Adhiguna Kuncoro
Adhiguna Kuncoro
Oxford University and Google DeepMind
Verified email at - Homepage
TitleCited byYear
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint, 2017
Recurrent neural network grammars
C Dyer, A Kuncoro, M Ballesteros, NA Smith
arXiv preprint arXiv:1602.07776, 2016
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
Memory architectures in recurrent neural network language models
D Yogatama, Y Miao, G Melis, W Ling, A Kuncoro, C Dyer, P Blunsom
Unsupervised recurrent neural network grammars
Y Kim, AM Rush, L Yu, A Kuncoro, C Dyer, G Melis
arXiv preprint arXiv:1904.03746, 2019
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
Dependency parsing with lstms: An empirical evaluation
A Kuncoro, Y Sawai, K Duh, Y Matsumoto
arXiv preprint arXiv:1604.06529, 2016
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
Cross-lingual Log Bi-linear Dependency Parsing
A Kuncoro
University of Oxford, 2014
Cross Modal Content Based Objective for Learning Adequate Multimodal Representations
A Kuncoro, CMU EDU, A Bharadwaj, S Moon, V Cirik, LP Morency, ...
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Articles 1–14