Dr. Don Tuggener

Work at ZHAW

Position

Research Associate in Natural Language Processing, Computational Linguistics, and Machine Learning

Professional development teaching

• CAS Machine Intelligence
• CAS KI verstehen und anwenden: No-Code Lösungen für die betriebliche Praxis

Network

ORCID digital identifier

ORCID ID: 0009-0005-5850-9154

Projects

• Multikom XR – Exploratory study on AI-supported analysis of professional communication in XR / Deputy project leader / ongoing
• A novel procedure to support meaning-making at work: combining work and life design research with AI-enhanced narrative methods / Deputy project leader / ongoing
• Platform Meaning@Work / Project leader / ongoing
• Technology-supported stress management training for professionals in the nursing profession / Team member / ongoing
• Jill & Jules: Engaging young voters / Project leader / completed
• AutoNews: AI based automatic processing of content for a news portal / Deputy project leader / completed
• PRISM: Predicting Radicalization Events in Social Media User Timelines / Deputy project leader / completed
• DOSSMA – Detection of Suspicious Social Media Activities / Deputy project leader / completed
• Interscriber: Turning Dialogues into Actionable Insights / Project leader / completed
• Virtual Kids - Virtual characters to improve the quality of child interrogations / Team member / completed
• SCAI – Smart Contract Analytics using Artificial Intelligence / Deputy project leader / completed

Publications

Articles in scientific journal, peer-reviewed

Mahlow, C., Ulasik, M. A., & Tuggener, D. (2022). Extraction of transforming sequences and sentence histories from writing process data : a first step towards linguistic modeling of writing. Reading and Writing, 37(2), 443–482. https://doi.org/10.1007/s11145-021-10234-6

Written conference contributions, peer-reviewed

• Schmid, L., von Däniken, P., Giedemann, P., Tuggener, D., Bühler, J., Kamenowski, M., Girschik, K., Baier, D., & Cieliebak, M. (2025). HICC : a dataset for German hate speech in conversational context [Conference paper]. Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025), 168–176. https://doi.org/10.21256/zhaw-35860
• Proceedings of the 10th edition of the Swiss Text Analytics Conference. (2025). In J. Gerber, M. Cieliebak, D. Tuggener, & M. Hürlimann (Eds.), 10th Swiss Text Analytics Conference – SwissText 2025, Winterthur, Switzerland, 13-15 May 2025. Association for Computational Linguistics. https://aclanthology.org/2025.swisstext-1.0/
• Tuggener, D., Schneider, T., Huwiler, A., Kreienbühl, T., Hischier, S., von Däniken, P., & Niehaus, S. (2024). Role-playing LLMs in professional communication training : the case of investigative interviews with children [Conference paper]. In P. H. Luz de Araujo, A. Baumann, D. Gromann, B. Krenn, B. Roth, & M. Wiegand (Eds.), Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024) (pp. 249–263). Association for Computational Linguistics. https://doi.org/10.21256/zhaw-31482
• von Däniken, P., Deriu, J. M., Tuggener, D., & Cieliebak, M. (2024). Favi-Score : a measure for favoritism in automated preference ratings for generative AI evaluation [Conference paper]. In L.-W. Ku, A. Martins, & V. Srikumar (eds.), Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 4437–4454). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-long.243
• Deriu, J., von Däniken, P., Tuggener, D., & Cieliebak, M. (2023). Correction of errors in preference ratings from automated metrics for text generation [Conference paper]. In A. Rogers, R. Boyd-Graber, & N. Okazaki (Eds.), Findings of the Association for Computational Linguistics: ACL 2023 (pp. 6456–6474). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-acl.404
• Deriu, J. M., Tuggener, D., von Däniken, P., & Cieliebak, M. (2022). Probing the robustness of trained metrics for conversational dialogue systems [Conference paper]. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2, 750–761. https://doi.org/10.18653/v1/2022.acl-short.85
• Tuggener, D., Mieskes, M., Deriu, J. M., & Cieliebak, M. (2021). Are we summarizing the right way? : a survey of dialogue summarization data sets [Conference paper]. Proceedings of the Third Workshop on New Frontiers in Summarization, 107–118. https://doi.org/10.21256/zhaw-23506
• Tuggener, D., & Aghaebrahimian, A. (2021, September 29). The Sentence End and Punctuation Prediction in NLG text (SEPP-NLG) shared task 2021. Proceedings of the Swiss Text Analytics Conference 2021. https://doi.org/10.21256/zhaw-23258
• Proceedings of the Swiss Text Analytics Conference 2021. (2021). In F. Benites, D. Tuggener, M. Hürlimann, M. Cieliebak, & M. Vogel (Eds.), 6th Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021. CEUR Workshop Proceedings. http://ceur-ws.org/Vol-2957/
• Deriu, J. M., Tuggener, D., von Däniken, P., Campos, J. A., Rodrigo, A., Belkacem, T., Soroa, A., Agirre, E., & Cieliebak, M. (2020). Spot The Bot : a robust and efficient framework for the evaluation of conversational dialogue systems [Conference paper]. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 3971–3984. https://doi.org/10.18653/v1/2020.emnlp-main.326
• Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). (2020). In S. Ebling, D. Tuggener, M. Hürlimann, M. Cieliebak, & M. Volk (Eds.), 5th SwissText & 16th KONVENS Joint Conference, Zurich (online), 24-25 June 2020. http://ceur-ws.org/Vol-2624/
• Tuggener, D., von Däniken, P., Peetz, T., & Cieliebak, M. (2020). LEDGAR : a large-scale multi-label corpus for text classification of legal provisions in contracts [Conference paper]. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), 1235–1241. https://doi.org/10.21256/zhaw-20087
• Grubenmann, R., Tuggener, D., von Däniken, P., Deriu, J. M., & Cieliebak, M. (2018). SB-CH : a Swiss German corpus with sentiment annotations. Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018.
• Siddiqui, N., Metzler, L., Tuggener, D., & Cieliebak, M. (2018). A framework for text analytics with visual exploration and machine learning. Fachkonferenz Technik, Architektur Und Life Sciences (FTAL), Lugano, 18.-19. Oktober 2018.
• Sugisaki, K., & Tuggener, D. (2018). German compound splitting using the compound productivity of morphemes [Conference paper]. In A. Barbaresi, H. Biber, F. Neubarth, & R. Osswald (Eds.), 14th Conference on Natural Language Processing - KONVENS 2018 (pp. 141–147). Austrian Academy of Sciences Press. https://doi.org/10.21256/zhaw-4974

Other publications

• Bühler, J., Jetzer, K., Seiwald, J., von Däniken, P., Kamenowski, M., Girschik, K., Baier, D., Sedano, L., Schmid, L., Tuggener, D., & Giedemann, P. (2026). Social Influencer:in: mit wirksamer Gesprächsführung gegen Hass im Netz. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-36018
• Bühler, J., von Däniken, P., Girschik, K., Giedemann, P., Kamenowski, M., Tuggener, D., & Baier, D. (2025). Social Influencer:in: mit wirksamer Gesprächsführung gegen Hass im Netz : Bericht 2024. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-32956
• Tuggener, D., & Niehaus, S. (2024). Using LLMs in professional training : criminal investigators improve their skills in children’s interrogations. ERCIM News, 136, 22–23. https://doi.org/10.21256/zhaw-29792
• Bühler, J., Hartmann, A., Tuggener, D., Cieliebak, M., & Baier, D. (2023). Safety-for-refugees.ch: eine Informations- und Meldewebseite für Ukraine-Flüchtlinge : Schlussbericht. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-28901
• von Däniken, P., Deriu, J. M., Tuggener, D., & Cieliebak, M. (2022). On the effectiveness of automated metrics for text generation systems [Conference paper]. Findings of the Association for Computational Linguistics: EMNLP 2022, 1503–1522. https://doi.org/10.21256/zhaw-27042
• Proceedings of the 4th edition of the Swiss Text Analytics Conference. (2019). In M. Cieliebak, D. Tuggener, & F. Benites (Eds.), SwissText 2019, Winterthur, 18-19 June 2019 (Vol. 2458). CEUR Workshop Proceedings. http://ceur-ws.org/Vol-2458/

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