Wang Ling
Wang Ling
Google Deepmind
Verified email at - Homepage
Cited by
Cited by
Transition-based dependency parsing with stack long short-term memory
C Dyer, M Ballesteros, W Ling, A Matthews, NA Smith
arXiv preprint arXiv:1505.08075, 2015
Finding function in form: Compositional character models for open vocabulary word representation
W Ling, T Luís, L Marujo, RF Astudillo, S Amir, C Dyer, AW Black, ...
arXiv preprint arXiv:1508.02096, 2015
Two/too simple adaptations of word2vec for syntax problems
W Ling, C Dyer, AW Black, I Trancoso
Proceedings of the 2015 conference of the North American chapter of the …, 2015
Program induction by rationale generation: Learning to solve and explain algebraic word problems
W Ling, D Yogatama, C Dyer, P Blunsom
arXiv preprint arXiv:1705.04146, 2017
Latent predictor networks for code generation
W Ling, E Grefenstette, KM Hermann, T Kočiský, A Senior, F Wang, ...
arXiv preprint arXiv:1603.06744, 2016
Character-based neural machine translation
W Ling, I Trancoso, C Dyer, AW Black
arXiv preprint arXiv:1511.04586, 2015
Generative and discriminative text classification with recurrent neural networks
D Yogatama, C Dyer, W Ling, P Blunsom
arXiv preprint arXiv:1703.01898, 2017
Learning to compose words into sentences with reinforcement learning
D Yogatama, P Blunsom, C Dyer, E Grefenstette, W Ling
arXiv preprint arXiv:1611.09100, 2016
Evaluation of word vector representations by subspace alignment
Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
Not all contexts are created equal: Better word representations with variable attention
W Ling, Y Tsvetkov, S Amir, R Fermandez, C Dyer, AW Black, I Trancoso, ...
Proceedings of the 2015 conference on empirical methods in natural language …, 2015
Neural network-based abstract generation for opinions and arguments
L Wang, W Ling
arXiv preprint arXiv:1606.02785, 2016
Reference-aware language models
Z Yang, P Blunsom, C Dyer, W Ling
arXiv preprint arXiv:1611.01628, 2016
Learning the curriculum with bayesian optimization for task-specific word representation learning
Y Tsvetkov, M Faruqui, W Ling, B MacWhinney, C Dyer
arXiv preprint arXiv:1605.03852, 2016
Semantic parsing with semi-supervised sequential autoencoders
T Kočiský, G Melis, E Grefenstette, C Dyer, W Ling, P Blunsom, ...
arXiv preprint arXiv:1609.09315, 2016
Microblogs as Parallel Corpora
W Ling, G Xiang, C Dyer, A Black, I Trancoso
Association for Computational Linguistics, 2013
A linguistically motivated taxonomy for Machine Translation error analysis
 Costa, W Ling, T Luís, R Correia, L Coheur
Machine Translation 29, 127-161, 2015
Automatic keyword extraction on twitter
L Marujo, W Ling, I Trancoso, C Dyer, AW Black, A Gershman, ...
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Learning and evaluating general linguistic intelligence
D Yogatama, CM d'Autume, J Connor, T Kocisky, M Chrzanowski, L Kong, ...
arXiv preprint arXiv:1901.11373, 2019
A mutual information maximization perspective of language representation learning
L Kong, CM d'Autume, W Ling, L Yu, Z Dai, D Yogatama
arXiv preprint arXiv:1910.08350, 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
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