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.
J., Mannhardt, F., de Leoni, M
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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.