Leveraging Data Augmentation for Process Information Extraction
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61007-3_6
Reference28 articles.
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2. Ackermann, L., Neuberger, J., Jablonski, S.: Data-driven annotation of textual process descriptions based on formal meaning representations. In: La Rosa, M., Sadiq, S., Teniente, E. (eds.) CAiSE 2021. LNCS, vol. 12751, pp. 75–90. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79382-1_5
3. Akiba, T., Sano, S., Yanase, T., Ohta, T., Koyama, M.: Optuna: a next-generation hyperparameter optimization framework. In: SIGKDD International Conference on Knowledge Discovery & Data Mining (2019)
4. Bellan, P., Dragoni, M., Ghidini, C.: Assisted process knowledge graph building using pre-trained language models. In: Dovier, A., Montanari, A., Orlandini, A. (eds.) AIxIA 2022. LNCS, vol. 13796, pp. 60–74. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-27181-6_5
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