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CDLG: Concept Drift Log Generator tool

Supplementary material for a conference submission

Multi-Order Concept Drift Detection in Business Processes

The repository contains the implementation employed in the paper "Natural Language-based Detection of Semantic Execution Anomalies in Event Logs" by Han van der Aa, Adrian Rebmann, and Henrik Leopold, published in Information Systems (2021)

Trained models for extracting semantic process information from event data.

Code for fine-tuning BERT for labeling textual values in events with process-related semantic roles