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Fine-Tuning and Aligning Question Answering Models for Complex Information Extraction Tasks.

, , , , and . KDIR, page 196-205. SCITEPRESS, (2023)

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Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance., , and . ICAART (2), page 1131-1136. SCITEPRESS, (2021)Model-Driven Data Warehousing for Service-Based Business Process Monitoring., , , , and . SRII Global Conference, page 35-38. IEEE Computer Society, (2014)Assessing Software Quality of Agile Student Projects by Data-mining Software Repositories., , , , , and . CSEDU (2), page 244-251. SciTePress, (2019)Leveraging Model-Driven Monitoring for Event-Driven Business Process Control., , and . EMoV+MinoPro@Modellierung, volume 1185 of CEUR Workshop Proceedings, page 21-33. CEUR-WS.org, (2014)Fine-Tuning and Aligning Question Answering Models for Complex Information Extraction Tasks., , , , and . KDIR, page 196-205. SCITEPRESS, (2023)Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance., , and . CoRR, (2020)Goal-based Evaluation of Text Mining Results in an Industrial Use Case., , , and . ICPRAM, page 183-191. SCITEPRESS, (2020)A model-driven methodology for the development of monitoring dashboards.. University of Stuttgart, Germany, (2018)Creating User-specific Business Process Monitoring Dashboards with a Model-driven Approach., , and . MODELSWARD, page 353-361. SciTePress, (2017)Evaluation of Representation Models for Text Classification with AutoML Tools., , , and . CoRR, (2021)