Tim Rocktäschel - Citazioni di Google Scholar

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Citazioni	2138	2055
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i10-index	31	31

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Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchEmail verificata su cs.ucl.ac.uk
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinEmail verificata su informatik.hu-berlin.de
Matko BošnjakPhD candidate, University College LondonEmail verificata su ucl.ac.uk
Sameer SinghUniversity of California, IrvineEmail verificata su uci.edu
Edward GrefenstetteResearch Scientist, Facebook AI Research; Honorary Associate Professor, UCLEmail verificata su fb.com
Phil BlunsomDeepMind and Oxford UniversityEmail verificata su cs.ox.ac.uk
Shimon WhitesonProfessor of Computer Science, University of OxfordEmail verificata su cs.ox.ac.uk
Pasquale MinerviniUniversity College LondonEmail verificata su cs.ucl.ac.uk
Isabelle AugensteinAssociate Professor, Department of Computer Science, University of CopenhagenEmail verificata su di.ku.dk
Gregory FarquharUniversity of OxfordEmail verificata su cs.ox.ac.uk
Jakob FoersterResearch Scientist, Facebook AI ResearchEmail verificata su fb.com
Thomas DemeesterAssistant professor, Ghent UniversityEmail verificata su ugent.be
Philippe ThomasGerman Research Center for Artificial IntelligenceEmail verificata su dfki.de
Karl Moritz HermannGoogle DeepMindEmail verificata su google.com
Tomáš KočiskýDeepMindEmail verificata su kocisky.eu
Jason NaradowskyResearch Associate, University of CambridgeEmail verificata su cam.ac.uk
Andreas VlachosSenior Lecturer, University of CambridgeEmail verificata su cam.ac.uk
Maruan Al-ShedivatCarnegie Mellon UniversityEmail verificata su cs.cmu.edu
Johannes WelblUniversity College LondonEmail verificata su ucl.ac.uk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldEmail verificata su sheffield.ac.uk

Tim Rocktäschel

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

Email verificata su cs.ucl.ac.uk - Home page

Machine Learning Deep Learning Reinforcement Learning Natural Language Processing


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	56	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	27	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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