A Convolutional Neural Network for Modelling Sentences N Kalchbrenner, E Grefenstette, P Blunsom ACL 2014, 2014 | 4975 | 2014 |
Teaching machines to read and comprehend KM Hermann, T Kocisky, E Grefenstette, L Espeholt, W Kay, M Suleyman, ... NeurIPS 2015, 2015 | 3990 | 2015 |
Hybrid computing using a neural network with dynamic external memory A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ... Nature 538 (7626), 471-476, 2016 | 1896 | 2016 |
Recurrent Continuous Translation Models N Kalchbrenner, P Blunsom EMNLP 2013, 2013 | 1891 | 2013 |
Reasoning about entailment with neural attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016 | 922 | 2016 |
Neural Variational Inference for Text Processing Y Miao, L Yu, P Blunsom ICML 2016, 2016 | 748 | 2016 |
The NarrativeQA Reading Comprehension Challenge T Kočiský, J Schwarz, P Blunsom, C Dyer, KM Hermann, G Melis, ... TACL 2018, 2018 | 681 | 2018 |
On the state of the art of evaluation in neural language models G Melis, C Dyer, P Blunsom ICLR 2018, 2018 | 654 | 2018 |
e-SNLI: natural language inference with natural language explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018 | 569 | 2018 |
Deep learning for answer sentence selection L Yu, KM Hermann, P Blunsom, S Pulman Deep Learning and Representation Learning Workshop: NeurIPS 2014, 2014 | 521 | 2014 |
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems W Ling, D Yogatama, C Dyer, P Blunsom ACL 2017, 2017 | 466 | 2017 |
Latent Predictor Networks for Code Generation W Ling, E Grefenstette, KM Hermann, T Kocisky, A Senior, F Wang, ... ACL 2016, 2016 | 440 | 2016 |
Multilingual Models for Compositional Distributed Semantics KM Hermann, P Blunsom ACL 2014, 2014 | 386 | 2014 |
Discovering Discrete Latent Topics with Neural Variational Inference Y Miao, E Grefenstette, P Blunsom ICML 2017, 2017 | 358 | 2017 |
Learning to transduce with unbounded memory E Grefenstette, KM Hermann, M Suleyman, P Blunsom NeurIPS 2015, 2015 | 344 | 2015 |
Hidden markov models P Blunsom | 340 | 2004 |
Grounded language learning in a simulated 3d world KM Hermann, F Hill, S Green, F Wang, R Faulkner, H Soyer, D Szepesvari, ... arXiv preprint arXiv:1706.06551, 2017 | 338* | 2017 |
cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models C Dyer, J Weese, H Setiawan, A Lopez, F Ture, V Eidelman, ... Proceedings of the ACL 2010 System Demonstrations, 7-12, 2010 | 313 | 2010 |
Compositional Morphology for Word Representations and Language Modelling JA Botha, P Blunsom ICML 2014, 2014 | 295 | 2014 |
Recurrent convolutional neural networks for discourse compositionality N Kalchbrenner, P Blunsom arXiv preprint arXiv:1306.3584, 2013 | 284 | 2013 |