Titlebook: Enterprise, Business-Process and Information Systems Modeling; 25th International C Han van der Aa,Dominik Bork,Arnon Sturm Conference proc

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978-3-031-61006-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Enterprise, Business-Process and Information Systems Modeling978-3-031-61007-3Series ISSN 1865-1348 Series E-ISSN 1865-1356

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Enterprise, Business-Process and Information Systems Modeling25th International C

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Leveraging Data Augmentation for Process Information Extractionthe task of business process information extraction, improving the accuracy of extraction. Our study shows, that data augmentation is an important component in enabling machine learning methods for the task of business process model generation from natural language text, where currently mostly rule-

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