Michael Sejr Schlichtkrull

47 papers A* 5B 1Journal 26Unranked 15
YearRankTypeTitle / Venue / Authors
2026 — conf
IYKYK: Using language models to decode extremist cryptolects.
EACL (Volume 1: Long Papers)
Christine de Kock, Arij Riabi, Zeerak Talat, Michael Sejr Schlichtkrull, Pranava Madhyastha, Eduard H. Hovy
2026 J jnl
The Automatic Verification of Image-Text Claims (AVerImaTeC) Shared Task.
CoRR
Rui Cao, Zhenyun Deng, Yulong Chen, Michael Sejr Schlichtkrull, Andreas Vlachos
2025 J jnl
AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web.
CoRR
Rui Cao, Zifeng Ding, Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
2025 A* conf
Attacks by Content: Automated Fact-checking is an AI Security Issue.
EMNLP
Michael Sejr Schlichtkrull
2025 J jnl
Attacks by Content: Automated Fact-checking is an AI Security Issue.
CoRR
Michael Sejr Schlichtkrull
2025 J jnl
IYKYK: Using language models to decode extremist cryptolects.
CoRR
Christine de Kock, Arij Riabi, Zeerak Talat, Michael Sejr Schlichtkrull, Pranava Madhyastha, Eduard H. Hovy
2025 — conf
PledgeTracker: A System for Monitoring the Fulfilment of Pledges.
EMNLP (System Demonstrations)
Yulong Chen, Michael Sejr Schlichtkrull, Zhenyun Deng, David P. A. Corney, Nasim Asl, Joshua Salisbury, Andrew Dudfield, Andreas Vlachos
2025 J jnl
PledgeTracker: A System for Monitoring the Fulfilment of Pledges.
CoRR
Yulong Chen, Michael Sejr Schlichtkrull, Zhenyun Deng, David P. A. Corney, Nasim Asl, Joshua Salisbury, Andrew Dudfield, Andreas Vlachos
2025 A* conf
Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts.
EMNLP
Eric Chamoun, Nedjma Ousidhoum, Michael Sejr Schlichtkrull, Andreas Vlachos
2025 J jnl
Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts.
CoRR
Eric Chamoun, Nedjma Ousidhoum, Michael Sejr Schlichtkrull, Andreas Vlachos
2024 — conf
Automated Focused Feedback Generation for Scientific Writing Assistance.
ACL (Findings)
Eric Chamoun, Michael Sejr Schlichtkrull, Andreas Vlachos
2024 J jnl
Automated Focused Feedback Generation for Scientific Writing Assistance.
CoRR
Eric Chamoun, Michael Sejr Schlichtkrull, Andreas Vlachos
2024 J jnl
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs.
CoRR
Rui Cao, Yuming Jiang, Michael Sejr Schlichtkrull, Andreas Vlachos
2024 — conf
Document-level Claim Extraction and Decontextualisation for Fact-Checking.
ACL (1)
Zhenyun Deng, Michael Sejr Schlichtkrull, Andreas Vlachos
2024 J jnl
Document-level Claim Extraction and Decontextualisation for Fact-Checking.
CoRR
Zhenyun Deng, Michael Sejr Schlichtkrull, Andreas Vlachos
2024 J jnl
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking.
CoRR
Mubashara Akhtar, Michael Sejr Schlichtkrull, Andreas Vlachos
2024 — conf
Generating Media Background Checks for Automated Source Critical Reasoning.
EMNLP (Findings)
Michael Sejr Schlichtkrull
2024 J jnl
Generating Media Background Checks for Automated Source Critical Reasoning.
CoRR
Michael Sejr Schlichtkrull
2024 J jnl
The Automated Verification of Textual Claims (AVeriTeC) Shared Task.
CoRR
Michael Sejr Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar, Rami Aly, Zhijiang Guo, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, James Thorne, Andreas Vlachos
2023 A* conf
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.
NeurIPS
Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos
2023 J jnl
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.
CoRR
Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos
2023 A* conf
Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics.
EMNLP
Xuyou Cheng, Michael Sejr Schlichtkrull, Guy Emerson
2023 — conf
Multimodal Automated Fact-Checking: A Survey.
EMNLP (Findings)
Mubashara Akhtar, Michael Sejr Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos
2023 J jnl
Multimodal Automated Fact-Checking: A Survey.
CoRR
Mubashara Akhtar, Michael Sejr Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos
2023 — conf
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who.
EMNLP (Findings)
Michael Sejr Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos
2023 J jnl
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who.
CoRR
Michael Sejr Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos
2022 J jnl
A Survey on Automated Fact-Checking.
Trans. Assoc. Comput. Linguistics
Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
2022 — conf
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.
NAACL-HLT (Findings)
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
2021 J jnl
A Survey on Automated Fact-Checking.
CoRR
Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
2021 — conf
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.
NeurIPS Datasets and Benchmarks
Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal
2021 J jnl
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.
CoRR
Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal
2021 A* conf
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.
ICLR
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
2021 — conf
Joint Verification and Reranking for Open Fact Checking Over Tables.
ACL/IJCNLP (1)
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
2021 J jnl
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.
CoRR
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020 J jnl
Evaluating for Diversity in Question Generation over Text.
CoRR
Michael Sejr Schlichtkrull, Weiwei Cheng
2020 — conf
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking.
EMNLP (1)
Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
2020 J jnl
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking.
CoRR
Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
2020 J jnl
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.
CoRR
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
2020 J jnl
Joint Verification and Reranking for Open Fact Checking Over Tables.
CoRR
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
2020 — conf
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.
NeurIPS (Competition and Demos)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020 J jnl
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.
CoRR
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
2018 B conf
Modeling Relational Data with Graph Convolutional Networks.
ESWC
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
2017 — conf
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages.
EACL (1)
Michael Sejr Schlichtkrull, Anders Søgaard
2017 J jnl
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages.
CoRR
Michael Sejr Schlichtkrull, Anders Søgaard
2017 J jnl
Modeling Relational Data with Graph Convolutional Networks.
CoRR
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
2016 — conf
MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking.
SemEval@NAACL-HLT
Michael Sejr Schlichtkrull, Héctor Martínez Alonso
2015 — conf
Learning affective projections for emoticons on Twitter.
CogInfoCom
Michael Sejr Schlichtkrull