Shane Steinert-Threlkeld

53 papers A* 1B 6Journal 35Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differences in Typological Alignment in Language Models' Treatment of Differential Argument Marking.
CoRR
Iskar Deng, Nathalia Xu, Shane Steinert-Threlkeld
2026 J jnl
When Efficient Communication Explains Convexity.
CoRR
Ashvin Ranjan, Shane Steinert-Threlkeld
2024 J jnl
Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence.
Trans. Assoc. Comput. Linguistics
Abhinav Patil, Jaap Jumelet, Yu Ying Chiu, Andy Lapastora, Peter Shen, Lexie Wang, Clevis Willrich, Shane Steinert-Threlkeld
2024 J jnl
Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence.
CoRR
Abhinav Patil, Jaap Jumelet, Yu Ying Chiu, Andy Lapastora, Peter Shen, Lexie Wang, Clevis Willrich, Shane Steinert-Threlkeld
2024 B conf
Iconic Artificial Language Learning in the Field: An Experiment with San Martín Peras Mixtec Speakers.
CogSci
Naomi Tachikawa Shapiro, Andrew Hedding, Shane Steinert-Threlkeld
2024 J jnl
Minimization of Boolean Complexity in In-Context Concept Learning.
CoRR
Leroy Z. Wang, R. Thomas McCoy, Shane Steinert-Threlkeld
2024 — conf
Targeted Multilingual Adaptation for Low-resource Language Families.
EMNLP (Findings)
C. M. Downey, Terra Blevins, Dhwani Serai, Dwija Parikh, Shane Steinert-Threlkeld
2024 J jnl
Targeted Multilingual Adaptation for Low-resource Language Families.
CoRR
C. M. Downey, Terra Blevins, Dhwani Serai, Dwija Parikh, Shane Steinert-Threlkeld
2024 J jnl
The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation.
CoRR
Nicolas Guérin, Shane Steinert-Threlkeld, Emmanuel Chemla
2024 J jnl
The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation.
Trans. Mach. Learn. Res.
Nicolas Guérin, Emmanuel Chemla, Shane Steinert-Threlkeld
2023 J jnl
Embedding structure matters: Comparing methods to adapt multilingual vocabularies to new languages.
CoRR
C. M. Downey, Terra Blevins, Nora Goldfine, Shane Steinert-Threlkeld
2023 — conf
Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages.
BlackboxNLP@EMNLP
Shunjie Wang, Shane Steinert-Threlkeld
2023 J jnl
Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages.
CoRR
Shunjie Wang, Shane Steinert-Threlkeld
2023 B conf
Iconic Artificial Language Learning: A Conceptual Replication with English Speakers.
CogSci
Shane Steinert-Threlkeld, Naomi Tachikawa Shapiro
2023 J jnl
The Weighted Möbius Score: A Unified Framework for Feature Attribution.
CoRR
Yifan Jiang, Shane Steinert-Threlkeld
2023 J jnl
Uncovering the Structure of Semantic Representations Using a Computational Model of Decision-Making.
Cogn. Sci.
Sonia Ramotowska, Shane Steinert-Threlkeld, Leendert van Maanen, Jakub Szymanik
2022 J jnl
Beyond Anthropocentrism in Comparative Cognition: Recentering Animal Linguistics.
Cogn. Sci.
Philippe Schlenker, Camille Coye, Shane Steinert-Threlkeld, Nathan Klinedinst, Emmanuel Chemla
2022 — conf
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining.
ACL (1)
Chih-chan Tien, Shane Steinert-Threlkeld
2022 J jnl
Indefinite Pronouns Optimize the Simplicity/Informativeness Trade-Off.
Cogn. Sci.
Milica Denic, Shane Steinert-Threlkeld, Jakub Szymanik
2022 J jnl
Learning to translate by learning to communicate.
CoRR
C. M. Downey, Leo Z. Liu, Xuhui Zhou, Shane Steinert-Threlkeld
2022 — conf
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models.
BlackboxNLP@EMNLP
David K. Yi, James V. Bruno, Jiayu Han, Peter Zukerman, Shane Steinert-Threlkeld
2022 J jnl
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models.
CoRR
David K. Yi, James V. Bruno, Jiayu Han, Peter Zukerman, Shane Steinert-Threlkeld
2022 — conf
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis.
BlackboxNLP@EMNLP
Pangbo Ban, Yifan Jiang, Tianran Liu, Shane Steinert-Threlkeld
2022 J jnl
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis.
CoRR
Pangbo Ban, Yifan Jiang, Tianran Liu, Shane Steinert-Threlkeld
2021 J jnl
A Masked Segmental Language Model for Unsupervised Natural Language Segmentation.
CoRR
C. M. Downey, Fei Xia, Gina-Anne Levow, Shane Steinert-Threlkeld
2021 — conf
A multilabel approach to morphosyntactic probing.
EMNLP (Findings)
Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld
2021 J jnl
A multilabel approach to morphosyntactic probing.
CoRR
Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld
2021 J jnl
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining.
CoRR
Chih-chan Tien, Shane Steinert-Threlkeld
2021 — conf
Language Models Use Monotonicity to Assess NPI Licensing.
ACL/IJCNLP (Findings)
Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld
2021 J jnl
Language Models Use Monotonicity to Assess NPI Licensing.
CoRR
Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld
2021 J jnl
Monotone Quantifiers Emerge via Iterated Learning.
Cogn. Sci.
Fausto Carcassi, Shane Steinert-Threlkeld, Jakub Szymanik
2021 J jnl
Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals.
Entropy
Shane Steinert-Threlkeld
2021 B conf
Quantifiers satisfying semantic universals are simpler.
CogSci
Iris van de Pol, Paul Lodder, Leendert van Maanen, Shane Steinert-Threlkeld, Jakub Szymanik
2020 J jnl
An Explanation of the Veridical Uniformity Universal.
J. Semant.
Shane Steinert-Threlkeld
2020 B conf
Complexity/informativeness trade-off in the domain of indefinite pronouns.
CogSci
Milica Denic, Shane Steinert-Threlkeld, Jakub Szymanik
2020 J jnl
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents.
CoRR
Graham Todd, Shane Steinert-Threlkeld, Christopher Potts
2020 — conf
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets.
BlackboxNLP@EMNLP
Chuanrong Li, Lin Shengshuo, Zeyu Liu, Xinyi Wu, Xuhui Zhou, Shane Steinert-Threlkeld
2020 J jnl
Linguistically-Informed Transformations (LIT): A Method forAutomatically Generating Contrast Sets.
CoRR
Chuanrong Li, Lin Shengshuo, Leo Z. Liu, Xinyi Wu, Xuhui Zhou, Shane Steinert-Threlkeld
2020 A* conf
On the Spontaneous Emergence of Discrete and Compositional Signals.
ACL
Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld
2020 J jnl
On the Spontaneous Emergence of Discrete and Compositional Signals.
CoRR
Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld
2019 B conf
Complexity and learnability in the explanation of semantic universals of quantifiers.
CogSci
Iris van de Pol, Shane Steinert-Threlkeld, Jakub Szymanik
2019 J jnl
Neural Models of the Psychosemantics of 'Most'.
CoRR
Lewis O'Sullivan, Shane Steinert-Threlkeld
2019 J jnl
Paying Attention to Function Words.
CoRR
Shane Steinert-Threlkeld
2019 B conf
The emergence of monotone quantifiers via iterated learning.
CogSci
Fausto Carcassi, Shane Steinert-Threlkeld, Jakub Szymanik
2018 J jnl
Informational dynamics of epistemic possibility modals.
Synth.
Peter Hawke, Shane Steinert-Threlkeld
2018 — conf
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers.
ACL (2)
Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik
2018 J jnl
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers.
CoRR
Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik
2016 J jnl
ADC method of proof search for intuitionistic propositional natural deduction.
J. Log. Comput.
Grigori Mints, Shane Steinert-Threlkeld
2016 J jnl
Compositional Signaling in a Complex World.
J. Log. Lang. Inf.
Shane Steinert-Threlkeld
2016 J jnl
Some Properties of Iterated Languages.
J. Log. Lang. Inf.
Shane Steinert-Threlkeld
2015 — conf
Informational Dynamics of 'Might' Assertions.
LORI
Peter Hawke, Shane Steinert-Threlkeld
2012 J jnl
Ontological labels for automated location of anatomical shape differences.
J. Biomed. Informatics
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
2011 — conf
Ontological Labels for Automated Location of Left Ventricular Remodeling.
ICSC
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