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Shane Steinert-Threlkeld
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2020 – today
- 2024
- [c17]C. M. Downey, Terra Blevins, Dhwani Serai, Dwija Parikh, Shane Steinert-Threlkeld:
Targeted Multilingual Adaptation for Low-resource Language Families. EMNLP (Findings) 2024: 15647-15663 - [i19]Nicolas Guérin, Shane Steinert-Threlkeld, Emmanuel Chemla:
The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation. CoRR abs/2403.18031 (2024) - [i18]C. M. Downey, Terra Blevins, Dhwani Serai, Dwija Parikh, Shane Steinert-Threlkeld:
Targeted Multilingual Adaptation for Low-resource Language Families. CoRR abs/2405.12413 (2024) - [i17]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 abs/2405.15750 (2024) - 2023
- [j11]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) - [c16]Shunjie Wang, Shane Steinert-Threlkeld:
Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages. BlackboxNLP@EMNLP 2023: 271-283 - [c15]Shane Steinert-Threlkeld, Naomi Tachikawa Shapiro:
Iconic Artificial Language Learning: A Conceptual Replication with English Speakers. CogSci 2023 - [i16]Yifan Jiang, Shane Steinert-Threlkeld:
The Weighted Möbius Score: A Unified Framework for Feature Attribution. CoRR abs/2305.09204 (2023) - [i15]Shunjie Wang, Shane Steinert-Threlkeld:
Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages. CoRR abs/2309.00857 (2023) - [i14]C. M. Downey, Terra Blevins, Nora Goldfine, Shane Steinert-Threlkeld:
Embedding structure matters: Comparing methods to adapt multilingual vocabularies to new languages. CoRR abs/2309.04679 (2023) - 2022
- [j10]Milica Denic, Shane Steinert-Threlkeld, Jakub Szymanik:
Indefinite Pronouns Optimize the Simplicity/Informativeness Trade-Off. Cogn. Sci. 46(5) (2022) - [j9]Philippe Schlenker, Camille Coye, Shane Steinert-Threlkeld, Nathan Klinedinst, Emmanuel Chemla
Beyond Anthropocentrism in Comparative Cognition: Recentering Animal Linguistics. Cogn. Sci. 46(12) (2022) - [c14]Chih-chan Tien, Shane Steinert-Threlkeld:
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining. ACL (1) 2022: 8696-8706 - [c13]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: 142-152 - [c12]Pangbo Ban, Yifan Jiang, Tianran Liu, Shane Steinert-Threlkeld:
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis. BlackboxNLP@EMNLP 2022: 314-324 - [i13]C. M. Downey, Leo Z. Liu, Xuhui Zhou, Shane Steinert-Threlkeld:
Learning to translate by learning to communicate. CoRR abs/2207.07025 (2022) - [i12]Pangbo Ban, Yifan Jiang
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis. CoRR abs/2209.04761 (2022) - [i11]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 abs/2209.04811 (2022) - 2021
- [j8]Fausto Carcassi
Monotone Quantifiers Emerge via Iterated Learning. Cogn. Sci. 45(8) (2021) - [j7]Shane Steinert-Threlkeld
Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals. Entropy 23(10): 1335 (2021) - [c11]Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld:
Language Models Use Monotonicity to Assess NPI Licensing. ACL/IJCNLP (Findings) 2021: 4958-4969 - [c10]Iris van de Pol, Paul Lodder, Leendert van Maanen, Shane Steinert-Threlkeld, Jakub Szymanik:
Quantifiers satisfying semantic universals are simpler. CogSci 2021 - [c9]Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld:
A multilabel approach to morphosyntactic probing. EMNLP (Findings) 2021: 4486-4524 - [i10]Chih-chan Tien, Shane Steinert-Threlkeld:
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining. CoRR abs/2104.07642 (2021) - [i9]C. M. Downey, Fei Xia, Gina-Anne Levow, Shane Steinert-Threlkeld:
A Masked Segmental Language Model for Unsupervised Natural Language Segmentation. CoRR abs/2104.07829 (2021) - [i8]Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld:
A multilabel approach to morphosyntactic probing. CoRR abs/2104.08464 (2021) - [i7]Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld:
Language Models Use Monotonicity to Assess NPI Licensing. CoRR abs/2105.13818 (2021) - 2020
- [j6]Shane Steinert-Threlkeld:
An Explanation of the Veridical Uniformity Universal. J. Semant. 37(1): 129-144 (2020) - [c8]Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld:
On the Spontaneous Emergence of Discrete and Compositional Signals. ACL 2020: 4794-4800 - [c7]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: 126-135 - [c6]Milica Denic, Shane Steinert-Threlkeld, Jakub Szymanik:
Complexity/informativeness trade-off in the domain of indefinite pronouns. CogSci 2020 - [i6]Nur Geffen Lan, Emmanuel Chemla
On the Spontaneous Emergence of Discrete and Compositional Signals. CoRR abs/2005.00110 (2020) - [i5]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 abs/2010.08580 (2020) - [i4]Graham Todd, Shane Steinert-Threlkeld, Christopher Potts:
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents. CoRR abs/2012.04107 (2020)
2010 – 2019
- 2019
- [c5]Fausto Carcassi, Shane Steinert-Threlkeld, Jakub Szymanik:
The emergence of monotone quantifiers via iterated learning. CogSci 2019: 190-196 - [c4]Iris van de Pol, Shane Steinert-Threlkeld, Jakub Szymanik:
Complexity and learnability in the explanation of semantic universals of quantifiers. CogSci 2019: 3015-3021 - [i3]Lewis O'Sullivan, Shane Steinert-Threlkeld:
Neural Models of the Psychosemantics of 'Most'. CoRR abs/1904.02734 (2019) - [i2]Shane Steinert-Threlkeld:
Paying Attention to Function Words. CoRR abs/1909.11060 (2019) - 2018
- [j5]Peter Hawke
Informational dynamics of epistemic possibility modals. Synth. 195(10): 4309-4342 (2018) - [c3]Sandro Pezzelle
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. ACL (2) 2018: 114-119 - [i1]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 abs/1806.00354 (2018) - 2016
- [j4]Shane Steinert-Threlkeld:
Some Properties of Iterated Languages. J. Log. Lang. Inf. 25(2): 191-213 (2016) - [j3]Shane Steinert-Threlkeld:
Compositional Signaling in a Complex World. J. Log. Lang. Inf. 25(3-4): 379-397 (2016) - [j2]Grigori Mints, Shane Steinert-Threlkeld:
ADC method of proof search for intuitionistic propositional natural deduction. J. Log. Comput. 26(1): 395-408 (2016) - 2015
- [c2]Peter Hawke
Informational Dynamics of 'Might' Assertions. LORI 2015: 143-155 - 2012
- [j1]Shane Steinert-Threlkeld, Siamak Ardekani
Ontological labels for automated location of anatomical shape differences. J. Biomed. Informatics 45(3): 522-527 (2012) - 2011
- [c1]Shane Steinert-Threlkeld, Siamak Ardekani
Ontological Labels for Automated Location of Left Ventricular Remodeling. ICSC 2011: 572-573
Coauthor Index
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