Sebastian Riedel
Sebastian Riedel
Professor @ University College London, Researcher @ Facebook AI Research
Verified email at - Homepage
Cited by
Cited by
Complex embeddings for simple link prediction
T Trouillon, J Welbl, S Riedel, É Gaussier, G Bouchard
International conference on machine learning, 2071-2080, 2016
Modeling relations and their mentions without labeled text
S Riedel, L Yao, A McCallum
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
Convolutional 2d knowledge graph embeddings
T Dettmers, P Minervini, P Stenetorp, S Riedel
Thirty-second AAAI conference on artificial intelligence, 2018
The CoNLL 2007 shared task on dependency parsing
J Nivre, J Hall, S Kübler, R McDonald, J Nilsson, S Riedel, D Yuret
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007
Relation extraction with matrix factorization and universal schemas
S Riedel, L Yao, A McCallum, BM Marlin
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
Language models as knowledge bases?
F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel
arXiv preprint arXiv:1909.01066, 2019
Constructing datasets for multi-hop reading comprehension across documents
J Welbl, P Stenetorp, S Riedel
Transactions of the Association for Computational Linguistics 6, 287-302, 2018
Fact checking: Task definition and dataset construction
A Vlachos, S Riedel
Proceedings of the ACL 2014 workshop on language technologies and …, 2014
End-to-end differentiable proving
T Rocktäschel, S Riedel
arXiv preprint arXiv:1705.11040, 2017
Improving the accuracy and efficiency of map inference for markov logic
S Riedel
Proceedings of the 24th Annual Conference on Uncertainty in AI (UAI '08) 2008, 2008
Semeval 2017 task 10: Scienceie-extracting keyphrases and relations from scientific publications
I Augenstein, M Das, S Riedel, L Vikraman, A McCallum
arXiv preprint arXiv:1704.02853, 2017
Injecting logical background knowledge into embeddings for relation extraction
T Rocktäschel, S Singh, S Riedel
Proceedings of the 2015 conference of the north American Chapter of the …, 2015
emoji2vec: Learning emoji representations from their description
B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel
arXiv preprint arXiv:1609.08359, 2016
Retrieval-augmented generation for knowledge-intensive nlp tasks
P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ...
arXiv preprint arXiv:2005.11401, 2020
Structured Relation Discovery using Generative Models
L Yao, A Haghighi, S Riedel, A McCallum
Conference on Empirical methods in natural language processing (EMNLP '11), 2011
Marker-less tracking for AR: A learning-based approach
Y Genc, S Riedel, F Souvannavong, C Akinlar, N Navab
Proceedings. International Symposium on Mixed and Augmented Reality, 295-304, 2002
Knowledge graph completion via complex tensor factorization
T Trouillon, CR Dance, J Welbl, S Riedel, É Gaussier, G Bouchard
arXiv preprint arXiv:1702.06879, 2017
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
B Riedel, I Augenstein, GP Spithourakis, S Riedel
arXiv preprint arXiv:1707.03264, 2017
Jointly identifying temporal relations with markov logic
K Yoshikawa, S Riedel, M Asahara, Y Matsumoto
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
Collective cross-document relation extraction without labelled data
L Yao, S Riedel, A McCallum
Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010
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