Event Causality
Event Causality is a theoretical construct in message ordering that identifies and formalizes the causal relationships between discrete events in distributed systems, distinguishing itself by specifying the conditions under which one event is guaranteed to precede another based on message transmission and reception dependencies.
99
Publications
3.4K
Citations
260
Authors
135
Institutions
Publications per year
2017–2026
30
Parents
99
Learning causality for news events prediction
Kira Radinsky, Sagie Davidovich, Shaul Markovitch · 2012 · 254 citations
F--a model of events based on the foundational ontology dolce+DnS ultralight
Ansgar Scherp, Thomas R. Franz, Carsten Saathoff et al. · 2009 · 194 citations
Imaging the impossible: An fMRI study of impossible causal relationships in magic tricks
Benjamin A. Parris, Gustav Kuhn, Guy A. Mizon et al. · NeuroImage · 2009 · 97 citations · Full text
Medicine, Neurobiology, Neuroscience +13
Event causality extraction based on connectives analysis
Sendong Zhao, Ting Liu, Sicheng Zhao et al. · Neurocomputing · 2015 · 90 citations
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135
University of Chinese Academy of Sciences
Beijing, China
5 h-index
22 publications
1.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
9 publications
863 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
16 publications
1.1K citations

Rissho University
Tokyo, Japan
3 h-index
3 publications
53 citations
Laboratoire de l'Informatique du Parallélisme
Lyon, France
3 h-index
6 publications
102 citations
Mitre (United States)
Bedford, United States
3 h-index
3 publications
56 citations
Technion – Israel Institute of Technology
Haifa, Israel
3 h-index
9 publications
942 citations
Hosei University
Tokyo, Japan
3 h-index
8 publications
147 citations
1–8 of 135
4 publications · 120 citations
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Conference · 2 publications · 108 citations
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2 publications · 25 citations
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2 publications · 78 citations
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2 publications · 32 citations
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