bei Google ScholarTitelangaben
Neuberger, Julian ; Herrmann, Jannic ; Käppel, Martin ; van der Aa, Han ; Jablonski, Stefan:
TeaPie: A Tool for Efficient Annotation of Process Information Extraction Data.
In: Comuzzi, Marco ; Grigori, Daniela ; Sellami, Mohamed ; Zhou, Zhangbing
(Hrsg.):
Cooperative Information Systems. -
Cham
: Springer Nature Switzerland
,
2025
. - S. 405-410
ISBN 978-3-031-81375-7
DOI: https://doi.org/10.1007/978-3-031-81375-7_28
Abstract
Machine-learning based generation of process models from natural language text process descriptions is severely restrained by a lack of datasets. This lack of data can be attributed to, among other things, an absence of proper tool assistance for dataset creation, resulting in high workloads and inferior data quality. We address these shortcomings with a tool for annotating textual process descriptions. Compared to other, existing data annotation tools, ours implements a multi-step workflow specifically designed for extracting process information, including supporting features that have been shown to reduce workloads and improve data quality.
Weitere Angaben
| Publikationsform: | Aufsatz in einem Buch |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | Process information extraction; Text annotation; Business process management |
| Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV > Lehrstuhl Angewandte Informatik IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski |
| Titel an der UBT entstanden: | Ja |
| Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik |
| Eingestellt am: | 15 Mai 2025 05:55 |
| Letzte Änderung: | 15 Mai 2025 05:55 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/93568 |