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Michael Sejr Schlichtkrull
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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
58952018
A survey on automated fact-checking
Z Guo, M Schlichtkrull, A Vlachos
Transactions of the Association for Computational Linguistics 10, 178-206, 2022
4732022
Interpreting graph neural networks for NLP with differentiable edge masking
MS Schlichtkrull, N De Cao, I Titov
The Ninth International Conference on Learning Representations, 2020
2632020
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
1602021
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, 2020
1122020
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
872020
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
762021
Neurips 2020 efficientqa competition: Systems, analyses and lessons learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021
742021
AVeriTeC: A dataset for real-world claim verification with evidence from the web
M Schlichtkrull, Z Guo, A Vlachos
Advances in Neural Information Processing Systems 36, 2023
512023
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
352020
Multimodal automated fact-checking: A survey
M Akhtar, M Schlichtkrull, Z Guo, O Cocarascu, E Simperl, A Vlachos
Findings of the Association for Computational Linguistics: EMNLP 2023, 5430–5448, 2023
262023
Joint verification and reranking for open fact checking over tables
M Schlichtkrull, V Karpukhin, B Oğuz, M Lewis, W Yih, S Riedel
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2020
252020
Cross-lingual dependency parsing with late decoding for truly low-resource languages
MS Schlichtkrull, A Søgaard
Proceedings of the 15th Conference of the European Chapter of the …, 2017
202017
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
192016
Learning affective projections for emoticons on Twitter
MS Schlichtkrull
2015 6th IEEE International Conference on Cognitive Infocommunications …, 2015
122015
The intended uses of automated fact-checking artefacts: Why, how and who
M Schlichtkrull, N Ousidhoum, A Vlachos
Findings of the Association for Computational Linguistics: EMNLP 2023, 8618–8642, 2023
102023
Automated Focused Feedback Generation for Scientific Writing Assistance
E Chamoun, M Schlichktrull, A Vlachos
Findings of the Association for Computational Linguistics ACL 2024, 2024
82024
Evaluating for diversity in question generation over text
MS Schlichtkrull, W Cheng
arXiv preprint arXiv:2008.07291, 2020
52020
Incorporating structure into neural models for language processing
MS Schlichtkrull
University of Amsterdam, 2021
32021
The automated verification of textual claims (averitec) shared task
M Schlichtkrull, Y Chen, C Whitehouse, Z Deng, M Akhtar, R Aly, Z Guo, ...
arXiv preprint arXiv:2410.23850, 2024
22024
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