Tim Rocktäschel
Tim Rocktäschel
Associate Professor at University College London (UCL), Researcher at Facebook AI Research (FAIR)
Verified email at cs.ucl.ac.uk - Homepage
Cited by
Cited by
Reasoning about Entailment with Neural Attention
T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom
ICLR 2016, 2016
Language Models as Knowledge Bases?
F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel
EMNLP 2019, 2019
ChemSpot: a Hybrid System for Chemical Named Entity Recognition
T Rocktäschel, M Weidlich, U Leser
Bioinformatics, 2012
Stance Detection with Bidirectional Conditional Encoding
I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva
EMNLP 2016, 2016
End-to-End Differentiable Proving
T Rocktäschel, S Riedel
NeurIPS 2017 (Oral), 2017
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
T Rocktäschel, S Singh, S Riedel
NAACL 2015, 2015
emoji2vec: Learning Emoji Representations from their Description
B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel
SocialNLP 2016 (Best Paper Award), 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
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
e−SNLI: Natural Language Inference with Natural Language Explanations
OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom
NeurIPS 2018, 2018
Programming with a Differentiable Forth Interpreter
M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel
ICML 2017, 2017
Lifted Rule Injection for Relation Embeddings
T Demeester, T Rocktäschel, S Riedel
EMNLP 2016, 2016
Frustratingly Short Attention Spans in Neural Language Modeling
M Daniluk, T Rocktäschel, J Welbl, S Riedel
ICLR 2017, 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
G Farquhar, T Rocktäschel, M Igl, S Whiteson
ICLR 2018, 2018
Adversarial Sets for Regularising Neural Link Predictors
P Minervini, T Demeester, T Rocktäschel, S Riedel
UAI 2017, 2017
A Survey of Reinforcement Learning Informed by Natural Language
J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ...
IJCAI 2019, 2019
Interpretation of Natural Language Rules in Conversational Machine Reading
M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ...
EMNLP 2018, 2018
Low-Dimensional Embeddings of Logic
T Rocktäschel, M Bosnjak, S Singh, S Riedel
SP 2014 (Exceptional Submission Award), 2014
Learning to Speak and Act in a Fantasy Text Adventure Game
J Urbanek, A Fan, S Karamcheti, S Jain, S Humeau, E Dinan, ...
EMNLP 2019, 2019
Learning Python Code Suggestion with a Sparse Pointer Network
A Bhoopchand, T Rocktäschel, E Barr, S Riedel
Technical Report arXiv:1611.08307, 2016
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