Michael Sejr Schlichtkrull

Postdoctoral Research Associate, University of Cambridge

Hi there! I'm Michael, a postdoctoral research associate working with Andreas Vlachos on automated fact verification at the Department of Computer Science and Technology at the University of Cambridge. I recently graduated with my PhD thesis from the University of Amsterdam, where I worked with Ivan Titov on building NLP models that incorporate structured data. During my PhD I have also interned with Amazon Berlin, as well as with FAIR London.

My research is focused on modelling structured data sources - such as knowledge graphs, tables, or parse trees - for NLP. I am very interested in developing techniques that improve the way we interact with information, whether that is through question answering systems that allow us to interrogate data or fact-checking systems that help us reason about the veracity of data.

I have a background in computer science, software engineering, with a sprinkle of cognitive science thrown in for good measure. I have an M.Sc. degree in It & Cognition from the University of Copenhagen and a B.Sc. degree in Software Engineering from the Technical University of Denmark.

  • A Survey on Automated Fact-Checking

    Zhijiang Guo, Michael Sejr Schlichtkrull, and Andreas Vlachos
    ArXiv, 2021
    link PDF bibtex

  • FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information

    Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, and Arpit Mittal
    ArXiv, 2021
    link PDF bibtex

  • Joint Verification and Reranking for Open Fact Checking Over Tables

    Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oğuz, Mike Lewis, Wen-tau Yih, and Sebastian Riedel
    ACL, 2021
    link PDF bibtex

  • Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

    Michael Sejr Schlichtkrull, Nicola De Cao, and Ivan Titov
    ICLR, 2021
    link PDF poster bibtex code

  • NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

    Sewon Min, Jordan 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 Oğuz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, and Wen-tau Yih
    ArXiv, 2021
    link PDF bibtex

  • Unified Open-Domain Question Answering with Structured and Unstructured Knowledge

    Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, and Scott Yih
    ArXiv, 2020
    link PDF bibtex

  • How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking

    Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, and Ivan Titov
    EMNLP, 2020
    link PDF bibtex code

  • Evaluating for Diversity in Question Generation over Text

    Michael Sejr Schlichtkrull and Weiwei Cheng
    ArXiv, 2020
    link PDF bibtex

  • Modeling Relational Data with Graph Convolutional Networks

    Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling
    ESWC, 2018, Best student research paper
    link PDF bibtex code

  • Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages

    Michael Sejr Schlichtkrull and Anders Søgaard
    EACL, 2017
    link PDF bibtex code

  • MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking

    Michael Sejr Schlichtkrull and Héctor Martínez Alonso
    SemEval, 2016
    link PDF bibtex

  • Learning Affective Projections for Emoticons on Twitter

    Michael Sejr Schlichtkrull
    CogInfoCom, 2015, Best paper
    link PDF bibtex

Want to get in touch?

michael (dot) schlichtkrull (at) cst (dot) cam (dot) ac (dot) uk

Cambridge University
Office address coming soon