Michael Sejr Schlichtkrull

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 22

Top Topics

Dependency Parsing

Question Answering

Unstructured Information

Top Venues

NAACL-HLT (Findings)

Publications

Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos
AVeriTeC: A dataset for real-world claim verification with evidence from the web. CoRR (2023)
Michael Sejr Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who. CoRR (2023)
Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
A Survey on Automated Fact-Checking. Trans. Assoc. Comput. Linguistics 10 (2022)
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. NAACL-HLT (Findings) (2022)
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. ICLR (2021)
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
Joint Verification and Reranking for Open Fact Checking Over Tables. ACL/IJCNLP (1) (2021)
Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
A Survey on Automated Fact-Checking. CoRR (2021)
Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. NeurIPS Datasets and Benchmarks (2021)
Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. CoRR (2021)
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 S. H. 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
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Michael Sejr Schlichtkrull, Weiwei Cheng
Evaluating for Diversity in Question Generation over Text. CoRR (2020)
Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. CoRR (2020)
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. CoRR (2020)
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. CoRR (2020)
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 S. H. 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
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. EMNLP (1) (2020)
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
Joint Verification and Reranking for Open Fact Checking Over Tables. CoRR (2020)
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
Modeling Relational Data with Graph Convolutional Networks. ESWC (2018)
Michael Sejr Schlichtkrull, Anders Søgaard
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages. CoRR (2017)
Michael Sejr Schlichtkrull, Anders Søgaard
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages. EACL (1) (2017)
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
Modeling Relational Data with Graph Convolutional Networks. CoRR (2017)
Michael Sejr Schlichtkrull, Héctor Martínez Alonso
MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking. SemEval@NAACL-HLT (2016)
Michael Sejr Schlichtkrull
Learning affective projections for emoticons on Twitter. CogInfoCom (2015)