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ORCIDMichael Sejr Schlichtkrull
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- affiliation: University of Copenhagen, Denmark
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2020 – today
- 2023
[i12]Michael Sejr Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos
:
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who. CoRR abs/2304.14238 (2023)- [i11]Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos:
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web. CoRR abs/2305.13117 (2023) - 2022
- [j1]Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos:
A Survey on Automated Fact-Checking. Trans. Assoc. Comput. Linguistics 10: 178-206 (2022) - [c10]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: 1535-1546 - 2021
- [c9]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: 6787-6799 - [c8]Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov:
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. ICLR 2021 - [c7]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 - [i10]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 abs/2101.00133 (2021) - [i9]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 abs/2106.05707 (2021) - [i8]Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos:
A Survey on Automated Fact-Checking. CoRR abs/2108.11896 (2021) - 2020
- [c6]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: 3243-3255 - [c5]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: 86-111 - [i7]Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov:
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. CoRR abs/2004.14992 (2020) - [i6]Michael Sejr Schlichtkrull, Weiwei Cheng:
Evaluating for Diversity in Question Generation over Text. CoRR abs/2008.07291 (2020) - [i5]Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov:
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. CoRR abs/2010.00577 (2020) - [i4]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 abs/2012.14610 (2020) - [i3]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 abs/2012.15115 (2020)
2010 – 2019
- 2018
- [c4]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: 593-607 - 2017
- [c3]Michael Sejr Schlichtkrull, Anders Søgaard:
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages. EACL (1) 2017: 220-229 - [i2]Michael Sejr Schlichtkrull, Anders Søgaard:
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages. CoRR abs/1701.01623 (2017) - [i1]Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling:
Modeling Relational Data with Graph Convolutional Networks. CoRR abs/1703.06103 (2017) - 2016
- [c2]Michael Sejr Schlichtkrull, Héctor Martínez Alonso:
MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking. SemEval@NAACL-HLT 2016: 1337-1341 - 2015
- [c1]Michael Sejr Schlichtkrull:
Learning affective projections for emoticons on Twitter. CogInfoCom 2015: 539-543
Coauthor Index
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