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Leveraging Data Augmentation for Process Information Extraction

Leveraging Data Augmentation for Process Information Extraction

11 April 2024
Julian Neuberger
Leonie Doll
Benedict Engelmann
Lars Ackermann
Stefan Jablonski
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Papers citing "Leveraging Data Augmentation for Process Information Extraction"

3 / 3 papers shown
Title
FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring
FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring
Mostafa Abbasi
Maziyar Khadivi
Maryam Ahang
Patricia Lasserre
Yves Lucet
Homayoun Najjaran
OffRL
43
1
0
17 Jan 2025
NLP4PBM: A Systematic Review on Process Extraction using Natural
  Language Processing with Rule-based, Machine and Deep Learning Methods
NLP4PBM: A Systematic Review on Process Extraction using Natural Language Processing with Rule-based, Machine and Deep Learning Methods
William Van Woensel
Soroor Motie
26
0
0
10 Sep 2024
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
174
86
0
06 Dec 2021
1