Dr Michael Schlichtkrull

Michael Schlichtkrull

Lecturer

School of Electronic Engineering and Computer Science
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

solid heart iconPublications of specific relevance to the Centre for Human-Centred Computing

2024

bullet iconSchlichtkrull 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
Relevant PublicationSchlichtkrull 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
Relevant PublicationDeng 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
Relevant PublicationChamoun 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

Relevant PublicationSchlichtkrull 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
Relevant PublicationCheng 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
Relevant PublicationAkhtar 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
Relevant PublicationSchlichtkrull 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

Relevant PublicationGuo 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

Relevant PublicationAly 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
Relevant PublicationSchlichtkrull 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

Relevant PublicationSchlichtkrull 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
Relevant PublicationDe 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

Relevant PublicationSchlichtkrull 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

solid heart iconGrants of specific relevance to the Centre for Human-Centred Computing
solid heart iconAddressing socio-technical limitations of LLMs for medical and social computing
Maria 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)