Phil Blunsom - Concepedia

Author

Phil Blunsom

University of Oxford

Also Known As

Blunsom, Phil, Locatelli, Acyr, Phil Blunsom

Publications

3.4K

Citations

H-Index

Concepts

All Affiliations

University of Oxford University of Edinburgh Google DeepMind (United Kingdom)The University of Melbourne University of Vermont

About

Phil Blunsom is an author at University of Oxford specializing in engineering, natural language processing, and linguistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	22	3K
2	Language Studies	15	17	1.2K
3	Cognitive Science	3	3	213
4	Arts	1	1	20
5	Social Sciences	1	1	20

Phil Blunsom

Publications

3.3K

Citations

H-Index

Page 1

	Year	Citations
Hybrid computing using a neural network with dynamic external memory Alex Graves, Greg Wayne, Malcolm Reynolds, Nature Artificial IntelligenceRecurrent Neural NetworkEngineeringNeural NetworkComputer Engineering	2016	1.4K
Deep Learning for Answer Sentence Selection Lei Yu, Karl Moritz Hermann, Phil Blunsom, arXiv (Cornell University) EngineeringMachine LearningText MiningNatural Language ProcessingInformation Retrieval	2014	354
Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength Zhuoling Xiao, Hongkai Wen, Andrew Markham, IEEE Transactions on Wireless Communications EngineeringMachine LearningLocation EstimationSensor ArrayPositioning System	2014	242
Grounded Language Learning in a Simulated 3D World Karl Moritz Hermann, Felix Hill, Simon Green, arXiv (Cornell University) Second Language LearningLanguage GroundingArtificial IntelligenceEngineeringIntelligent Technology	2017	153
A Discriminative Latent Variable Model for Statistical Machine Translation Phil Blunsom, Trevor Cohn, Miles Osborne Edinburgh Research Explorer (University of Edinburgh)	2008	115
A Survey on Contextual Embeddings Qi Liu, Matt J. Kusner, Phil Blunsom arXiv (Cornell University) Natural Language ProcessingEngineeringCross-lingual RepresentationComputational LinguisticsNlp Task	2020	114
Discriminative word alignment with conditional random fields Phil Blunsom, Trevor Cohn Structured PredictionEngineeringMachine LearningConditional Random FieldMultilingual Pretraining	2006	106
A Gibbs sampler for phrasal synchronous grammar induction Phil Blunsom, Trevor Cohn, Chris Dyer,	2009	99
Optimizing Performance of Recurrent Neural Networks on GPUs Jeremy Appleyard, Tomáš Kočiský, Phil Blunsom arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningComputer ArchitectureRecurrent Models	2016	78
Reference-Aware Language Models Zichao Yang, Phil Blunsom, Chris Dyer, EngineeringSemanticsLarge Language ModelText MiningNatural Language Processing	2017	67

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