Tim Rocktäschel

Cited by

	All	Since 2016
Citations	3437	3226
h-index	27	26
i10-index	40	38

1200

600

300

900

20132014201520162017201820192020202131 43 112 253 408 576 713 1124 139

Co-authors

Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
Edward GrefenstetteResearch Scientist, Facebook AI Research; Honorary Associate Professor, UCLVerified email at fb.com
Matko BošnjakResearch Scientist @ DeepMindVerified email at google.com
Sameer SinghUniversity of California, IrvineVerified email at uci.edu
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
Pasquale MinerviniUniversity College LondonVerified email at cs.ucl.ac.uk
Fabio PetroniFacebook AI ResearchVerified email at fb.com
Phil BlunsomDeepMind and Oxford UniversityVerified email at cs.ox.ac.uk
Alexander Holden MillerResearch Engineer, FacebookVerified email at fb.com
Jakob FoersterResearch Scientist, Facebook AI ResearchVerified email at fb.com
Gregory FarquharDeepMindVerified email at google.com
Isabelle AugensteinAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Thomas DemeesterAssistant professor, Ghent UniversityVerified email at ugent.be
Heinrich KüttlerFacebook AI ResearchVerified email at math.lmu.de
Nantas NardelliPhD Student, University of OxfordVerified email at robots.ox.ac.uk
Philippe ThomasGerman Research Center for Artificial IntelligenceVerified email at dfki.de
Jason NaradowskyResearcher, Preferred NetworksVerified email at preferred.jp
Karl Moritz HermannSaigaVerified email at google.com
Tomáš KočiskýDeepMindVerified email at kocisky.eu

Tim Rocktäschel

Research Scientist at Facebook AI Research, Lecturer at University College London

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

Machine Learning Reinforcement Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	685	2016
Language Models as Knowledge Bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019, 2019	235	2019
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	235	2012
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	202	2016
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	189	2015
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (Oral), 2017	187	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016 (Best Paper Award), 2016	169	2016
The CHEMDNER Corpus of Chemicals and Drugs and its Annotation Principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of Cheminformatics, 2015	148	2015
Programming with a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel ICML 2017, 2017	114*	2017
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	92	2016
Frustratingly Short Attention Spans in Neural Language Modeling M Daniluk, T Rocktäschel, J Welbl, S Riedel ICLR 2017, 2017	83	2017
e−SNLI: Natural Language Inference with Natural Language Explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	81	2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning G Farquhar, T Rocktäschel, M Igl, S Whiteson ICLR 2018, 2018	77	2018
Adversarial Sets for Regularising Neural Link Predictors P Minervini, T Demeester, T Rocktäschel, S Riedel UAI 2017, 2017	63	2017
Low-Dimensional Embeddings of Logic T Rocktäschel, M Bosnjak, S Singh, S Riedel SP 2014 (Exceptional Submission Award), 2014	63	2014
WBI-DDI: Drug-drug Interaction Extraction using Majority Voting P Thomas, M Neves, T Rocktäschel, U Leser SemEval 2013, 2013	62	2013
Interpretation of Natural Language Rules in Conversational Machine Reading M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ... EMNLP 2018, 2018	58	2018
Retrieval-augmented Generation for Knowledge-intensive NLP Tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... NeurIPS 2020, 2020	51	2020
A Survey of Reinforcement Learning Informed by Natural Language J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ... IJCAI 2019, 2019	51	2019
Learning Python Code Suggestion with a Sparse Pointer Network A Bhoopchand, T Rocktäschel, E Barr, S Riedel Technical Report arXiv:1611.08307, 2016	45	2016

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors