Tim Rocktäschel - Google Scholar Citations

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	All	Since 2015
Citations	2140	2057
h-index	21	20
i10-index	31	31

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Co-authors

Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Matko BošnjakPhD candidate, University College LondonVerified email at ucl.ac.uk
Sameer SinghUniversity of California, IrvineVerified email at uci.edu
Edward GrefenstetteResearch Scientist, Facebook AI Research; Honorary Associate Professor, UCLVerified email at fb.com
Phil BlunsomDeepMind and Oxford UniversityVerified email at cs.ox.ac.uk
Shimon WhitesonProfessor of Computer Science, University of OxfordVerified email at cs.ox.ac.uk
Pasquale MinerviniUniversity College LondonVerified email at cs.ucl.ac.uk
Isabelle AugensteinAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Gregory FarquharUniversity of OxfordVerified email at cs.ox.ac.uk
Jakob FoersterResearch Scientist, Facebook AI ResearchVerified email at fb.com
Thomas DemeesterAssistant professor, Ghent UniversityVerified email at ugent.be
Philippe ThomasGerman Research Center for Artificial IntelligenceVerified email at dfki.de
Karl Moritz HermannGoogle DeepMindVerified email at google.com
Tomáš KočiskýDeepMindVerified email at kocisky.eu
Jason NaradowskyResearch Associate, University of CambridgeVerified email at cam.ac.uk
Andreas VlachosSenior Lecturer, University of CambridgeVerified email at cam.ac.uk
Maruan Al-ShedivatCarnegie Mellon UniversityVerified email at cs.cmu.edu
Johannes WelblUniversity College LondonVerified email at ucl.ac.uk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldVerified email at sheffield.ac.uk

Tim Rocktäschel

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

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

Machine Learning Deep Learning Reinforcement Learning Natural Language Processing


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Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	530	2016
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	205	2012
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	144	2015
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	133	2016
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (Oral), 2017	124	2017
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	106	2015
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016, 2016	103	2016
Programming with a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel ICML 2017, 2017	88*	2017
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	62	2016
Frustratingly Short Attention Spans in Neural Language Modeling M Daniluk, T Rocktäschel, J Welbl, S Riedel ICLR 2017, 2017	59	2017
WBI-DDI: Drug-drug Interaction Extraction using Majority Voting P Thomas, M Neves, T Rocktäschel, U Leser SemEval 2013, 2013	57	2013
Low-Dimensional Embeddings of Logic T Rocktäschel, M Bosnjak, S Singh, S Riedel SP 2014, 2014	50	2014
Adversarial Sets for Regularising Neural Link Predictors P Minervini, T Demeester, T Rocktäschel, S Riedel UAI 2017, 2017	44	2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning G Farquhar, T Rocktäschel, M Igl, S Whiteson ICLR 2018, 2018	40	2018
Learning Knowledge Base Inference with Neural Theorem Provers T Rocktäschel, S Riedel AKBC 2016, 2016	39	2016
SETH Detects and Normalizes Genetic Variants in Text P Thomas, T Rocktäschel, J Hakenberg, Y Lichtblau, U Leser Bioinformatics, 2016	33*	2016
Learning Python Code Suggestion with a Sparse Pointer Network A Bhoopchand, T Rocktäschel, E Barr, S Riedel Technical Report arXiv:1611.08307, 2016	28	2016
WBI-NER: The Impact of Domain-specific Features on the Performance of Identifying and Classifying Mentions of Drugs T Rocktäschel, T Huber, M Weidlich, U Leser SemEval 2013, 2013	27	2013
Towards Extracting Faithful and Descriptive Representations of Latent Variable Models I Sánchez, T Rocktäschel, S Riedel, S Singh KRR 2015, 2015	25	2015
Interpretation of Natural Language Rules in Conversational Machine Reading M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ... EMNLP 2018, 2018	21	2018

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