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 (ICSC, 2011)

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)

Informational Dynamics of 'Might' Assertions. - Peter Hawke; Shane Steinert-Threlkeld (LORI, 2015)

Some Properties of Iterated Languages. - Shane Steinert-Threlkeld (J. Log. Lang. Inf., 2016)

Compositional Signaling in a Complex World. - Shane Steinert-Threlkeld (J. Log. Lang. Inf., 2016)

ADC method of proof search for intuitionistic propositional natural deduction. - Grigori Mints; Shane Steinert-Threlkeld (J. Log. Comput., 2016)

Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. - Sandro Pezzelle; Shane Steinert-Threlkeld; Raffaella Bernardi; Jakub Szymanik (ACL (2), 2018)

Informational dynamics of epistemic possibility modals. - Peter Hawke; Shane Steinert-Threlkeld (Synth., 2018)

The emergence of monotone quantifiers via iterated learning. - Fausto Carcassi; Shane Steinert-Threlkeld; Jakub Szymanik (CogSci, 2019)

Complexity and learnability in the explanation of semantic universals of quantifiers. - Iris van de Pol; Shane Steinert-Threlkeld; Jakub Szymanik (CogSci, 2019)

Neural Models of the Psychosemantics of 'Most'. - Lewis O'Sullivan; Shane Steinert-Threlkeld (CoRR, 2019)

Paying Attention to Function Words. - Shane Steinert-Threlkeld (CoRR, 2019)

On the Spontaneous Emergence of Discrete and Compositional Signals. - Nur Geffen Lan; Emmanuel Chemla; Shane Steinert-Threlkeld (ACL, 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 (BlackboxNLP@EMNLP, 2020)

Complexity/informativeness trade-off in the domain of indefinite pronouns. - Milica Denic; Shane Steinert-Threlkeld; Jakub Szymanik (CogSci, 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)

Learning Compositional Negation in Populations of Roth-Erev and Neural Agents. - Graham Todd; Shane Steinert-Threlkeld; Christopher Potts (CoRR, 2020)

An Explanation of the Veridical Uniformity Universal. - Shane Steinert-Threlkeld (J. Semant., 2020)

Language Models Use Monotonicity to Assess NPI Licensing. - Jaap Jumelet; Milica Denic; Jakub Szymanik; Dieuwke Hupkes; Shane Steinert-Threlkeld (ACL/IJCNLP (Findings), 2021)

Quantifiers satisfying semantic universals are simpler. - Iris van de Pol; Paul Lodder; Leendert van Maanen; Shane Steinert-Threlkeld; Jakub Szymanik (CogSci, 2021)

A multilabel approach to morphosyntactic probing. - Naomi Tachikawa Shapiro; Amandalynne Paullada; Shane Steinert-Threlkeld (EMNLP (Findings), 2021)

Monotone Quantifiers Emerge via Iterated Learning. - Fausto Carcassi; Shane Steinert-Threlkeld; Jakub Szymanik (Cogn. Sci., 2021)

A Masked Segmental Language Model for Unsupervised Natural Language Segmentation. - C. M. Downey; Fei Xia; Gina-Anne Levow; Shane Steinert-Threlkeld (CoRR, 2021)

Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals. - Shane Steinert-Threlkeld (Entropy, 2021)

Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining. - Chih-chan Tien; Shane Steinert-Threlkeld (ACL (1), 2022)

Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis. - Pangbo Ban; Yifan Jiang 004; Tianran Liu; Shane Steinert-Threlkeld (BlackboxNLP@EMNLP, 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 (BlackboxNLP@EMNLP, 2022)

Indefinite Pronouns Optimize the Simplicity/Informativeness Trade-Off. - Milica Denic; Shane Steinert-Threlkeld; Jakub Szymanik (Cogn. Sci., 2022)

Learning to translate by learning to communicate. - C. M. Downey; Leo Z. Liu; Xuhui Zhou; Shane Steinert-Threlkeld (CoRR, 2022)

Beyond Anthropocentrism in Comparative Cognition: Recentering Animal Linguistics. - Philippe Schlenker; Camille Coye; Shane Steinert-Threlkeld; Nathan Klinedinst; Emmanuel Chemla (Cogn. Sci., 2022)

Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages. - Shunjie Wang; Shane Steinert-Threlkeld (BlackboxNLP@EMNLP, 2023)

Iconic Artificial Language Learning: A Conceptual Replication with English Speakers. - Shane Steinert-Threlkeld; Naomi Tachikawa Shapiro (CogSci, 2023)

The Weighted Möbius Score: A Unified Framework for Feature Attribution. - Yifan Jiang 004; Shane Steinert-Threlkeld (CoRR, 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)

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., 2023)

Targeted Multilingual Adaptation for Low-resource Language Families. - C. M. Downey; Terra Blevins; Dhwani Serai; Dwija Parikh; Shane Steinert-Threlkeld (EMNLP (Findings), 2024)

Minimization of Boolean Complexity in In-Context Concept Learning. - Leroy Z. Wang; R. Thomas McCoy; Shane Steinert-Threlkeld (CoRR, 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 (Trans. Assoc. Comput. Linguistics, 2024)

The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation. - Nicolas Guérin; Emmanuel Chemla; Shane Steinert-Threlkeld (Trans. Mach. Learn. Res., 2024)