Tim Rocktäschel
Tim Rocktäschel
Research Scientist at Facebook AI Research, Lecturer at University College London
Bestätigte E-Mail-Adresse bei cs.ucl.ac.uk - Startseite
TitelZitiert vonJahr
Reasoning about Entailment with Neural Attention
T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom
ICLR 2016, 2016
5052016
ChemSpot: a Hybrid System for Chemical Named Entity Recognition
T Rocktäschel, M Weidlich, U Leser
Bioinformatics, 2012
1992012
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
T Rocktäschel, S Singh, S Riedel
NAACL 2015, 2015
1362015
Stance Detection with Bidirectional Conditional Encoding
I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva
EMNLP 2016, 2016
1212016
End-to-End Differentiable Proving
T Rocktäschel, S Riedel
NIPS 2017 (Oral), 2017
1022017
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
1012015
emoji2vec: Learning Emoji Representations from their Description
B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel
SocialNLP 2016, 2016
852016
Programming with a Differentiable Forth Interpreter
M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel
ICML 2017, 2017
81*2017
Lifted Rule Injection for Relation Embeddings
T Demeester, T Rocktäschel, S Riedel
EMNLP 2016, 2016
542016
WBI-DDI: Drug-drug Interaction Extraction using Majority Voting
P Thomas, M Neves, T Rocktäschel, U Leser
SemEval 2013, 2013
542013
Frustratingly Short Attention Spans in Neural Language Modeling
M Daniluk, T Rocktäschel, J Welbl, S Riedel
ICLR 2017, 2017
522017
Low-Dimensional Embeddings of Logic
T Rocktäschel, M Bosnjak, S Singh, S Riedel
SP 2014, 2014
472014
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
G Farquhar, T Rocktäschel, M Igl, S Whiteson
ICLR 2018, 2018
37*2018
Adversarial Sets for Regularising Neural Link Predictors
P Minervini, T Demeester, T Rocktäschel, S Riedel
UAI 2017, 2017
372017
SETH Detects and Normalizes Genetic Variants in Text
P Thomas, T Rocktäschel, J Hakenberg, Y Lichtblau, U Leser
Bioinformatics, 2016
32*2016
Learning Knowledge Base Inference with Neural Theorem Provers
T Rocktäschel, S Riedel
AKBC 2016, 2016
322016
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
272013
Learning Python Code Suggestion with a Sparse Pointer Network
A Bhoopchand, T Rocktäschel, E Barr, S Riedel
Technical Report arXiv:1611.08307, 2016
242016
Towards Extracting Faithful and Descriptive Representations of Latent Variable Models
I Sánchez, T Rocktäschel, S Riedel, S Singh
KRR 2015, 2015
232015
Generating Natural Language Inference Chains
V Kolesnyk, T Rocktäschel, S Riedel
Technical Report arXiv:1606.01404, 2016
192016
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