Shane Steinert-Threlkeld

According to our database, Shane Steinert-Threlkeld authored at least 38 papers between 2011 and 2024.

Collaborative distances:

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

2024

Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence.

Abhinav Patil, Jaap Jumelet, Yu Ying Chiu, Andy Lapastora, Peter Shen, Lexie Wang, Clevis Willrich, Shane Steinert-Threlkeld

CoRR, 2024

Targeted Multilingual Adaptation for Low-resource Language Families.

C. M. Downey, Terra Blevins, Dhwani Serai, Dwija Parikh, Shane Steinert-Threlkeld

CoRR, 2024

The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation.

Nicolas Guérin, Shane Steinert-Threlkeld, Emmanuel Chemla

CoRR, 2024

2023

Uncovering the Structure of Semantic Representations Using a Computational Model of Decision-Making.

Sonia Ramotowska, Shane Steinert-Threlkeld, Leendert van Maanen, Jakub Szymanik

Cogn. Sci., January, 2023

Embedding structure matters: Comparing methods to adapt multilingual vocabularies to new languages.

C. M. Downey, Terra Blevins, Nora Goldfine, Shane Steinert-Threlkeld

CoRR, 2023

The Weighted Möbius Score: A Unified Framework for Feature Attribution.

Yifan Jiang, Shane Steinert-Threlkeld

CoRR, 2023

Iconic Artificial Language Learning: A Conceptual Replication with English Speakers.

Shane Steinert-Threlkeld, Naomi Tachikawa Shapiro

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

Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages.

Shunjie Wang, Shane Steinert-Threlkeld

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

2022

Beyond Anthropocentrism in Comparative Cognition: Recentering Animal Linguistics.

Philippe Schlenker, Camille Coye, Shane Steinert-Threlkeld, Nathan Klinedinst, Emmanuel Chemla

Cogn. Sci., December, 2022

Learning to translate by learning to communicate.

C. M. Downey, Leo Z. Liu, Xuhui Zhou, Shane Steinert-Threlkeld

CoRR, 2022

Indefinite Pronouns Optimize the Simplicity/Informativeness Trade-Off.

Milica Denic, Shane Steinert-Threlkeld, Jakub Szymanik

Cogn. Sci., 2022

Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models.

David K. Yi, James V. Bruno, Jiayu Han, Peter Zukerman, Shane Steinert-Threlkeld

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis.

Pangbo Ban, Yifan Jiang, Tianran Liu, Shane Steinert-Threlkeld

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining.

Chih-chan Tien, Shane Steinert-Threlkeld

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals.

Shane Steinert-Threlkeld

Entropy, 2021

A Masked Segmental Language Model for Unsupervised Natural Language Segmentation.

C. M. Downey, Fei Xia, Gina-Anne Levow, Shane Steinert-Threlkeld

CoRR, 2021

Monotone Quantifiers Emerge via Iterated Learning.

Fausto Carcassi, Shane Steinert-Threlkeld, Jakub Szymanik

Cogn. Sci., 2021

A multilabel approach to morphosyntactic probing.

Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Quantifiers satisfying semantic universals are simpler.

Iris van de Pol, Paul Lodder, Leendert van Maanen, Shane Steinert-Threlkeld, Jakub Szymanik

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

Language Models Use Monotonicity to Assess NPI Licensing.

Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld

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

2020

An Explanation of the Veridical Uniformity Universal.

Shane Steinert-Threlkeld

J. Semant., 2020

Learning Compositional Negation in Populations of Roth-Erev and Neural Agents.

Graham Todd, Shane Steinert-Threlkeld, Christopher Potts

CoRR, 2020

Linguistically-Informed Transformations (LIT): A Method forAutomatically Generating Contrast Sets.

Chuanrong Li, Lin Shengshuo, Leo Z. Liu, Xinyi Wu, Xuhui Zhou, Shane Steinert-Threlkeld

CoRR, 2020

Complexity/informativeness trade-off in the domain of indefinite pronouns.

Milica Denic, Shane Steinert-Threlkeld, Jakub Szymanik

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets.

Chuanrong Li, Lin Shengshuo, Zeyu Liu, Xinyi Wu, Xuhui Zhou, Shane Steinert-Threlkeld

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

On the Spontaneous Emergence of Discrete and Compositional Signals.

Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld

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

2019

Paying Attention to Function Words.

Shane Steinert-Threlkeld

CoRR, 2019

Neural Models of the Psychosemantics of 'Most'.

Lewis O'Sullivan, Shane Steinert-Threlkeld

CoRR, 2019

Complexity and learnability in the explanation of semantic universals of quantifiers.

Iris van de Pol, Shane Steinert-Threlkeld, Jakub Szymanik

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

The emergence of monotone quantifiers via iterated learning.

Fausto Carcassi, Shane Steinert-Threlkeld, Jakub Szymanik

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

2018

Informational dynamics of epistemic possibility modals.

Peter Hawke, Shane Steinert-Threlkeld

Synth., 2018

Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers.

Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

ADC method of proof search for intuitionistic propositional natural deduction.

Grigori Mints, Shane Steinert-Threlkeld

J. Log. Comput., 2016

Compositional Signaling in a Complex World.

Shane Steinert-Threlkeld

J. Log. Lang. Inf., 2016

Some Properties of Iterated Languages.

Shane Steinert-Threlkeld

J. Log. Lang. Inf., 2016

2015

Informational Dynamics of 'Might' Assertions.

Peter Hawke, Shane Steinert-Threlkeld

Proceedings of the Logic, Rationality, and Interaction - 5th International Workshop, 2015

2012

Ontological labels for automated location of anatomical shape differences.

Shane Steinert-Threlkeld, Siamak Ardekani, José L. V. Mejino Jr., Landon Detwiler, James F. Brinkley, Michael Halle, Ron Kikinis, Raimond L. Winslow, Michael I. Miller, J. Tilak Ratnanather

J. Biomed. Informatics, 2012

2011

Ontological Labels for Automated Location of Left Ventricular Remodeling.

Shane Steinert-Threlkeld, Siamak Ardekani, José L. V. Mejino Jr., Landon Detwiler, James F. Brinkley, Michael Halle, Ron Kikinis, Raimond L. Winslow, Michael I. Miller, J. Tilak Ratnanather

Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), 2011