| 2026 | EACL | IYKYK: Using language models to decode extremist cryptolects. | Christine de Kock, Arij Riabi, Zeerak Talat, Michael Sejr Schlichtkrull, Pranava Madhyastha, Eduard H. Hovy |
| 2025 | EMNLP | PledgeTracker: A System for Monitoring the Fulfilment of Pledges. | Yulong Chen, Michael Sejr Schlichtkrull, Zhenyun Deng, David P. A. Corney, Nasim Asl, Joshua Salisbury, Andrew Dudfield, Andreas Vlachos |
| 2025 | EMNLP | Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts. | Eric Chamoun, Nedjma Ousidhoum, Michael Sejr Schlichtkrull, Andreas Vlachos |
| 2025 | EMNLP | Attacks by Content: Automated Fact-checking is an AI Security Issue. | Michael Sejr Schlichtkrull |
| 2024 | ACL | Automated Focused Feedback Generation for Scientific Writing Assistance. | Eric Chamoun, Michael Sejr Schlichtkrull, Andreas Vlachos |
| 2024 | ACL | Document-level Claim Extraction and Decontextualisation for Fact-Checking. | Zhenyun Deng, Michael Sejr Schlichtkrull, Andreas Vlachos |
| 2024 | EMNLP | Generating Media Background Checks for Automated Source Critical Reasoning. | Michael Sejr Schlichtkrull |
| 2023 | EMNLP | Multimodal Automated Fact-Checking: A Survey. | Mubashara Akhtar, Michael Sejr Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos |
| 2023 | EMNLP | Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics. | Xuyou Cheng, Michael Sejr Schlichtkrull, Guy Emerson |
| 2023 | EMNLP | The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who. | Michael Sejr Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos |
| 2022 | NAACL | UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. | Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih |
| 2021 | ACL | Joint Verification and Reranking for Open Fact Checking Over Tables. | Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel |
| 2021 | ICLR | Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. | Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov |
| 2020 | EMNLP | How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. | Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov |
| 2017 | EACL | Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages. | Michael Sejr Schlichtkrull, Anders Sgaard |