Adhiguna Kuncoro
Adhiguna Kuncoro
Oxford University and Google DeepMind
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Cited by
Cited by
Recurrent neural network grammars
C Dyer, A Kuncoro, M Ballesteros, NA Smith
arXiv preprint arXiv:1602.07776, 2016
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint, 2017
What do recurrent neural network grammars learn about syntax?
A Kuncoro, M Ballesteros, L Kong, C Dyer, G Neubig, NA Smith
Proceedings of EACL 2017 1, 1249-1258, 2017
LSTMs can learn syntax-sensitive dependencies well, but modeling structure makes them better
A Kuncoro, C Dyer, J Hale, D Yogatama, S Clark, P Blunsom
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Distilling an ensemble of greedy dependency parsers into one MST parser
A Kuncoro, M Ballesteros, L Kong, C Dyer, NA Smith
Proceedings of EMNLP, 1744-1753, 2016
Finding syntax in human encephalography with beam search
J Hale, C Dyer, A Kuncoro, JR Brennan
arXiv preprint arXiv:1806.04127, 2018
Unsupervised recurrent neural network grammars
Y Kim, AM Rush, L Yu, A Kuncoro, C Dyer, G Melis
arXiv preprint arXiv:1904.03746, 2019
Memory architectures in recurrent neural network language models
D Yogatama, Y Miao, G Melis, W Ling, A Kuncoro, C Dyer, P Blunsom
International Conference on Learning Representations, 2018
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
Scalable Syntax-Aware Language Models Using Knowledge Distillation
A Kuncoro, C Dyer, L Rimell, S Clark, P Blunsom
arXiv preprint arXiv:1906.06438, 2019
The perils of natural behaviour tests for unnatural models: the case of number agreement
A Kuncoro, C Dyer, J Hale, P Blunsom
Poster at Learning Language in Humans and Machines (L2HM 2018), 2018
Localizing syntactic predictions using recurrent neural network grammars
JR Brennan, C Dyer, A Kuncoro, JT Hale
Neuropsychologia, 107479, 2020
Text Genre and Training Data Size in Human-like Parsing
J Hale, A Kuncoro, K Hall, C Dyer, J Brennan
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Dependency parsing with lstms: An empirical evaluation
A Kuncoro, Y Sawai, K Duh, Y Matsumoto
arXiv preprint arXiv:1604.06529, 2016
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
A Kuncoro, L Kong, D Fried, D Yogatama, L Rimell, C Dyer, P Blunsom
arXiv preprint arXiv:2005.13482, 2020
Cross-lingual Log Bi-linear Dependency Parsing
A Kuncoro
University of Oxford, 2014
Syntactic Structure Distillation Pretraining for Bidirectional Encoders Download PDF
A Kuncoro
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