Shane Steinert-Threlkeld

Orcid: 0000-0001-8906-266X

According to our database1, Shane Steinert-Threlkeld authored at least 38 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence.
CoRR, 2024

Targeted Multilingual Adaptation for Low-resource Language Families.
CoRR, 2024

The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation.
CoRR, 2024

2023
Uncovering the Structure of Semantic Representations Using a Computational Model of Decision-Making.
Cogn. Sci., January, 2023

Embedding structure matters: Comparing methods to adapt multilingual vocabularies to new languages.
CoRR, 2023

The Weighted Möbius Score: A Unified Framework for Feature Attribution.
CoRR, 2023

Iconic Artificial Language Learning: A Conceptual Replication with English Speakers.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages.
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

2022
Beyond Anthropocentrism in Comparative Cognition: Recentering Animal Linguistics.
Cogn. Sci., December, 2022

Learning to translate by learning to communicate.
CoRR, 2022

Indefinite Pronouns Optimize the Simplicity/Informativeness Trade-Off.
Cogn. Sci., 2022

Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models.
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.
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.
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.
Entropy, 2021

A Masked Segmental Language Model for Unsupervised Natural Language Segmentation.
CoRR, 2021

Monotone Quantifiers Emerge via Iterated Learning.
Cogn. Sci., 2021

A multilabel approach to morphosyntactic probing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Quantifiers satisfying semantic universals are simpler.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Language Models Use Monotonicity to Assess NPI Licensing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
An Explanation of the Veridical Uniformity Universal.
J. Semant., 2020

Learning Compositional Negation in Populations of Roth-Erev and Neural Agents.
CoRR, 2020

Linguistically-Informed Transformations (LIT): A Method forAutomatically Generating Contrast Sets.
CoRR, 2020

Complexity/informativeness trade-off in the domain of indefinite pronouns.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

On the Spontaneous Emergence of Discrete and Compositional Signals.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Paying Attention to Function Words.
CoRR, 2019

Neural Models of the Psychosemantics of 'Most'.
CoRR, 2019

Complexity and learnability in the explanation of semantic universals of quantifiers.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

The emergence of monotone quantifiers via iterated learning.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Informational dynamics of epistemic possibility modals.
Synth., 2018

Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016
ADC method of proof search for intuitionistic propositional natural deduction.
J. Log. Comput., 2016

Compositional Signaling in a Complex World.
J. Log. Lang. Inf., 2016

Some Properties of Iterated Languages.
J. Log. Lang. Inf., 2016

2015
Informational Dynamics of 'Might' Assertions.
Proceedings of the Logic, Rationality, and Interaction - 5th International Workshop, 2015

2012
Ontological labels for automated location of anatomical shape differences.
J. Biomed. Informatics, 2012

2011
Ontological Labels for Automated Location of Left Ventricular Remodeling.
Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), 2011


  Loading...