Prof. Dr. Mark Cieliebak

Work at ZHAW

Position

• Professor for Natural Language Processing
• Head of Natural Language Processing (NLP) Research Group

Focus

Natural Language Processing

Experience

• Professor for Natural Language Processing (NLP)
  Zurich University of Applied Sciences (ZHAW)
  12 / 2018 - today
• CEO
  SpinningBytes AG
  02 / 2015 - today
• Lecturer
  Zurich University of Applied Sciences (ZHAW)
  07 / 2012 - 12 / 2018
• Head of IT and Development
  Netbreeze GmbH
  09 / 2005 - 04 / 2012
• Software Engineer
  sd&m Schweiz AG
  09 / 2005 - 04 / 2007
• Software Engineer
  PROLIM Engineering
  04 / 2004 - 06 / 2004
• PostDoc
  University of Chile
  03 / 2004 - 06 / 2004
• Research Assistant
  ETH Zurich
  05 / 1999 - 12 / 2003

Education and Continuing education

Education

• Dr. sc. techn. / Computer Science
  ETH Zurich
  05 / 1999 - 12 / 2003
• Diploma / Computer Science
  University of Dortmund
  10 / 1990 - 02 / 1999

Network

Membership of networks

• Swiss Association for Natural Language Processing (SwissNLP)
• Competence Center for Generative AI

ORCID digital identifier

ORCID ID: 0009-0007-3059-8516

Awards

• SwissNLP Award
  Swiss Association for Natural Language Processing (SwissNLP)
  06 / 2023
• Best Paper Award - Honerable Mention
  EMNLP 2020
  11 / 2020
• Best Teaching Award
  Zurich University of Applied Sciences (ZHAW)
  02 / 2015

Social media

LinkedIn

Projects

• Swiss German Speech Processing for Persons with Speech Disorders / Project leader / Start imminent
• Critical Science Without Borders: LLMs for Translation of Scientific Knowledge in Multilingual Contexts / Project leader / ongoing
• Unified Model for Evaluation of Text Generation Systems / Project leader / ongoing
• NLP Community Building / Project leader / ongoing
• AutoNews: AI based automatic processing of content for a news portal / Project leader / completed
• Use of ChatGPT and Co. in teaching and research at the ZHAW / Team member / completed
• Learning Copilot / Team member / completed
• Monitoring of AV-Media / Team member / completed
• AI for self-organizing Content Platform / Project leader / completed
• Towards a Voice-Based Chatbot for Language Learners / Deputy project leader / completed
• Holistic Analysis of Organised Misinformation Activity in Social Networks / Project leader / completed
• PRISM: Predicting Radicalization Events in Social Media User Timelines / Project leader / completed
• End-to-End Low-Resource Speech Translation for Swiss German Dialects / Project leader / completed
• DOSSMA – Detection of Suspicious Social Media Activities / Project leader / completed
• Virtual Kids - Virtual characters to improve the quality of child interrogations / Deputy project leader / completed
• AuSuM – Automatic Supply Chain Monitoring / Project leader / completed
• Pre-Study on Generation of Hockey News / Project leader / completed
• Digital communication strategies for the cultural sector in the Lake Constance region / Team member / completed
• Call-E – Virtual Call Agent / Project leader / completed
• SCAI – Smart Contract Analytics using Artificial Intelligence / Project leader / completed
• Natural Language Processing for Tumor Classification / Project leader / completed
• LIHLITH – Learning to Interact with Humans by Lifelong Interaction with Humans / Project leader / completed
• Libra: A One-Tool Solution for MLD4 Compliance / Team member / completed
• DeepText: Intelligent Text Analysis with Deep Learning / Project leader / completed
• Feasibility Study on Automated Email Assistants / Project leader / completed
• Financial Demands of Swiss Municipalities / Project leader / completed
• Automated Article Segmentation of Newspaper Pages for "Real Time Print Media Monitoring" / Project leader / completed
• AUGEST – Automatic Generation of Regression Tests / Project leader / completed
• SODES – Swiss Open Data Exploration System / Project leader / completed
• Didactic Comparison between Traditional Teaching and Flipped Classroom / Project leader / completed
• Talkalyzer / Project leader / completed

Publications

Articles in scientific journal, peer-reviewed

• Schreiber, M., Jenny, G. J., Hürlimann, M., Parfenova, Y., von Däniken, P., & Cieliebak, M. (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). https://doi.org/10.1016/j.jrp.2025.104666
• Deriu, J. M., Rodrigo, A., Otegi, A., Echegoyen, G., Rosset, S., Agirre, E., & Cieliebak, M. (2020). Survey on evaluation methods for dialogue systems. Artificial Intelligence Review, 54(1), 755–810. https://doi.org/10.1007/s10462-020-09866-x
• Cieliebak, M., Benites de Azevedo e Souza, F., Leuschen, L., Hnizda, M., & Betzler, D. (2019). Natural language processing in arts management. Zeitschrift Für Kulturmanagement, 5(1), 119–142. https://doi.org/10.14361/zkmm-2019-0107
• Cieliebak, M. (2014). Flip your classroom : but be aware! Lifelong Learning in Europe, 2014(4).
• Cieliebak, M., Flocchini, P., Prencipe, G., & Santoro, N. (2012). Distributed computing by mobile robots : gathering. SIAM Journal on Computing, 41(4), 829–879. https://doi.org/10.1137/100796534
• Cieliebak, M., Eidenbenz, S., Pagourtzis, A. T., & Schlude, K. (2008). On the complexity of variations of Equal Sum Subsets. Nordic Journal of Computing, 14(3), 151–172. https://dl.acm.org/doi/10.5555/1737763.1737764

Book chapters, peer-reviewed

• Cieliebak, M., & Keck Frei, A. (2020). Flipped Classroom in der Hochschullehre einsetzen. In H. Bachmann (ed.), Hochschullehre variantenreich gestalten : Kompetenzorientierte Hochschullehre – Ansätze, Methoden und Beispiele. hep.
• Meierhofer, J., Stadelmann, T., & Cieliebak, M. (2019). Data products. In M. Braschler, T. Stadelmann, & K. Stockinger (Eds.), Applied data science : lessons learned for the data-driven business (pp. 47–61). Springer. https://doi.org/10.1007/978-3-030-11821-1_4

Written conference contributions, peer-reviewed

• Giedemann, P., von Däniken, P., Deriu, J. M., Rodrigo, A., Peñas, A., & Cieliebak, M. (2025). ViClaim : a multilingual multilabel dataset for automatic claim detection in videos [Conference paper]. In C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (pp. 397–413). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-main.21
• 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
• Stucki, S., Deriu, J., & Cieliebak, M. (2025). Voice adaptation for Swiss German [Conference paper]. Proceedings Interspeech 2025, 4143–4147. https://doi.org/10.21437/interspeech.2025-432
• von Däniken, P., Deriu, J. M., & Cieliebak, M. (2025). A measure of the system dependence of automated metrics [Conference paper]. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 87–99). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-short.8
• 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/
• Cieliebak, M., Gerber, J., & Hürlimann, M. (2025). SwissCoco2025 : the Swiss Corpora Collection 2025 [Conference paper]. In J. Gerber, M. Cieliebak, D. Tuggener, & M. Hürlimann (Eds.), Proceedings of the 10th edition of the Swiss Text Analytics Conference (pp. 133–148). Association for Computational Linguistics. https://doi.org/10.21256/zhaw-36110
• Michot, J., Hürlimann, M., Deriu, J. M., Sauer, L., Mlynchyk, K., & Cieliebak, M. (2024). Error-preserving automatic speech recognition of young English learners’ language [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. 6444–6454). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-long.348
• 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
• Proceedings of the 9th edition of the Swiss Text Analytics Conference. (2024). In C. Capol, M. Cieliebak, A. Weichselbraun, C. Musat, E. Maier, & L. Zimmermann (Eds.), 9th Swiss Text Analytics Conference – SwissText 2025, Chur, Switzerland, 10-11 June 2024. Association for Computational Linguistics. https://aclanthology.org/volumes/2024.swisstext-1/
• von Däniken, P., Deriu, J. M., Rodrigo, A., & Cieliebak, M. (2024). Improving quantification with minimal in-domain annotations : beyond classify and count [Conference paper]. Proceedings of the International AAAI Conference on Web and Social Media, 18(1), 1585–1598. https://doi.org/10.1609/icwsm.v18i1.31411
• 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
• Belz, A., Thomson, C., Reiter, E., Cieliebak, M., & Hürlimann, M. (2023). Missing information, unresponsive authors, experimental flaws : the impossibility of assessing the reproducibility of previous human evaluations in NLP [Conference paper]. The Fourth Workshop on Insights from Negative Results in NLP, 1–10. https://doi.org/10.18653/v1/2023.insights-1.1
• Hürlimann, M., & Cieliebak, M. (2023). Reproducing a comparative evaluation of German text-to-speech systems [Conference paper]. In A. Belz, M. Popovic, E. Reiter, C. Thomson, & J. Sedoc (Eds.), Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems (pp. 136–144). INCOMA. https://doi.org/10.21256/zhaw-29262
• von Däniken, P., Deriu, J. M., & Cieliebak, M. (2023). ZHAW-CAI at CheckThat! 2023 : ensembling using kernel averaging [Conference paper]. In M. Aliannejadi, G. Faggioli, N. Ferro, & M. Vlachos (Eds.), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023) (pp. 534–545). CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-29046
• Plüss, M., Deriu, J. M., Schraner, Y., Paonessa, C., Hartmann, J., Schmidt, L., Scheller, C., Hürlimann, M., Samardžic, T., Vogel, M., & Cieliebak, M. (2023). STT4SG-350 : a speech corpus for all Swiss German dialect regions [Conference paper]. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 1763–1772. https://doi.org/10.18653/v1/2023.acl-short.150
• Proceedings of the 8th edition of the Swiss Text Analytics Conference. (2023). In H. Ghorbel, M. Sokhn, M. Cieliebak, M. Hürlimann, E. de Salis, & J. Guerne (Eds.), 8th Swiss Text Analytics Conference – SwissText 2023, Neuchâtel, Switzerland, 12-14 June 2023. Association for Computational Linguistics. https://aclanthology.org/2023.swisstext-1.0/
• von Däniken, P., Deriu, J. M., Agirre, E., Brunner, U., Cieliebak, M., & Stockinger, K. (2022). Improving NL-to-Query systems through re-ranking of semantic hypothesis [Conference paper]. In M. Abbas & A. A. Freihat (Eds.), Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022) (pp. 57–67). Association for Computational Linguistics. https://doi.org/10.21256/zhaw-26147
• Plüss, M., Hürlimann, M., Cuny, M., Stöckli, A., Kapotis, N., Hartmann, J., Ulasik, M. A., Scheller, C., Schraner, Y., Jain, A., Deriu, J. M., Cieliebak, M., & Vogel, M. (2022). SDS-200 : a Swiss German speech to Standard German text corpus [Conference paper]. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), 3250–3256. https://doi.org/10.21256/zhaw-26131
• 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
• Ulasik, M. A., Hürlimann, M., Dubel, B., Kaufmann, Y., Rudolf, S., Deriu, J. M., Mlynchyk, K., Hutter, H.-P., & Cieliebak, M. (2021). ZHAW-CAI : ensemble method for Swiss German speech to Standard German text [Conference paper]. In F. Benites de Azevedo e Souza, D. Tuggener, M. Hürlimann, M. Cieliebak, & M. Vogel (Eds.), Proceedings of the Swiss Text Analytics Conference 2021. CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-23889
• 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
• 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/
• Aghaebrahimian, A., & Cieliebak, M. (2020). Named entity disambiguation at scale [Conference paper]. In F.-P. Schilling & T. Stadelmann (Eds.), Artificial Neural Networks in Pattern Recognition (pp. 102–110). Springer. https://doi.org/10.1007/978-3-030-58309-5_8
• Campos, J. A., Otegi, A., Soroa, A., Deriu, J. M., Cieliebak, M., & Agirre, E. (2020). DoQA : accessing domain-specific FAQs via conversational QA [Conference paper]. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 7302–7314. https://doi.org/10.18653/v1/2020.acl-main.652
• Ulasik, M. A., Hürlimann, M., Germann, F., Gedik, E., Benites de Azevedo e Souza, F., & Cieliebak, M. (2020). CEASR : a corpus for evaluating automatic speech recognition [Conference paper]. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) (pp. 6477–6485). European Language Resources Association. https://doi.org/10.21256/zhaw-20125
• Benites de Azevedo e Souza, F., Hürlimann, M., von Däniken, P., & Cieliebak, M. (2020). ZHAW-InIT : social media geolocation at VarDial 2020 [Conference paper]. In M. Zampieri, P. Nakov, N. Ljubešić, J. Tiedemann, & Y. Scherrer (Eds.), Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects (pp. 254–264). International Committee on Computational Linguistics (ICCL). https://doi.org/10.21256/zhaw-21551
• 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
• Deriu, J. M., Mlynchyk, K., Schläpfer, P., Rodrigo, A., von Grünigen, D., Kaiser, N., Stockinger, K., Agirre, E., & Cieliebak, M. (2020). A methodology for creating question answering corpora using inverse data annotation [Conference paper]. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 897–911. https://doi.org/10.18653/v1/2020.acl-main.84
• Büchi, M., Ulasik, M. A., Hürlimann, M., Benites de Azevedo e Souza, F., von Däniken, P., & Cieliebak, M. (2020). ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text [Conference paper]. In S. Ebling, D. Tuggener, M. Hürlimann, M. Cieliebak, & M. Volk (Eds.), Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-21550
• 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
• Benites de Azevedo e Souza, F., Duivesteijn, G. F., von Däniken, P., & Cieliebak, M. (2020). TRANSLIT : a large-scale name transliteration resource [Conference paper]. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), 3265–3271. https://doi.org/10.21256/zhaw-20082
• Aghaebrahimian, A., & Cieliebak, M. (2019). Hyperparameter tuning for deep learning in natural language processing. 4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 2019. https://doi.org/10.21256/zhaw-18993
• Agirre, E., Otegi, A., Pradel, C., Rosset, S., Peñas, A., & Cieliebak, M. (2019). LIHLITH : learning to interact with humans by lifelong interaction with humans. SEPLN2019, Bilbao, Spain, September 25-27, 2019.
• Cieliebak, M., Galibert, O., & Deriu, J. M. (2019). Towards understanding lifelong learning for dialogue systems. IWSDS 2019 Proceedings.
• Aghaebrahimian, A., & Cieliebak, M. (2019). Towards integration of statistical hypothesis tests into deep neural networks [Conference paper]. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 5551–5557. https://doi.org/10.18653/v1/P19-1557
• Deriu, J. M., & Cieliebak, M. (2019). Towards a metric for automated conversational dialogue system evaluation and improvement. 2th International Conference on Natural Language Generation (INLG 2019), Tokyo, Japan, October 29 - November 1, 2019. https://www.inlg2019.com/assets/papers/132_Paper.pdf
• Sileo, D., Pradel, C., Peñas, A., Echegoyen, G., Otegi, A., Deriu, J. M., Cieliebak, M., Barrena, A., & Agirre, E. (2019). Matching words and knowledge graph entities with meta-embeddings [Conference paper]. Proceedings of CAp2019, 34–39.
• Benites de Azevedo e Souza, F., von Däniken, P., & Cieliebak, M. (2019). TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019 [Conference paper]. Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects, 194–201. https://doi.org/10.18653/v1/W19-1421
• 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.
• von Däniken, P., Grubenmann, R., & Cieliebak, M. (2018). Word unigram weighing for author profiling at PAN 2018 : notebook for PAN at CLEF 2018 [Conference poster]. CLEF 2018 Evaluation Labs and Workshop – Working Notes Papers (PAN), 2125. http://ceur-ws.org/Vol-2125/paper_135.pdf
• von Grünigen, D., Grubenmann, R., Benites de Azevedo e Souza, F., von Däniken, P., & Cieliebak, M. (2018). spMMMP at GermEval 2018 shared task : classification of offensive content in tweets using convolutional neural networks and gated recurrent units [Conference paper]. Proceedings of the GermEval 2018 Workshop : 14th Conference on Natural Language Processing - KONVENS 2018, 130–137. https://www.oeaw.ac.at/fileadmin/subsites/academiaecorpora/PDF/GermEval2018_Proceedings.pdf
• von Grünigen, D., Benites de Azevedo e Souza, F., Pradarelli, B., Magid, A., & Cieliebak, M. (2018). Best practices in e-assessments with a special focus on cheating prevention [Conference paper]. Proceedings of 2018 IEEE Global Engineering Education Conference (EDUCON), 893–899. https://doi.org/10.1109/EDUCON.2018.8363325
• Deriu, J. M., & Cieliebak, M. (2018). Syntactic manipulation for generating more diverse and interesting texts [Conference paper]. Proceedings of the 11th International Conference on Natural Language Generation, 22–34. https://doi.org/10.18653/v1/W18-6503
• Benites de Azevedo e Souza, F., Duivesteijn, G., von Däniken, P., & Cieliebak, M. (2018). Merging haystacks to find matching needles : a transliteration approach. SwissText 2018: 3rd Swiss Text Analytics Conference, Winterthur, 12.-13. Juni 2018.
• Benites de Azevedo e Souza, F., Grubenmann, R., von Däniken, P., von Grünigen, D., Deriu, J. M., & Cieliebak, M. (2018). Twist Bytes : German dialect identification with data mining optimization [Conference paper]. Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018), 218–227. https://doi.org/10.21256/zhaw-4850
• Benites de Azevedo e Souza, F., & Cieliebak, M. (2017). Hierarchical classificaion for news articles. SwissText 2017: 2nd Swiss Text Analytics Conference, Winterthur, 9. Juni 2017.
• Müller, S., Huonder, T., Deriu, J. M., & Cieliebak, M. (2017). TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision [Conference paper]. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 766–771. https://doi.org/10.21256/zhaw-1529
• Falkner, N., Dolce, S., von Däniken, P., & Cieliebak, M. (2017). Swiss chocolate at CAp 2017 NER challenge : partially annotated data and transfer learning. 19th Conference Sur l’Apprentissage Automatique, Grenoble, 28-30 June 2017. https://doi.org/10.21256/zhaw-1532
• von Grünigen, D., Weilenmann, M., Deriu, J. M., & Cieliebak, M. (2017). Potential and limitations of cross-domain sentiment classification [Conference paper]. Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, 17–24. https://doi.org/10.18653/v1/W17-1103
• Kodiyan, D., Hardegger, F., Neuhaus, S., & Cieliebak, M. (2017). Author profiling with bidirectional RNNs using attention with GRUs : notebook for PAN at CLEF 2017 [Conference paper]. CLEF 2017 Evaluation Labs and Workshop – Working Notes Papers, 1866. https://doi.org/10.21256/zhaw-1531
• Cieliebak, M., Magid, A., & Pradarelli, B. (2017). How to throw chocolate at students : a survey of extrinsic means for increased audience attention [Conference paper]. Global Engineering Education Conference (EDUCON), 199–203. https://doi.org/10.1109/EDUCON.2017.7942847
• Cieliebak, M., Deriu, J. M., Egger, D., & Uzdilli, F. (2017). A Twitter corpus and benchmark resources for german sentiment analysis [Conference paper]. 5th International Workshop on Natural Language Processing for Social Media, Boston MA, USA, 11 December 2017, 45–51. https://doi.org/10.18653/v1/W17-1106
• Meier, B., Stadelmann, T., Stampfli, J., Arnold, M., & Cieliebak, M. (2017). Fully convolutional neural networks for newspaper article segmentation. Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). https://doi.org/10.21256/zhaw-1533
• Graf, H. D., Koc, Y., Panighetti, S., Togni, M., von Grünigen, D., Weilenmann, M., Xhoxhaj, E., Zürrer, D., Benites de Azevedo e Souza, F., Deriu, J. M., Neureiter, N., von Däniken, P., Cieliebak, M., Eich, W., Neuhaus, S., & Stockinger, K. (2017). Four different ways to build a chatbot about movies. SwissText 2017: 2nd Swiss Text Analytics Conference, Winterthur, 9. Juni 2017.
• von Däniken, P., & Cieliebak, M. (2017). Transfer learning and sentence level features for named entity recognition on tweets [Conference paper]. Proceedings of the 3rd Workshop on Noisy User-Generated Text, 3, 166–171. https://doi.org/10.21256/zhaw-1528
• Deriu, J. M., & Cieliebak, M. (2016). Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweets [Conference paper]. In R. Basili & S. Montemagni (Eds.), Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016). Italian Journal of Computational Linguistics. https://doi.org/10.21256/zhaw-1527
• Uzdilli, F., Cieliebak, M., & Egger, D. (2016). Adverse drug reaction detection using an adapted sentiment classifier. Proceedings of the Social Media Mining Shared Task Workshop at the Pacific Symposium on Biocomputing.
• Cieliebak, M., & Keck Frei, A. (2016). Influence of flipped classroom on technical skills and non-technical competences of IT students [Conference paper]. Global Engineering Education Conference (EDUCON), Abu Dhabi, UAE, 10-13 April 2016, 1012–1016. https://doi.org/10.1109/EDUCON.2016.7474676
• Uzdilli, F., Jaggi, M., Egger, D., Julmy, P., Derczynski, L., & Cieliebak, M. (2015). Swiss-Chocolate : combining flipout regularization and random forests with artificially built subsystems to boost text-classification for sentiment [Conference paper]. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver, Colorado, June 4-5, 2015, 9, 608–612. https://doi.org/10.18653/v1/S15-2101
• Arnold, M., Cieliebak, M., Stadelmann, T., Stampfli, J., & Uzdilli, F. (2015). PANOPTES : automated article segmentation of newspaper pages for “Real Time Print Media Monitoring“. Proceedings of SGAICO Annual Assembly and Workshop 2015. https://doi.org/10.21256/zhaw-7739
• Stadelmann, T., Stockinger, K., Braschler, M., Cieliebak, M., Baudinot, G., Dürr, O., & Ruckstuhl, A. (2013). Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic. Proceedings of the 9th European Computer Science Summit.

Other publications

• Proceedings of the Swiss Text Analytics Conference 2022. (2023). In M. Hürlimann, R. Mastropietro, D. Puccinelli, F. Rinaldi, & M. Cieliebak (Eds.), 7th Swiss Text Analytics Conference – SwissText 2022, Lugano, Switzerland, 8-10 June 2022. CEUR Workshop Proceedings. https://ceur-ws.org/Vol-3361/
• Cieliebak, M., Drewek, A., Jakob Grob, K., Kruse, O., Mlynchyk, K., Rapp, C., & Waller, G. (2023). Generative KI beim Verfassen von Bachelorarbeiten : Ergebnisse einer Studierendenbefragung im Juli 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-2491
• Paonessa, C., Schraner, Y., Deriu, J. M., Hürlimann, M., Vogel, M., & Cieliebak, M. (2023). Dialect transfer for Swiss German speech translation. arXiv. https://doi.org/10.48550/arXiv.2310.09088
• 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
• Hürlimann, M., Galbier, J., & Cieliebak, M. (2022). Speech-to-text technology for hard-of-hearing people. ERCIM News, 130, 15–16. https://doi.org/10.21256/zhaw-27071
• Leuschen, L., Betzler, D., Fredersdorf, F., Rebitzer, F., Cieliebak, M., & Benites de Azevedo e Souza, F. (2020). Digitale Kommunikationsstrategien für den Kultursektor der Bodenseeregion. Internationale Bodensee Hochschule. https://www.bodenseehochschule.org/wp-content/uploads/2020/10/IBH-Projekt_Digitale-Kommunikationsstrategien-f%C3%BCr-den-Kultursektor_Abschlussbericht-mit-Grafik.pdf
• von Däniken, P., Hürlimann, M., & Cieliebak, M. (2020). Overview of the GermEval 2020 shared task on Swiss German language identification [Conference paper]. In S. Ebling, D. Tuggener, M. Hürlimann, M. Cieliebak, & M. Volk (Eds.), Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-21549
• Venzin, V., Deriu, J. M., Didier, O., & Cieliebak, M. (2019). Fact-aware abstractive text summarization using a pointer-generator network. 4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 2019. https://doi.org/10.21256/zhaw-18988
• Cieliebak, M., Benites de Azevedo e Souza, F., Leuschen, L., Hnizda, M., & Betzler, D. (2019). Methods of NLP in arts management. 8th International Conference on Writing Analytics, Winterthur, 5-6 September 2019. https://doi.org/10.21256/zhaw-18443
• 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/
• Schneuwly, A., Grubenmann, R., Logean, S. R., Cieliebak, M., & Jaggi, M. (2019). Correlating twitter language with community-level health outcomes. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-18986
• Deriu, J. M., Rodrigo, A., Otegi, A., Guillermo, E., Rosset, S., Agirre, E., & Cieliebak, M. (2019). Survey on evaluation methods for dialogue. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-18985
• Agirre, E., Marchand, S., Rosset, S., Peñas, A., & Cieliebak, M. (2018). LIHLITH : improving communication skills of robots through lifelong learning. ERCIM News, 2018(114), 12. https://ercim-news.ercim.eu/images/stories/EN114/EN114-web.pdf
• Deriu, J. M., & Cieliebak, M. (2017). SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering [Conference paper]. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 11, 334–338. https://doi.org/10.18653/v1/S17-2054
• Deriu, J. M., Lucchi, A., De Luca, V., Severyn, A., Müller, S., Cieliebak, M., Hofmann, T., & Jaggi, M. (2017). Leveraging large amounts of weakly supervised data for multi-language sentiment classification [Conference paper]. Proceedings of the 26th International Conference on World Wide Web, 1045–1052. https://doi.org/10.1145/3038912.3052611
• Deriu, J. M., & Cieliebak, M. (2017). End-to-end trainable system for enhancing diversity in natural language generation. End-to-End Natural Language Generation Challenge (E2E NLG), 2017. https://doi.org/10.21256/zhaw-4889
• Cieliebak, M. (2016). Optimising Deep Learning for Infinite Applications in Text Analytics. ERCIM News, 107. http://dreamboxx.com/mark/data/ercim_news_107_2016_article.pdf
• Cieliebak, M. (2016). Deep learning for infinite applications in text analytics. swiTT Report.
• Cieliebak, M., Egger, D., & Uzdilli, F. (2016). Twitter can help to find adverse drug reactions. ERCIM News, 104.
• Schutzbach, D., Uzdilli, F., & Cieliebak, M. (2015). Back to the Future : Time-Travelling-Debugger als Alternative zu klassischen Debuggern. Java Magazin, 2015(11), 18–22.
• Stadelmann, T., Cieliebak, M., & Stockinger, K. (2015). Toward automatic data curation for open data. ERCIM News, 2015(100), 32–33. https://doi.org/10.21256/zhaw-3643
• Cieliebak, M., Dürr, O., & Uzdilli, F. (2014). Meta-classifiers easily improve commercial sentiment detection tools [Conference paper]. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014), 3943–3947.
• Jaggi, M., Uzdilli, F., & Cieliebak, M. (2014). Swiss-chocolate : sentiment detection using sparse SVMs and part-of-speech n-grams [Conference paper]. Proceedings of the International Workshop on Semantic Evaluation (SemEval-2014), 601–604. https://doi.org/10.21256/zhaw-3780
• Cieliebak, M. (2014). Auswirkungen von Flipped Classroom auf Fachwissen und Kompetenzen von Studierenden. ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
• Dürr, O., Uzdilli, F., & Cieliebak, M. (2014). JOINT_FORCES : unite competing sentiment classifiers with random forest [Conference paper]. Proceedings of the International Workshop on Semantic Evaluation (SemEval-2014), 366–369. https://doi.org/10.21256/zhaw-3779
• Cieliebak, M., Dürr, O., & Uzdilli, F. (2013). Potential and limitations of commercial sentiment detection tools [Conference paper]. Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: Approaches and Perspectives from AI (ESSEM 2013), 47–58. http://ceur-ws.org/Vol-1096/paper4.pdf
• Cieliebak, M. (2011). Social CRM : vom Hype zum Standard. Infoweek.ch.

Affiliations

Current Affiliations

• Swiss Association for Natural Language Processing (SwissNLP): President
  President of the Association, Winterthur
  02 / 2020 - today
• SpinningBytes AG: President of the Board
  President of the Board, Winterthur
  02 / 2016 - today

go back