, Roger P. Levy

Cogn. Sci., 2020

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models.

Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks.

Richard Futrell, William Dyer, Gregory Scontras

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Estimating Predictive Rate-Distortion Curves via Neural Variational Inference.

Michael Hahn, Richard Futrell

Entropy, 2019

Structural Supervision Improves Learning of Non-Local Grammatical Dependencies.

Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy

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.

Aida Nematzadeh, Richard Futrell, Roger Levy

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.

Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

What Syntactic Structures block Dependencies in RNN Language Models?

Ethan Wilcox, Roger Levy, Richard Futrell

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Verb Frequency Explains the Unacceptability of Factive and Manner-of-speaking Islands in English.

Yingtong Liu, Rachel Ryskin, Richard Futrell, Edward Gibson

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations.

Ethan Wilcox, Roger Levy, Richard Futrell

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

2018

Alternative Solutions to a Language Design Problem: The Role of Adjectives and Gender Marking in Efficient Communication.

Melody Dye, Petar Milin, Richard Futrell, Michael Ramscar

Top. Cogn. Sci., 2018

Do RNNs learn human-like abstract word order preferences?

Richard Futrell, Roger P. Levy

CoRR, 2018

RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency.

Richard Futrell, Ethan Wilcox, Takashi Morita, Roger Levy

CoRR, 2018

The Natural Stories Corpus.

Richard Futrell, Edward Gibson, Harry J. Tily, Idan Blank, Anastasia Vishnevetsky, Steven T. Piantadosi, Evelina Fedorenko

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

What do RNN Language Models Learn about Filler-Gap Dependencies?

Ethan Wilcox, Roger Levy, Takashi Morita, Richard Futrell

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

An Information-Theoretic Explanation of Adjective Ordering Preferences.

Michael Hahn, Judith Degen, Noah D. Goodman, Dan Jurafsky, Richard Futrell

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

A Generative Model of Phonotactics.

Richard Futrell, Adam Albright, Peter Graff, Timothy J. O'Donnell

Trans. Assoc. Comput. Linguistics, 2017

A Statistical Comparison of Some Theories of NP Word Order.

Richard Futrell, Roger Levy, Matthew Dryer

CoRR, 2017

Noisy-context surprisal as a human sentence processing cost model.

Richard Futrell, Roger Levy

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Comprehenders Model the Nature of Noise in the Environment.

Rachel Ryskin, Richard Futrell, Edward Gibson

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Cute Little Puppies and Nice Cold Beers: An Information Theoretic Analysis of Prenominal Adjectives.

Melody Dye, Petar Milin, Richard Futrell, Michael Ramscar

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Response to Liu, Xu, and Liang (2015) and Ferrer-i-Cancho and Gómez-Rodríguez (2015) on Dependency Length Minimization.

Richard Futrell, Kyle Mahowald, Edward Gibson

Glottometrics, 2016

Memory access during incremental sentence processing causes reading time latency.

Cory Shain, Marten van Schijndel, Richard Futrell, Edward Gibson, William Schuler

Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity, 2016

2015

Experiments with Generative Models for Dependency Tree Linearization.

Richard Futrell, Edward Gibson

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Quantifying Word Order Freedom in Dependency Corpora.

Richard Futrell, Kyle Mahowald, Edward Gibson

Proceedings of the Third International Conference on Dependency Linguistics, 2015

The Social Evolution and Communicative Function of Noun Classification.

Michael Ramscar, Melody Dye, Petar Milin, Richard Futrell

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2013

The 'universal' structure of name grammars and the impact of social engineering on the evolution of natural information systems.

Michael Ramscar, Asha Halima Smith, Melody Dye, Richard Futrell, Peter Hendrix, R. Harald Baayen, Rebecca Starr

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013