Phil Blunsom

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Karl Moritz HermannSaigaVerified email at google.com
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLVerified email at google.com
Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Tomáš KočiskýDeepMindVerified email at kocisky.eu
Yishu MiaoUniversity of OxfordVerified email at cs.ox.ac.uk
Lei YuDeepMindVerified email at google.com
Trevor CohnGoogle DeepMind & University of MelbourneVerified email at unimelb.edu.au
Nal KalchbrennerGoogle DeepMindVerified email at google.com
Dani YogatamaDeepMindVerified email at google.com
Wang LingGoogle DeepmindVerified email at cs.cmu.edu
Tim RocktäschelProfessor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMindVerified email at cs.ucl.ac.uk
Gábor MelisResearch Scientist, Google DeepMindVerified email at google.com
Felix HillResearch Scientist, DeepmindVerified email at google.com
Lasse EspeholtGoogle Brain AmsterdamVerified email at lasse.co
Miles OsborneEdinburghVerified email at inf.ed.ac.uk
Jan A. BothaResearch Scientist, GoogleVerified email at google.com
Stephen PulmanProfessor of Computational Linguistics, Dept. of Computer Science, Oxford UniversityVerified email at cs.ox.ac.uk
Will KayProduct Manager, Isomorphic LabsVerified email at google.com
Adam LopezUniversity of EdinburghVerified email at ed.ac.uk
Jan BuysUniversity of Cape TownVerified email at cs.uct.ac.za

Phil Blunsom

Oxford University & Cohere

Verified email at cs.ox.ac.uk - Homepage

Artificial Intelligence Machine Learning Computational Linguistics Natural Language Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Convolutional Neural Network for Modelling Sentences N Kalchbrenner, E Grefenstette, P Blunsom ACL 2014, 2014	4707	2014
Teaching machines to read and comprehend KM Hermann, T Kocisky, E Grefenstette, L Espeholt, W Kay, M Suleyman, ... NeurIPS 2015, 2015	3562	2015
Recurrent Continuous Translation Models N Kalchbrenner, P Blunsom EMNLP 2013, 2013	1768	2013
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	1738	2016
Reasoning about entailment with neural attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	888	2016
Neural Variational Inference for Text Processing Y Miao, L Yu, P Blunsom ICML 2016, 2016	670	2016
On the state of the art of evaluation in neural language models G Melis, C Dyer, P Blunsom ICLR 2018, 2018	567	2018
The NarrativeQA Reading Comprehension Challenge T Kočiský, J Schwarz, P Blunsom, C Dyer, KM Hermann, G Melis, ... TACL 2018, 2018	514	2018
Deep learning for answer sentence selection L Yu, KM Hermann, P Blunsom, S Pulman Deep Learning and Representation Learning Workshop: NeurIPS 2014, 2014	498	2014
e-SNLI: natural language inference with natural language explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	398	2018
Latent Predictor Networks for Code Generation W Ling, E Grefenstette, KM Hermann, T Kocisky, A Senior, F Wang, ... ACL 2016, 2016	391	2016
Multilingual Models for Compositional Distributed Semantics KM Hermann, P Blunsom ACL 2014, 2014	375	2014
Learning to transduce with unbounded memory E Grefenstette, KM Hermann, M Suleyman, P Blunsom NeurIPS 2015, 2015	319	2015
Hidden markov models P Blunsom	314	2004
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	312	2010
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	308*	2017
Discovering Discrete Latent Topics with Neural Variational Inference Y Miao, E Grefenstette, P Blunsom ICML 2017, 2017	301	2017
Compositional Morphology for Word Representations and Language Modelling JA Botha, P Blunsom ICML 2014, 2014	293	2014
Recurrent convolutional neural networks for discourse compositionality N Kalchbrenner, P Blunsom arXiv preprint arXiv:1306.3584, 2013	270	2013
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems W Ling, D Yogatama, C Dyer, P Blunsom ACL 2017, 2017	258	2017

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