A neuro-symbolic approach trains a sequence tagger on limited examples to propose event interpretations and refines them via an Abstract Argumentation Framework to handle uncertain mappings in process streams.
d.et al.Neural-symbolic learning and reasoning: A survey and interpreta- tion.Neuro-Symbolic Artificial Intelligence: The State of the Art342, 1 (2022)
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Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams
A neuro-symbolic approach trains a sequence tagger on limited examples to propose event interpretations and refines them via an Abstract Argumentation Framework to handle uncertain mappings in process streams.