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Tim Rocktäschel
Tim Rocktäschel
Sonstige NamenTim Rocktaeschel, Tim Rocktaschel
Professor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMind
Bestätigte E-Mail-Adresse bei cs.ucl.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Language Models as Knowledge Bases?
F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel
EMNLP 2019, 2019
18552019
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
11102020
Reasoning about Entailment with Neural Attention
T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom
ICLR 2016, 2016
9142016
End-to-End Differentiable Proving
T Rocktäschel, S Riedel
NeurIPS 2017 (Oral), 2017
4382017
e−SNLI: Natural Language Inference with Natural Language Explanations
OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom
NeurIPS 2018, 2018
4362018
Stance Detection with Bidirectional Conditional Encoding
I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva
EMNLP 2016, 2016
4122016
emoji2vec: Learning Emoji Representations from their Description
B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel
SocialNLP 2016 (Best Paper Award), 2016
3252016
ChemSpot: a Hybrid System for Chemical Named Entity Recognition
T Rocktäschel, M Weidlich, U Leser
Bioinformatics, 2012
3232012
KILT: a Benchmark for Knowledge Intensive Language Tasks
F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ...
NAACL-HLT 2021, 2021
3112021
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
3052015
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
T Rocktäschel, S Singh, S Riedel
NAACL 2015, 2015
2902015
A Survey of Reinforcement Learning Informed by Natural Language
J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ...
IJCAI 2019, 2019
2562019
A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning
R Kirk, A Zhang, E Grefenstette, T Rocktäschel
JAIR, 2023
206*2023
Lifted Rule Injection for Relation Embeddings
T Demeester, T Rocktäschel, S Riedel
EMNLP 2016, 2016
1672016
Programming with a Differentiable Forth Interpreter
M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel
ICML 2017, 2017
164*2017
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
R Raileanu, T Rocktäschel
ICLR 2020, 2020
1562020
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
1542019
How Context Affects Language Models' Factual Predictions
F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, A H. Miller, S Riedel
AKBC 2020 (Best Paper Award), 2020
1532020
Interpretation of Natural Language Rules in Conversational Machine Reading
M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ...
EMNLP 2018, 2018
1442018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
G Farquhar, T Rocktäschel, M Igl, S Whiteson
ICLR 2018, 2018
1402018
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