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 Advanced Machine Learning and Machine Learning Operations
• CAS KI verstehen und anwenden: No-Code Lösungen für die betriebliche Praxis
• WBK Generative KI in Lehre und Weiterbildung

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. and 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), pp. 443–482. doi: 10.1007/s11145-021-10234-6.

Written conference contributions, peer-reviewed

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

Other publications

• Bühler, J. et al. (2026) Social Influencer:in: mit wirksamer Gesprächsführung gegen Hass im Netz. Zürich: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-36018.
• Bühler, J. et al. (2025) Social Influencer:in: mit wirksamer Gesprächsführung gegen Hass im Netz : Bericht 2024. Zürich: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-32956.
• Tuggener, D. and Niehaus, S. (2024) 'Using LLMs in professional training : criminal investigators improve their skills in children's interrogations', ERCIM News, (136), pp. 22–23. doi: 10.21256/zhaw-29792.
• Bühler, J. et al. (2023) Safety-for-refugees.ch: eine Informations- und Meldewebseite für Ukraine-Flüchtlinge : Schlussbericht. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-28901.
• von Däniken, P. et al. (2022) 'On the effectiveness of automated metrics for text generation systems', in Findings of the Association for Computational Linguistics: EMNLP 2022. Association for Computational Linguistics, pp. 1503–1522. doi: 10.21256/zhaw-27042.
• Cieliebak, M., Tuggener, D. and Benites, F. (eds) (2019) Proceedings of the 4th edition of the Swiss Text Analytics Conference, SwissText 2019, Winterthur, 18-19 June 2019. CEUR Workshop Proceedings. Available at: http://ceur-ws.org/Vol-2458/.

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