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 iconGenerating Media Background Checks for Automated Source Critical Reasoning
Schlichtkrull M
Findings of the 2024 Conference on Empirical Methods in Natural Language Processing Miami, Florida 12 Nov 2024 - 16 Nov 2024
12-11-2024
Relevant PublicationThe Automated Verification of Textual Claims (AVeriTeC) Shared Task
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
The Seventh Workshop on Fact Extraction and Verification (FEVER)
01-11-2024
Relevant PublicationDocument-level Claim Extraction and Decontextualisation for Fact-Checking
Deng Z, Schlichtkrull M and Vlachos A
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics
11-08-2024
Relevant PublicationAutomated Focused Feedback Generation for Scientific Writing Assistance
Chamoun E, Schlichtkrull M and Vlachos A
Findings of the Association for Computational Linguistics ACL 2024
11-08-2024

2023

Relevant PublicationAVeriTeC: A dataset for real-world claim verification with evidence from the web
Schlichtkrull M, Guo Z and Vlachos A
Advances in Neural Information Processing Systems 36
10-12-2023
Relevant PublicationAre Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics
Cheng X, Schlichtkrull M and Emerson G
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
06-12-2023
Relevant PublicationMultimodal Automated Fact-Checking: A Survey
Akhtar M, Schlichtkrull M, Guo Z, Cocarascu O, Simperl E and Vlachos A
Findings of the Association for Computational Linguistics: EMNLP 2023., 5430-5448.  
01-01-2023
Relevant PublicationThe Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
Schlichtkrull M, Ousidhoum N and Vlachos A
Findings of the Association for Computational Linguistics: EMNLP 2023., 8618-8642.  
01-01-2023

2022

Relevant PublicationA Survey on Automated Fact-Checking
Guo Z, Schlichtkrull M and Vlachos A
Transactions of The Association For Computational Linguistics, Mit Press vol. 10, 178-206.  
09-02-2022

2021

Relevant PublicationThe Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task
Aly R, Guo Z, Schlichtkrull MS, Thorne J, Vlachos A, Christodoulopoulos C, Cocarascu O and Mittal A
Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER)., 1-13.  
01-01-2021
Relevant PublicationJoint Verification and Reranking for Open Fact Checking Over Tables
Schlichtkrull MS, Karpukhin V, Oguz B, Lewis M, Yih W-T and Riedel S
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)., 6787-6799.  
01-01-2021

2020

Relevant PublicationInterpreting graph neural networks for NLP with differentiable edge masking
Schlichtkrull M, De Cao N and Titov I
The Ninth International Conference on Learning Representations
01-10-2020
Relevant PublicationHow do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
De Cao N, Schlichtkrull MS, Aziz W and Titov I
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)., 3243-3255.  
01-01-2020

2018

Relevant PublicationModeling Relational Data with Graph Convolutional Networks
Schlichtkrull M, Kipf TN, Bloem P, van den Berg R, Titov I and Welling M
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 Greg Slabaugh
£1,799,332 EPSRC Engineering and Physical Sciences Research Council
01-05-2024 - 31-03-2028