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Tim Rocktäschel
Tim Rocktäschel
Sonstige NamenTim Rocktaeschel, Tim Rocktaschel
Director and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLIS
Bestätigte E-Mail-Adresse bei cs.ucl.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
48112020
Language Models as Knowledge Bases?
F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel
EMNLP 2019, 2019
28492019
Reasoning about Entailment with Neural Attention
T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom
ICLR 2016, 2016
9572016
e−SNLI: Natural Language Inference with Natural Language Explanations
OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom
NeurIPS 2018, 2018
6382018
Stance Detection with Bidirectional Conditional Encoding
I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva
EMNLP 2016, 2016
5052016
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
5002021
End-to-End Differentiable Proving
T Rocktäschel, S Riedel
NeurIPS 2017 (𝗢𝗿𝗮𝗹), 2017
4912017
emoji2vec: Learning Emoji Representations from their Description
B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel
SocialNLP 2016 (𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱), 2016
3922016
A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning
R Kirk, A Zhang, E Grefenstette, T Rocktäschel
JAIR, 2023
3862023
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
3772015
ChemSpot: a Hybrid System for Chemical Named Entity Recognition
T Rocktäschel, M Weidlich, U Leser
Bioinformatics, 2012
3492012
A Survey of Reinforcement Learning Informed by Natural Language
J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ...
IJCAI 2019, 2019
3192019
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
T Rocktäschel, S Singh, S Riedel
NAACL 2015, 2015
3112015
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
2402020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
R Raileanu, T Rocktäschel
ICLR 2020, 2020
2142020
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
2142019
The NetHack Learning Environment
H Küttler, N Nardelli, A Miller, R Raileanu, M Selvatici, E Grefenstette, ...
NeurIPS 2020, 2020
1872020
Lifted Rule Injection for Relation Embeddings
T Demeester, T Rocktäschel, S Riedel
EMNLP 2016, 2016
1832016
Interpretation of Natural Language Rules in Conversational Machine Reading
M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ...
EMNLP 2018, 2018
1792018
Programming with a Differentiable Forth Interpreter
M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel
ICML 2017, 2017
177*2017
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