Michael Sejr Schlichtkrull

Orcid: 0000-0002-8666-0856

Affiliations:
  • Queen Mary University of London, UK
  • University of Copenhagen, Denmark (former)


According to our database1, Michael Sejr Schlichtkrull authored at least 31 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
The Automatic Verification of Image-Text Claims (AVerImaTeC) Shared Task.
CoRR, February, 2026

Multimodal Claim Extraction for Fact-Checking.
Proceedings of the Proceedings for the 15th Workshop on Computational Approaches to Subjectivity, 2026

IYKYK: Using language models to decode extremist cryptolects.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web.
CoRR, May, 2025

Attacks by Content: Automated Fact-checking is an AI Security Issue.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

PledgeTracker: A System for Monitoring the Fulfilment of Pledges.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs.
CoRR, 2024

Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking.
CoRR, 2024

The Automated Verification of Textual Claims (AVeriTeC) Shared Task.
CoRR, 2024

Generating Media Background Checks for Automated Source Critical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Document-level Claim Extraction and Decontextualisation for Fact-Checking.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Automated Focused Feedback Generation for Scientific Writing Assistance.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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, 2023

Multimodal Automated Fact-Checking: A Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
A Survey on Automated Fact-Checking.
Trans. Assoc. Comput. Linguistics, 2022

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.
Dataset, May, 2021

FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.
Proceedings of the 9th International Conference on Learning Representations, 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, 2021

2020
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.
CoRR, 2020

Evaluating for Diversity in Question Generation over Text.
CoRR, 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, 2020

2018
Modeling Relational Data with Graph Convolutional Networks.
Proceedings of the Semantic Web - 15th International Conference, 2018

2017
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

2015
Learning affective projections for emoticons on Twitter.
Proceedings of the 6th IEEE International Conference on Cognitive Infocommunications, 2015


  Loading...