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Peng Qian
Peng Qian
Harvard University and MIT
mit.edu의 이메일 확인됨 - 홈페이지
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A systematic assessment of syntactic generalization in neural language models
J Hu
arXiv preprint arXiv:2005.03692, 2020
2452020
Neural language models as psycholinguistic subjects: Representations of syntactic state
R Futrell
arXiv preprint arXiv:1903.03260, 2019
2302019
On the predictive power of neural language models for human real-time comprehension behavior
EG Wilcox
arXiv preprint arXiv:2006.01912, 2020
1872020
Composition is the core driver of the language-selective network
F Mollica, M Siegelman, E Diachek, ST Piantadosi, Z Mineroff, R Futrell, ...
Neurobiology of Language 1 (1), 104-134, 2020
1022020
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
892020
Structural supervision improves learning of non-local grammatical dependencies
E Wilcox, P Qian, R Futrell, M Ballesteros, R Levy
arXiv preprint arXiv:1903.00943, 2019
722019
Investigating language universal and specific properties in word embeddings
P Qian, X Qiu, XJ Huang
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
642016
Analyzing linguistic knowledge in sequential model of sentence
P Qian, X Qiu, XJ Huang
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
452016
Structural guidance for transformer language models
P Qian, T Naseem, R Levy, RF Astudillo
arXiv preprint arXiv:2108.00104, 2021
392021
What if this modified that? Syntactic interventions with counterfactual embeddings
M Tucker, P Qian, R Levy
Association for Computational Linguistics, 2021
35*2021
Syntactic dependencies correspond to word pairs with high mutual information
R Futrell, P Qian, E Gibson, E Fedorenko, I Blank
Proceedings of the fifth international conference on dependency linguistics …, 2019
312019
Overview of the NLPCC-ICCPOL 2016 shared task: Chinese word segmentation for micro-blog texts
X Qiu, P Qian, Z Shi
Natural Language Understanding and Intelligent Applications: 5th CCF …, 2016
282016
Bridging lstm architecture and the neural dynamics during reading
P Qian, X Qiu, X Huang
arXiv preprint arXiv:1604.06635, 2016
242016
Representation of constituents in neural language models: Coordination phrase as a case study
A An, P Qian, E Wilcox, R Levy
arXiv preprint arXiv:1909.04625, 2019
212019
Overview of the NLPCC 2015 shared task: Chinese word segmentation and POS tagging for micro-blog texts
X Qiu, P Qian, L Yin, S Wu, X Huang
Natural Language Processing and Chinese Computing: 4th CCF Conference, NLPCC …, 2015
192015
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
arXiv preprint arXiv:2010.05725, 2020
172020
A new psychometric-inspired evaluation metric for Chinese word segmentation
P Qian, X Qiu, XJ Huang
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
112016
When does syntax mediate neural language model performance? evidence from dropout probes
M Tucker, T Eisape, P Qian, R Levy, J Shah
arXiv preprint arXiv:2204.09722, 2022
102022
Learning syntactic structures from string input
EG Wilcox, J Gauthier, J Hu, P Qian, R Levy
Algebraic Structures in Natural Language, 113-138, 2022
82022
Flexible generation from fragmentary linguistic input
P Qian, R Levy
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
62022
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