Michael Sejr Schlichtkrull
Michael Sejr Schlichtkrull
Postdoctoral Research Associate, University of Cambridge
Verified email at cst.cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Modeling relational data with graph convolutional networks
MS Schlichtkrull, TN Kipf, P Bloem, R van den Berg, I Titov, M Welling
European Semantic Web Conference, 593-607, 2018
18392018
How do decisions emerge across layers in neural models? interpretation with differentiable masking
N De Cao, M Schlichtkrull, W Aziz, I Titov
arXiv preprint arXiv:2004.14992, 2020
282020
NeurIPS 2020 EfficientQA competition: Systems, analyses and lessons learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
arXiv preprint arXiv:2101.00133, 2021
272021
Interpreting graph neural networks for nlp with differentiable edge masking
MS Schlichtkrull, N De Cao, I Titov
arXiv preprint arXiv:2010.00577, 2020
262020
Berg, R. vd, Titov, I., and Welling, M.(2017). Modeling relational data with graph convolutional networks
M Schlichtkrull, TN Kipf, P Bloem
arXiv preprint arXiv:1703.06103, 0
20
Cross-lingual dependency parsing with late decoding for truly low-resource languages
MS Schlichtkrull, A Søgaard
arXiv preprint arXiv:1701.01623, 2017
192017
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
R Aly, Z Guo, M Schlichtkrull, J Thorne, A Vlachos, C Christodoulopoulos, ...
arXiv preprint arXiv:2106.05707, 2021
162021
Unified open-domain question answering with structured and unstructured knowledge
B Oguz, X Chen, V Karpukhin, S Peshterliev, D Okhonko, M Schlichtkrull, ...
arXiv preprint arXiv:2012.14610, 2020
132020
Learning affective projections for emoticons on Twitter
MS Schlichtkrull
2015 6th IEEE International Conference on Cognitive Infocommunications …, 2015
112015
Msejrku at semeval-2016 task 14: Taxonomy enrichment by evidence ranking
M Schlichtkrull, HM Alonso
Proceedings of the 10th international workshop on semantic evaluation …, 2016
92016
Joint Verification and Reranking for Open Fact Checking Over Tables
M Schlichtkrull, V Karpukhin, B Oğuz, M Lewis, W Yih, S Riedel
arXiv preprint arXiv:2012.15115, 2020
62020
Unik-qa: Unified representations of structured and unstructured knowledge for open-domain question answering
B Oguz, X Chen, V Karpukhin, S Peshterliev, D Okhonko, M Schlichtkrull, ...
arXiv preprint arXiv:2012.14610 54, 57-60, 2021
52021
A survey on automated fact-checking
Z Guo, M Schlichtkrull, A Vlachos
arXiv preprint arXiv:2108.11896, 2021
42021
The fact extraction and verification over unstructured and structured information (feverous) shared task
R Aly, Z Guo, MS Schlichtkrull, J Thorne, A Vlachos, ...
Proceedings of the Fourth Workshop on Fact Extraction and VERification …, 2021
12021
Evaluating for Diversity in Question Generation over Text
MS Schlichtkrull, W Cheng
arXiv preprint arXiv:2008.07291, 2020
12020
Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER)
R Aly, C Christodoulopoulos, O Cocarascu, Z Guo, A Mittal, ...
Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER), 2021
2021
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