Dr Michael Schlichtkrull
Lecturer
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
Natural language processing, fact verification, question answering, graph neural networks
Interests
Michael works on automated reasoning over retrieved evidence, focusing especially on automated fact-checking where he has published both models and datasets. He is also interested in interpretability for NLP, as well as techniques for modelling and incorporating structured data such as tables or knowledge bases into NLP applications.Publications
Publications of specific relevance to the Centre for Human-Centred Computing2024
Schlichtkrull M (2024). Generating Media Background Checks for Automated Source Critical Reasoning. Findings of the 2024 Conference on Empirical Methods in Natural Language Processing Miami, Florida 12 Nov 2024 - 16 Nov 2024. 12-11-2024
Schlichtkrull M, Chen Y, Whitehouse C, Deng Z, Akhtar M, Aly R, Guo Z, Christodoulopoulos C, Cocarascu O, Mittal A, Thorne J and Vlachos A (2024). The Automated Verification of Textual Claims (AVeriTeC) Shared Task. The Seventh Workshop on Fact Extraction and Verification (FEVER). 01-11-2024
Deng Z, Schlichtkrull M and Vlachos A (2024). Document-level Claim Extraction and Decontextualisation for Fact-Checking. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics. 11-08-2024
Chamoun E, Schlichtkrull M and Vlachos A (2024). Automated Focused Feedback Generation for Scientific Writing Assistance. Findings of the Association for Computational Linguistics ACL 2024. 11-08-2024
2023
Schlichtkrull M, Guo Z and Vlachos A (2023). AVeriTeC: A dataset for real-world claim verification with evidence from the web. Advances in Neural Information Processing Systems 36. 10-12-2023
Cheng X, Schlichtkrull M and Emerson G (2023). Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 06-12-2023
Akhtar M, Schlichtkrull M, Guo Z, Cocarascu O, Simperl E and Vlachos A (2023). Multimodal Automated Fact-Checking: A Survey. Findings of the Association for Computational Linguistics: EMNLP 2023. 01-01-2023
Schlichtkrull M, Ousidhoum N and Vlachos A (2023). The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who. Findings of the Association for Computational Linguistics: EMNLP 2023. 01-01-2023
2022
Guo Z, Schlichtkrull M and Vlachos A (2022). A Survey on Automated Fact-Checking. Transactions of the Association for Computational Linguistics, MIT Press vol. 10, 178-206. 09-02-2022
2021
Aly R, Guo Z, Schlichtkrull MS, Thorne J, Vlachos A, Christodoulopoulos C, Cocarascu O and Mittal A (2021). The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task. Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER). 01-01-2021
Schlichtkrull MS, Karpukhin V, Oguz B, Lewis M, Yih W-T and Riedel S (2021). Joint Verification and Reranking for Open Fact Checking Over Tables. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 01-01-2021
2020
Schlichtkrull M, De Cao N and Titov I (2020). Interpreting graph neural networks for NLP with differentiable edge masking. The Ninth International Conference on Learning Representations. 01-10-2020
De Cao N, Schlichtkrull MS, Aziz W and Titov I (2020). How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 01-01-2020
2018
Schlichtkrull M, Kipf TN, Bloem P, van den Berg R, Titov I and Welling M (2018). Modeling Relational Data with Graph Convolutional Networks. European Semantic Web Conference 2018. 03-06-2018
Grants
Grants of specific relevance to the Centre for Human-Centred ComputingAddressing socio-technical limitations of LLMs for medical and social computingMaria Liakata, Julia Ive, Matthew Purver, Michael Schlichtkrull, Claude Chelala and Gregory Slabaugh
£1,799,332 EPSRC Engineering and Physical Sciences Research Council (01-05-2024 - 31-03-2028)