Edward Grefenstette
Edward Grefenstette
Research Scientist, Facebook AI Research; Honorary Associate Professor, UCL
Verified email at fb.com - Homepage
TitleCited byYear
A convolutional neural network for modelling sentences
N Kalchbrenner, E Grefenstette, P Blunsom
arXiv preprint arXiv:1404.2188, 2014
21072014
Teaching machines to read and comprehend
KM Hermann, T Kocisky, E Grefenstette, L Espeholt, W Kay, M Suleyman, ...
Advances in neural information processing systems, 1693-1701, 2015
11522015
Hybrid computing using a neural network with dynamic external memory
A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ...
Nature 538 (7626), 471, 2016
7012016
Reasoning about entailment with neural attention
T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom
arXiv preprint arXiv:1509.06664, 2015
4762015
Experimental support for a categorical compositional distributional model of meaning
E Grefenstette, M Sadrzadeh
Proceedings of the Conference on Empirical Methods in Natural Language …, 2011
2522011
Learning to transduce with unbounded memory
E Grefenstette, KM Hermann, M Suleyman, P Blunsom
Advances in neural information processing systems, 1828-1836, 2015
1882015
Latent predictor networks for code generation
W Ling, E Grefenstette, KM Hermann, T Kočiský, A Senior, F Wang, ...
arXiv preprint arXiv:1603.06744, 2016
1302016
Multi-step regression learning for compositional distributional semantics
E Grefenstette, G Dinu, YZ Zhang, M Sadrzadeh, M Baroni
arXiv preprint arXiv:1301.6939, 2013
1232013
Learning explanatory rules from noisy data
R Evans, E Grefenstette
Journal of Artificial Intelligence Research 61, 1-64, 2018
852018
Concrete sentence spaces for compositional distributional models of meaning
E Grefenstette, M Sadrzadeh, S Clark, B Coecke, S Pulman
Proceedings of the 9th International Conference on Computational Semantics …, 2011
802011
The narrativeqa reading comprehension challenge
T Kočiský, J Schwarz, P Blunsom, C Dyer, KM Hermann, G Melis, ...
Transactions of the Association for Computational Linguistics 6, 317-328, 2018
762018
Towards a formal distributional semantics: Simulating logical calculi with tensors
E Grefenstette
arXiv preprint arXiv:1304.5823, 2013
732013
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
702016
Lambek vs. Lambek: Functorial vector space semantics and string diagrams for Lambek calculus
B Coecke, E Grefenstette, M Sadrzadeh
Annals of pure and applied logic 164 (11), 1079-1100, 2013
642013
Experimenting with transitive verbs in a discocat
E Grefenstette, M Sadrzadeh
Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural …, 2011
472011
Discovering discrete latent topics with neural variational inference
Y Miao, E Grefenstette, P Blunsom
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
462017
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
412016
A deep architecture for semantic parsing
E Grefenstette, P Blunsom, N de Freitas, KM Hermann
arXiv preprint arXiv:1404.7296, 2014
39*2014
Can Neural Networks Understand Logical Entailment?
R Evans, D Saxton, D Amos, P Kohli, E Grefenstette
arXiv preprint arXiv:1802.08535, 2018
372018
“Not not bad” is not “bad”: A distributional account of negation
KM Hermann, E Grefenstette, P Blunsom
312013
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