Adhiguna Kuncoro
Adhiguna Kuncoro
Oxford University and Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Recurrent neural network grammars
C Dyer, A Kuncoro, M Ballesteros, NA Smith
arXiv preprint arXiv:1602.07776, 2016
4702016
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint, 2017
368*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
1182017
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
1042018
Finding syntax in human encephalography with beam search
J Hale, C Dyer, A Kuncoro, JR Brennan
arXiv preprint arXiv:1806.04127, 2018
802018
Unsupervised recurrent neural network grammars
Y Kim, AM Rush, L Yu, A Kuncoro, C Dyer, G Melis
arXiv preprint arXiv:1904.03746, 2019
712019
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
712016
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
472018
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
332017
Scalable Syntax-Aware Language Models Using Knowledge Distillation
A Kuncoro, C Dyer, L Rimell, S Clark, P Blunsom
arXiv preprint arXiv:1906.06438, 2019
212019
Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, and Phil Blunsom. 2020. Syntactic structure distillation pretraining for bidirectional encoders
A Kuncoro
arXiv preprint arXiv:2005.13482, 0
14
Localizing syntactic predictions using recurrent neural network grammars
JR Brennan, C Dyer, A Kuncoro, JT Hale
Neuropsychologia 146, 107479, 2020
52020
The perils of natural behaviour tests for unnatural models: the case of number agreement
A Kuncoro, C Dyer, J Hale, P Blunsom
Poster presented at Learning Language in Humans and in Machines, Paris, Fr …, 2018
52018
Syntactic structure distillation pretraining for bidirectional encoders
A Kuncoro, L Kong, D Fried, D Yogatama, L Rimell, C Dyer, P Blunsom
Transactions of the Association for Computational Linguistics 8, 776-794, 2020
42020
Pitfalls of Static Language Modelling
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
arXiv preprint arXiv:2102.01951, 2021
32021
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
32019
Dependency parsing with lstms: An empirical evaluation
A Kuncoro, Y Sawai, K Duh, Y Matsumoto
arXiv preprint arXiv:1604.06529, 2016
22016
IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
S Cahyawijaya, GI Winata, B Wilie, K Vincentio, X Li, A Kuncoro, S Ruder, ...
arXiv preprint arXiv:2104.08200, 2021
12021
Icelandic
A Kuncoro
2016
Cross-lingual Log Bi-linear Dependency Parsing
A Kuncoro
University of Oxford, 2014
2014
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Articles 1–20