Shane Steinert-Threlkeld

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 44

Top Topics

Natural Language

Method For Automatically Generating

Top Venues

BlackboxNLP@EMNLP

Publications

Nicolas Guérin, Shane Steinert-Threlkeld, Emmanuel Chemla
The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation. CoRR (2024)
C. M. Downey, Terra Blevins, Dhwani Serai, Dwija Parikh, Shane Steinert-Threlkeld
Targeted Multilingual Adaptation for Low-resource Language Families. CoRR (2024)
Abhinav Patil, Jaap Jumelet, Yu Ying Chiu, Andy Lapastora, Peter Shen, Lexie Wang, Clevis Willrich, Shane Steinert-Threlkeld
Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence. CoRR (2024)
Shunjie Wang, Shane Steinert-Threlkeld
Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages. BlackboxNLP@EMNLP (2023)
Yifan Jiang, Shane Steinert-Threlkeld
The Weighted Möbius Score: A Unified Framework for Feature Attribution. CoRR (2023)
Shunjie Wang, Shane Steinert-Threlkeld
Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages. CoRR (2023)
C. M. Downey, Terra Blevins, Nora Goldfine, Shane Steinert-Threlkeld
Embedding structure matters: Comparing methods to adapt multilingual vocabularies to new languages. CoRR (2023)
Sonia Ramotowska, Shane Steinert-Threlkeld, Leendert van Maanen, Jakub Szymanik
Uncovering the Structure of Semantic Representations Using a Computational Model of Decision-Making. Cogn. Sci. 47 (1) (2023)
Shane Steinert-Threlkeld, Naomi Tachikawa Shapiro
Iconic Artificial Language Learning: A Conceptual Replication with English Speakers. CogSci (2023)
Pangbo Ban, Yifan Jiang, Tianran Liu, Shane Steinert-Threlkeld
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis. CoRR (2022)
David K. Yi, James V. Bruno, Jiayu Han, Peter Zukerman, Shane Steinert-Threlkeld
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models. CoRR (2022)
Milica Denic, Shane Steinert-Threlkeld, Jakub Szymanik
Indefinite Pronouns Optimize the Simplicity/Informativeness Trade-Off. Cogn. Sci. 46 (5) (2022)
Pangbo Ban, Yifan Jiang, Tianran Liu, Shane Steinert-Threlkeld
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis. BlackboxNLP@EMNLP (2022)
Chih-chan Tien, Shane Steinert-Threlkeld
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining. ACL (1) (2022)
C. M. Downey, Leo Z. Liu, Xuhui Zhou, Shane Steinert-Threlkeld
Learning to translate by learning to communicate. CoRR (2022)
David K. Yi, James V. Bruno, Jiayu Han, Peter Zukerman, Shane Steinert-Threlkeld
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models. BlackboxNLP@EMNLP (2022)
Philippe Schlenker, Camille Coye, Shane Steinert-Threlkeld, Nathan Klinedinst, Emmanuel Chemla
Beyond Anthropocentrism in Comparative Cognition: Recentering Animal Linguistics. Cogn. Sci. 46 (12) (2022)
Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld
Language Models Use Monotonicity to Assess NPI Licensing. CoRR (2021)
C. M. Downey, Fei Xia, Gina-Anne Levow, Shane Steinert-Threlkeld
A Masked Segmental Language Model for Unsupervised Natural Language Segmentation. CoRR (2021)
Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld
Language Models Use Monotonicity to Assess NPI Licensing. ACL/IJCNLP (Findings) (2021)
Iris van de Pol, Paul Lodder, Leendert van Maanen, Shane Steinert-Threlkeld, Jakub Szymanik
Quantifiers satisfying semantic universals are simpler. CogSci (2021)
Fausto Carcassi, Shane Steinert-Threlkeld, Jakub Szymanik
Monotone Quantifiers Emerge via Iterated Learning. Cogn. Sci. 45 (8) (2021)
Shane Steinert-Threlkeld
Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals. Entropy 23 (10) (2021)
Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld
A multilabel approach to morphosyntactic probing. EMNLP (Findings) (2021)
Chih-chan Tien, Shane Steinert-Threlkeld
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining. CoRR (2021)
Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld
A multilabel approach to morphosyntactic probing. CoRR (2021)
Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld
On the Spontaneous Emergence of Discrete and Compositional Signals. ACL (2020)
Milica Denic, Shane Steinert-Threlkeld, Jakub Szymanik
Complexity/informativeness trade-off in the domain of indefinite pronouns. CogSci (2020)
Graham Todd, Shane Steinert-Threlkeld, Christopher Potts
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents. CoRR (2020)
Shane Steinert-Threlkeld
An Explanation of the Veridical Uniformity Universal. J. Semant. 37 (1) (2020)
Chuanrong Li, Lin Shengshuo, Leo Z. Liu, Xinyi Wu, Xuhui Zhou, Shane Steinert-Threlkeld
Linguistically-Informed Transformations (LIT): A Method forAutomatically Generating Contrast Sets. CoRR (2020)
Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld
On the Spontaneous Emergence of Discrete and Compositional Signals. CoRR (2020)
Chuanrong Li, Lin Shengshuo, Zeyu Liu, Xinyi Wu, Xuhui Zhou, Shane Steinert-Threlkeld
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets. BlackboxNLP@EMNLP (2020)
Shane Steinert-Threlkeld
Paying Attention to Function Words. CoRR (2019)
Lewis O'Sullivan, Shane Steinert-Threlkeld
Neural Models of the Psychosemantics of 'Most'. CoRR (2019)
Iris van de Pol, Shane Steinert-Threlkeld, Jakub Szymanik
Complexity and learnability in the explanation of semantic universals of quantifiers. CogSci (2019)
Fausto Carcassi, Shane Steinert-Threlkeld, Jakub Szymanik
The emergence of monotone quantifiers via iterated learning. CogSci (2019)
Peter Hawke, Shane Steinert-Threlkeld
Informational dynamics of epistemic possibility modals. Synth. 195 (10) (2018)
Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. ACL (2) (2018)
Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. CoRR (2018)
Shane Steinert-Threlkeld
Compositional Signaling in a Complex World. J. Log. Lang. Inf. 25 (3-4) (2016)
Grigori Mints, Shane Steinert-Threlkeld
ADC method of proof search for intuitionistic propositional natural deduction. J. Log. Comput. 26 (1) (2016)
Shane Steinert-Threlkeld
Some Properties of Iterated Languages. J. Log. Lang. Inf. 25 (2) (2016)
Peter Hawke, Shane Steinert-Threlkeld
Informational Dynamics of 'Might' Assertions. LORI (2015)
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
Ontological labels for automated location of anatomical shape differences. J. Biomed. Informatics 45 (3) (2012)
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
Ontological Labels for Automated Location of Left Ventricular Remodeling. ICSC (2011)