Pius von Däniken

Projects

• Unified Model for Evaluation of Text Generation Systems / Team member / ongoing
• Holistic Analysis of Organised Misinformation Activity in Social Networks / Team member / completed
• PRISM: Predicting Radicalization Events in Social Media User Timelines / Team member / completed
• DOSSMA – Detection of Suspicious Social Media Activities / Team member / completed
• SCAI – Smart Contract Analytics using Artificial Intelligence / Team member / completed

Publications

Articles in scientific journal, peer-reviewed

• Schreiber, M. et al. (2025) 'A discourse on the use of machine learning (ML) in personality psychology : can we expect ML to predict questionnaire scores from idiographic text-based data?', Journal of Research in Personality, 119(104666). doi: 10.1016/j.jrp.2025.104666.
• Tuggener, L. et al. (2020) 'Design patterns for resource-constrained automated deep-learning methods', AI, 1(4), pp. 510–538. doi: 10.3390/ai1040031.

Written conference contributions, peer-reviewed

• Giedemann, P. et al. (2025) 'ViClaim : a multilingual multilabel dataset for automatic claim detection in videos', in Christodoulopoulos, C. et al. (eds) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp. 397–413. doi: 10.18653/v1/2025.emnlp-main.21.
• 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.
• von Däniken, P., Deriu, J. M. and Cieliebak, M. (2025) 'A measure of the system dependence of automated metrics', in Che, W. et al. (eds) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics, pp. 87–99. doi: 10.18653/v1/2025.acl-short.8.
• 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.
• von Däniken, P. et al. (2024) 'Improving quantification with minimal in-domain annotations : beyond classify and count', in Proceedings of the International AAAI Conference on Web and Social Media. AAAI Press, pp. 1585–1598. doi: 10.1609/icwsm.v18i1.31411.
• 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.
• von Däniken, P., Deriu, J. M. and Cieliebak, M. (2023) 'ZHAW-CAI at CheckThat! 2023 : ensembling using kernel averaging', in Aliannejadi, M. et al. (eds) Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023). CEUR Workshop Proceedings, pp. 534–545. doi: 10.21256/zhaw-29046.
• von Däniken, P. et al. (2022) 'Improving NL-to-Query systems through re-ranking of semantic hypothesis', in Abbas, M. and Freihat, A. A. (eds) Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022). Association for Computational Linguistics, pp. 57–67. doi: 10.21256/zhaw-26147.
• 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.
• Benites de Azevedo e Souza, F. et al. (2020) 'ZHAW-InIT : social media geolocation at VarDial 2020', in Zampieri, M. et al. (eds) Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects. International Committee on Computational Linguistics, pp. 254–264. doi: 10.21256/zhaw-21551.
• 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.
• Büchi, M. et al. (2020) 'ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text', in Ebling, S. et al. (eds) Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). CEUR Workshop Proceedings. doi: 10.21256/zhaw-21550.
• Benites de Azevedo e Souza, F. et al. (2020) 'TRANSLIT : a large-scale name transliteration resource', in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, pp. 3265–3271. doi: 10.21256/zhaw-20082.
• 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.
• Benites de Azevedo e Souza, F., von Däniken, P. and Cieliebak, M. (2019) 'TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019', in Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects. Ann Arbor: Association for Computational Linguistics, pp. 194–201. doi: 10.18653/v1/W19-1421.
• 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.
• von Däniken, P., Grubenmann, R. and Cieliebak, M. (2018) 'Word unigram weighing for author profiling at PAN 2018 : notebook for PAN at CLEF 2018', in CLEF 2018 Evaluation Labs and Workshop – Working Notes Papers (PAN). Available at: http://ceur-ws.org/Vol-2125/paper_135.pdf.
• Benites de Azevedo e Souza, F. et al. (2018) 'Twist Bytes : German dialect identification with data mining optimization', in Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018). VarDial, pp. 218–227. doi: 10.21256/zhaw-4850.
• Benites de Azevedo e Souza, F. et al. (2018) 'Merging haystacks to find matching needles : a transliteration approach', in SwissText 2018: 3rd Swiss Text Analytics Conference, Winterthur, 12.-13. Juni 2018.
• von Grünigen, D. et al. (2018) 'spMMMP at GermEval 2018 shared task : classification of offensive content in tweets using convolutional neural networks and gated recurrent units', in Proceedings of the GermEval 2018 Workshop : 14th Conference on Natural Language Processing - KONVENS 2018. ÖAW Austrian Academy of Sciences, pp. 130–137. Available at: https://www.oeaw.ac.at/fileadmin/subsites/academiaecorpora/PDF/GermEval2018_Proceedings.pdf.
• Graf, H. D. et al. (2017) 'Four different ways to build a chatbot about movies', in SwissText 2017: 2nd Swiss Text Analytics Conference, Winterthur, 9. Juni 2017.

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.
• 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.
• von Däniken, P. (2021) Improving a semantic parser through user interaction. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-22938.
• von Däniken, P., Hürlimann, M. and Cieliebak, M. (2020) 'Overview of the GermEval 2020 shared task on Swiss German language identification', in Ebling, S. et al. (eds) Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). CEUR Workshop Proceedings. doi: 10.21256/zhaw-21549.

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