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Ethan Gotlieb Wilcox
Ethan Gotlieb Wilcox
Asst. Prof. of Computational Linguistics @Georgetown. Previous: Postdoc @ETH, PhD @ Harvard
Potvrđena adresa e-pošte na georgetown.edu - Početna stranica
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Citirano
Citirano
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A systematic assessment of syntactic generalization in neural language models
J Hu, J Gauthier, P Qian, E Wilcox, RP Levy
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
2582020
Neural language models as psycholinguistic subjects: Representations of syntactic state
R Futrell, E Wilcox, T Morita, P Qian, M Ballesteros, R Levy
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
2382019
What do RNN Language Models Learn about Filler-Gap Dependencies?
EG Wilcox, R Levy, T Morita, R Futrell
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
2222018
On the predictive power of neural language models for human real-time comprehension behavior
EG Wilcox, J Gauthier, J Hu, P Qian, R Levy
Proceedings of the Annual Meeting of the Cognitive Science Society, 2020, 2020
1932020
Findings of the BabyLM Challenge: Sample-efficient pretraining on developmentally plausible corpora
A Warstadt, A Mueller, L Choshen, E Wilcox, C Zhuang, J Ciro, ...
Proceedings of the BabyLM Challenge at the 27th Conference on Computational …, 2023
982023
SyntaxGym: An online platform for targeted evaluation of language models
J Gauthier, J Hu, E Wilcox, P Qian, R Levy
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
952020
Using Computational Models to Test Syntactic Learnability
E Wilcox, R Futrell, R Levy
Linguistic Inquiry, 2021
852021
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
R Futrell
arXiv preprint arXiv:1809.01329, 2018
802018
Structural supervision improves learning of non-local grammatical dependencies
E Wilcox, P Qian, R Futrell, M Ballesteros, R Levy
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2019
732019
Testing the predictions of surprisal theory in 11 languages
EG Wilcox, T Pimentel, C Meister, R Cotterell, RP Levy
Transactions of the Association for Computational Linguistics 11, 1451-1470, 2023
702023
Controlled text generation with natural language instructions
W Zhou, YE Jiang, E Wilcox, R Cotterell, M Sachan
Proceedings of the International Conference on Machine Learning (ICML), 2023
672023
Hierarchical representation in neural language models: Suppression and recovery of expectations
E Wilcox, R Levy, R Futrell
Proceedings of the 2019 ACL Workshop Black- boxNLP: Analyzing and …, 2019
502019
Call for Papers--The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus
A Warstadt, L Choshen, A Mueller, A Williams, E Wilcox, C Zhuang
arXiv preprint arXiv:2301.11796, 2023
452023
A Targeted Assessment of Incremental Processing in Neural Language Models and Humans
E Gotlieb Wilcox, P Vani, RP Levy
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
45*2021
What syntactic structures block dependencies in RNN language models?
E Wilcox, R Levy, R Futrell
Proceedings of the Annual Meeting of the Cognitive Science Society, 2019
292019
On the Effect of Anticipation on Reading Times
T Pimentel, C Meister, EG Wilcox, R Levy, R Cotterell
Transactions of the Association for Computational Linguistics, 2022
242022
Representation of constituents in neural language models: Coordination phrase as a case study
A An, P Qian, E Wilcox, R Levy
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
222019
Investigating novel verb learning in BERT: Selectional preference classes and alternation-based syntactic generalization
T Thrush, E Wilcox, R Levy
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …, 2020
202020
Language model quality correlates with psychometric predictive power in multiple languages
EG Wilcox, CI Meister, R Cotterell, T Pimentel
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
192023
Structural supervision improves few-shot learning and syntactic generalization in neural language models
E Wilcox, P Qian, R Futrell, R Kohita, R Levy, M Ballesteros
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
192020
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