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. 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.
• Deriu, J. M. et al. (2020) 'Survey on evaluation methods for dialogue systems', Artificial Intelligence Review, 54(1), pp. 755–810. doi: 10.1007/s10462-020-09866-x.
• Cieliebak, M. et al. (2019) 'Natural language processing in arts management', Zeitschrift für Kulturmanagement, 5(1), pp. 119–142. doi: 10.14361/zkmm-2019-0107.
• Cieliebak, M. (2014) 'Flip your classroom : but be aware!', Lifelong Learning in Europe, 2014(4).
• Cieliebak, M. et al. (2012) 'Distributed computing by mobile robots : gathering', SIAM Journal on Computing, 41(4), pp. 829–879. doi: 10.1137/100796534.
• Cieliebak, M. et al. (2008) 'On the complexity of variations of Equal Sum Subsets', Nordic Journal of Computing, 14(3), pp. 151–172. Available at: https://dl.acm.org/doi/10.5555/1737763.1737764.

Book chapters, peer-reviewed

• Cieliebak, M. and Keck Frei, A. (2020) 'Flipped Classroom in der Hochschullehre einsetzen', in Bachmann, H. (ed.) Hochschullehre variantenreich gestalten : Kompetenzorientierte Hochschullehre – Ansätze, Methoden und Beispiele. Bern: hep.
• Meierhofer, J., Stadelmann, T. and Cieliebak, M. (2019) 'Data products', in Braschler, M., Stadelmann, T., and Stockinger, K. (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 47–61. doi: 10.1007/978-3-030-11821-1_4.

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.
• Stucki, S., Deriu, J. and Cieliebak, M. (2025) 'Voice adaptation for Swiss German', in Proceedings Interspeech 2025. International Speech Communication Association, pp. 4143–4147. doi: 10.21437/interspeech.2025-432.
• 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.
• 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/.
• Cieliebak, M., Gerber, J. and Hürlimann, M. (2025) 'SwissCoco2025 : the Swiss Corpora Collection 2025', in Gerber, J. et al. (eds) Proceedings of the 10th edition of the Swiss Text Analytics Conference. Association for Computational Linguistics, pp. 133–148. doi: 10.21256/zhaw-36110.
• Michot, J. et al. (2024) 'Error-preserving automatic speech recognition of young English learners' language', 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. 6444–6454. doi: 10.18653/v1/2024.acl-long.348.
• 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.
• Capol, C. et al. (eds) (2024) Proceedings of the 9th edition of the Swiss Text Analytics Conference, 9th Swiss Text Analytics Conference – SwissText 2025, Chur, Switzerland, 10-11 June 2024. Association for Computational Linguistics. Available at: https://aclanthology.org/volumes/2024.swisstext-1/.
• Hürlimann, M. and Cieliebak, M. (2023) 'Reproducing a comparative evaluation of German text-to-speech systems', in Belz, A. et al. (eds) Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems. Shoumen: INCOMA, pp. 136–144. doi: 10.21256/zhaw-29262.
• Belz, A. et al. (2023) 'Missing information, unresponsive authors, experimental flaws : the impossibility of assessing the reproducibility of previous human evaluations in NLP', in The Fourth Workshop on Insights from Negative Results in NLP. Association for Computational Linguistics, pp. 1–10. doi: 10.18653/v1/2023.insights-1.1.
• 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.
• Plüss, M. et al. (2023) 'STT4SG-350 : a speech corpus for all Swiss German dialect regions', in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics, pp. 1763–1772. doi: 10.18653/v1/2023.acl-short.150.
• 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.
• Ghorbel, H. et al. (eds) (2023) Proceedings of the 8th edition of the Swiss Text Analytics Conference, 8th Swiss Text Analytics Conference – SwissText 2023, Neuchâtel, Switzerland, 12-14 June 2023. Association for Computational Linguistics. Available at: https://aclanthology.org/2023.swisstext-1.0/.
• 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.
• Plüss, M. et al. (2022) 'SDS-200 : a Swiss German speech to Standard German text corpus', in Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association, pp. 3250–3256. doi: 10.21256/zhaw-26131.
• 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.
• Ulasik, M. A. et al. (2021) 'ZHAW-CAI : ensemble method for Swiss German speech to Standard German text', in Benites de Azevedo e Souza, F. et al. (eds) Proceedings of the Swiss Text Analytics Conference 2021. CEUR Workshop Proceedings. doi: 10.21256/zhaw-23889.
• 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/.
• Campos, J. A. et al. (2020) 'DoQA : accessing domain-specific FAQs via conversational QA', in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, pp. 7302–7314. doi: 10.18653/v1/2020.acl-main.652.
• Ulasik, M. A. et al. (2020) 'CEASR : a corpus for evaluating automatic speech recognition', in Calzolari, N. et al. (eds) Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, pp. 6477–6485. doi: 10.21256/zhaw-20125.
• Aghaebrahimian, A. and Cieliebak, M. (2020) 'Named entity disambiguation at scale', in Schilling, F.-P. and Stadelmann, T. (eds) Artificial Neural Networks in Pattern Recognition. Cham: Springer, pp. 102–110. doi: 10.1007/978-3-030-58309-5_8.
• 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.
• Deriu, J. M. et al. (2020) 'A methodology for creating question answering corpora using inverse data annotation', in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, pp. 897–911. doi: 10.18653/v1/2020.acl-main.84.
• 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.
• 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/.
• 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.
• Aghaebrahimian, A. and Cieliebak, M. (2019) 'Towards integration of statistical hypothesis tests into deep neural networks', in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, pp. 5551–5557. doi: 10.18653/v1/P19-1557.
• Cieliebak, M., Galibert, O. and Deriu, J. M. (2019) 'Towards understanding lifelong learning for dialogue systems', in IWSDS 2019 Proceedings. IWSDS.
• Deriu, J. M. and Cieliebak, M. (2019) 'Towards a metric for automated conversational dialogue system evaluation and improvement', in 2th International Conference on Natural Language Generation (INLG 2019), Tokyo, Japan, October 29 - November 1, 2019. Available at: https://www.inlg2019.com/assets/papers/132_Paper.pdf.
• Agirre, E. et al. (2019) 'LIHLITH : learning to interact with humans by lifelong interaction with humans', in SEPLN2019, Bilbao, Spain, September 25-27, 2019.
• Aghaebrahimian, A. and Cieliebak, M. (2019) 'Hyperparameter tuning for deep learning in natural language processing', in 4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 2019. Swisstext. doi: 10.21256/zhaw-18993.
• Sileo, D. et al. (2019) 'Matching words and knowledge graph entities with meta-embeddings', in Proceedings of CAp2019. PFIA, pp. 34–39.
• 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.
• 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.
• 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) 'Best practices in e-assessments with a special focus on cheating prevention', in Proceedings of 2018 IEEE Global Engineering Education Conference (EDUCON). IEEE, pp. 893–899. doi: 10.1109/EDUCON.2018.8363325.
• Deriu, J. M. and Cieliebak, M. (2018) 'Syntactic manipulation for generating more diverse and interesting texts', in Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics, pp. 22–34. doi: 10.18653/v1/W18-6503.
• 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.
• 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.
• 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.
• Müller, S. et al. (2017) 'TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision', in Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Association for Computational Linguistics, pp. 766–771. doi: 10.21256/zhaw-1529.
• 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.
• Meier, B. et al. (2017) 'Fully convolutional neural networks for newspaper article segmentation', in Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). Kyoto: CPS. doi: 10.21256/zhaw-1533.
• von Grünigen, D. et al. (2017) 'Potential and limitations of cross-domain sentiment classification', in Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media. Stroudsburg: Association for Computational Linguistics, pp. 17–24. doi: 10.18653/v1/W17-1103.
• Cieliebak, M., Magid, A. and Pradarelli, B. (2017) 'How to throw chocolate at students : a survey of extrinsic means for increased audience attention', in Global Engineering Education Conference (EDUCON). IEEE, pp. 199–203. doi: 10.1109/EDUCON.2017.7942847.
• von Däniken, P. and Cieliebak, M. (2017) 'Transfer learning and sentence level features for named entity recognition on tweets', in Proceedings of the 3rd Workshop on Noisy User-generated Text. Association for Computational Linguistics, pp. 166–171. doi: 10.21256/zhaw-1528.
• Kodiyan, D. et al. (2017) 'Author profiling with bidirectional RNNs using attention with GRUs : notebook for PAN at CLEF 2017', in CLEF 2017 Evaluation Labs and Workshop – Working Notes Papers. RWTH Aachen. doi: 10.21256/zhaw-1531.
• Falkner, N. et al. (2017) 'Swiss chocolate at CAp 2017 NER challenge : partially annotated data and transfer learning', in 19th Conference sur l'Apprentissage Automatique, Grenoble, 28-30 June 2017. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-1532.
• Benites de Azevedo e Souza, F. and Cieliebak, M. (2017) 'Hierarchical classificaion for news articles', in SwissText 2017: 2nd Swiss Text Analytics Conference, Winterthur, 9. Juni 2017.
• Cieliebak, M. et al. (2017) 'A Twitter corpus and benchmark resources for german sentiment analysis', in 5th International Workshop on Natural Language Processing for Social Media, Boston MA, USA, 11 December 2017. Association for Computational Linguistics, pp. 45–51. doi: 10.18653/v1/W17-1106.
• Cieliebak, M. and Keck Frei, A. (2016) 'Influence of flipped classroom on technical skills and non-technical competences of IT students', in Global Engineering Education Conference (EDUCON), Abu Dhabi, UAE, 10-13 April 2016. IEEE, pp. 1012–1016. doi: 10.1109/EDUCON.2016.7474676.
• Deriu, J. M. and Cieliebak, M. (2016) 'Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweets', in Basili, R. and Montemagni, S. (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. doi: 10.21256/zhaw-1527.
• Uzdilli, F., Cieliebak, M. and Egger, D. (2016) 'Adverse drug reaction detection using an adapted sentiment classifier', in Proceedings of the Social Media Mining Shared Task Workshop at the Pacific Symposium on Biocomputing.
• Uzdilli, F. et al. (2015) 'Swiss-Chocolate : combining flipout regularization and random forests with artificially built subsystems to boost text-classification for sentiment', in Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver, Colorado, June 4-5, 2015. Association for Computational Linguistics, pp. 608–612. doi: 10.18653/v1/S15-2101.
• Arnold, M. et al. (2015) 'PANOPTES : automated article segmentation of newspaper pages for 'Real Time Print Media Monitoring"', in Proceedings of SGAICO Annual Assembly and Workshop 2015. Swiss Group for Artificial Intelligence and Cognitive Science. doi: 10.21256/zhaw-7739.
• Stadelmann, T. et al. (2013) 'Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic', in Proceedings of the 9th European Computer Science Summit.

Other publications

• Hürlimann, M. et al. (eds) (2023) Proceedings of the Swiss Text Analytics Conference 2022, 7th Swiss Text Analytics Conference – SwissText 2022, Lugano, Switzerland, 8-10 June 2022. CEUR Workshop Proceedings. Available at: https://ceur-ws.org/Vol-3361/.
• Cieliebak, M. et al. (2023) Generative KI beim Verfassen von Bachelorarbeiten : Ergebnisse einer Studierendenbefragung im Juli 2023. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-2491.
• Paonessa, C. et al. (2023) Dialect transfer for Swiss German speech translation. arXiv. doi: 10.48550/arXiv.2310.09088.
• 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.
• Hürlimann, M., Galbier, J. and Cieliebak, M. (2022) 'Speech-to-text technology for hard-of-hearing people', ERCIM News, (130), pp. 15–16. doi: 10.21256/zhaw-27071.
• Leuschen, L. et al. (2020) Digitale Kommunikationsstrategien für den Kultursektor der Bodenseeregion. Kreuzlingen: Internationale Bodensee Hochschule. Available at: 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. 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.
• Venzin, V. et al. (2019) 'Fact-aware abstractive text summarization using a pointer-generator network', in 4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 2019. Swisstext. doi: 10.21256/zhaw-18988.
• Cieliebak, M. et al. (2019) 'Methods of NLP in arts management', in 8th International Conference on Writing Analytics, Winterthur, 5-6 September 2019. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-18443.
• 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/.
• Schneuwly, A. et al. (2019) Correlating twitter language with community-level health outcomes. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-18986.
• Deriu, J. M. et al. (eds) (2019) Survey on evaluation methods for dialogue. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-18985.
• Agirre, E. et al. (2018) 'LIHLITH : improving communication skills of robots through lifelong learning', ERCIM News, 2018(114), p. 12. Available at: https://ercim-news.ercim.eu/images/stories/EN114/EN114-web.pdf.
• Deriu, J. M. and Cieliebak, M. (2017) 'End-to-end trainable system for enhancing diversity in natural language generation', in End-to-End Natural Language Generation Challenge (E2E NLG), 2017. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-4889.
• Deriu, J. M. and Cieliebak, M. (2017) 'SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering', in Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Association for Computational Linguistics, pp. 334–338. doi: 10.18653/v1/S17-2054.
• Deriu, J. M. et al. (2017) 'Leveraging large amounts of weakly supervised data for multi-language sentiment classification', in Proceedings of the 26th International Conference on World Wide Web. Association for Computing Machinery, pp. 1045–1052. doi: 10.1145/3038912.3052611.
• Cieliebak, M. (2016) 'Optimising Deep Learning for Infinite Applications in Text Analytics', ERCIM News, 107. Available at: 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. and Uzdilli, F. (2016) 'Twitter can help to find adverse drug reactions', ERCIM News, 104.
• Schutzbach, D., Uzdilli, F. and Cieliebak, M. (2015) 'Back to the Future : Time-Travelling-Debugger als Alternative zu klassischen Debuggern', Java Magazin, 2015(11), pp. 18–22.
• Stadelmann, T., Cieliebak, M. and Stockinger, K. (2015) 'Toward automatic data curation for open data', ERCIM News, 2015(100), pp. 32–33. doi: 10.21256/zhaw-3643.
• Cieliebak, M., Dürr, O. and Uzdilli, F. (2014) 'Meta-classifiers easily improve commercial sentiment detection tools', in Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014). Association for Computational Linguistics, pp. 3943–3947.
• Cieliebak, M. (2014) Auswirkungen von Flipped Classroom auf Fachwissen und Kompetenzen von Studierenden. ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
• Dürr, O., Uzdilli, F. and Cieliebak, M. (2014) 'JOINT_FORCES : unite competing sentiment classifiers with random forest', in Proceedings of the International Workshop on Semantic Evaluation (SemEval-2014). Association for Computational Linguistics, pp. 366–369. doi: 10.21256/zhaw-3779.
• Jaggi, M., Uzdilli, F. and Cieliebak, M. (2014) 'Swiss-chocolate : sentiment detection using sparse SVMs and part-of-speech n-grams', in Proceedings of the International Workshop on Semantic Evaluation (SemEval-2014). Association for Computational Linguistics, pp. 601–604. doi: 10.21256/zhaw-3780.
• Cieliebak, M., Dürr, O. and Uzdilli, F. (2013) 'Potential and limitations of commercial sentiment detection tools', in Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013). RWTH Aachen, pp. 47–58. Available at: 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

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