Publications
2025
Scholarly publications
Reimann, M. M., Kunneman, F. A., Oertel, C., & Hindriks, K. V. (2025). Transparent Conversational Agents: The Impact of Capability Communication on User Behavior and Mental Model Alignment. In CUI 2025 - Proceedings of the 2025 ACM Conference on Conversational User Interfaces Article 48 (CUI 2025 - Proceedings of the 2025 ACM Conference on Conversational User Interfaces). Association for Computing Machinery. [DOI] [Portal]
Olson, L., Anna-Lena Fischer, R., Kunneman, F., & Guzmán, E. (2025). Who Speaks for Ethics? How Demographics Shape Ethical Advocacy in Software Development. In ACMF AccT 2025 - Proceedings of the 2025 ACM Conference on Fairness, Accountability,and Transparency (pp. 2847-2862). (ACMF AccT 2025 - Proceedings of the 2025 ACM Conference on Fairness, Accountability,and Transparency). Association for Computing Machinery. [DOI] [Portal]
Reimann, M. M., Hindriks, K. V., Kunneman, F. A., Oertel, C., Skantze, G., & Leite, I. (2025). What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction (pp. 708-716). (ACM/IEEE International Conference on Human-Robot Interaction). IEEE. [DOI]
Braggaar, A., Kunneman, F., & van Miltenburg, E. (2025). Analyzing Patterns of Conversational Breakdown in Human-Chatbot Customer Service Conversations. In A. Følstad, S. Papadopoulos, T. Araujo, E. L.-C. Law, E. Luger, S. Hobert, & P. B. Brandtzaeg (Eds.), Chatbots and Human-Centered AI - 8th International Workshop, CONVERSATIONS 2024, Revised Selected Papers (pp. 3-22). (Lecture Notes in Computer Science; Vol. 15545 LNCS). Springer. [DOI] [Portal]
2024
Scholarly publications
Lösch, L., Syurina, E., Kunneman, F., Liekens, H., Doughty, T., Stein, M. L., Timen, A., & Zuiderent-Jerak, T. (2024). Incorporating Stakeholders’ Experiences in Guideline Development Through Natural Language Processing (NLP) Analysis – A Practical Guide. Athena Institute, Vrije Universiteit Amsterdam.
Li, Y., Kunneman, F. A., & Hindriks, K. V. (2024). A Near-Real-Time Processing Ego Speech Filtering Pipeline Designed for Speech Interruption During Human-Robot Interaction. In 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024 (pp. 1370-1377). (IEEE International Workshop on Robot and Human Communication, RO-MAN). IEEE. [DOI] [Portal]
Li, Y., Hindriks, K., & Kunneman, F. (2024). Single-Channel Robot Ego-Speech Filtering during Human-Robot Interaction. In Proceedings of the 2024 International Symposium on Technological Advances in Human-Robot Interaction, TAHRI 2024 (pp. 20-28). (ACM International Conference Proceeding Series). Association for Computing Machinery. [DOI] [Portal]
van Enschot, R., Spooren, W., van den Bosch, A., Burgers, C., Degand, L., Evers-Vermeul, J., Kunneman, F., Liebrecht, C., Linders, Y., & Maes, A. (2024). Taming our wild data: On intercoder reliability in discourse research. Dutch Journal of Applied Linguistics, 13, 1-24. [DOI] [Repository]
2023
Scholarly publications
Li, Y., Hindriks, K. V., & Kunneman, F. (2023). A Semi-Real-Time Method for Social Robots to Detect and Locate Overlapping Speech Events. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 2086-2093). Article 10309547 IEEE. [DOI]
Olson, L., Ortega, E. G., & Kunneman, F. (2023). Along the Margins: Marginalised Communities' Ethical Concerns about Social Platforms. In 45th International Conference on Software Engineering
Stolwijk, G. E. M., & Kunneman, F. (2023). Increasing the Coverage of Clarification Responses for a Cooking Assistant. In Chatbot Research and Design (pp. 171-189). (Lecture Notes in Computer Science; Vol. 13815). Springer. [DOI] [Repository]
Lösch, L., Zuiderent-Jerak, T., Kunneman, F., Syurina, E., Bongers, M., Stein, M. L., Chan, M., Willems, W., & Timen, A. (2023). Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study. Journal of Medical Internet Research. [DOI]
Reimann, M., Oertel, C., Kunneman, F., & Hindriks, K. (2023). Predicting Interaction Quality Aspects Using Level-Based Scores for Conversational Agents. In IVA '23: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents (pp. 1-8). Association for Computing Machinery. [DOI]
2022
Scholarly publications
Kunneman, F., & Hindriks, K. V. (2022). A Sequence-Based Dialog Management Framework for Co-Regulated Dialog. In HHAI2022: Augmenting Human Intellect (pp. 143-156) [DOI]
Chan, J.-Z. M., Kunneman, F., Vallejo, R. M., Lösch, L., & Zuiderent-Jerak, T. (2022). Leveraging Social Media as a Source for Clinical Guidelines: A Demarcation of Experiential Knowledge. In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task (pp. 203-208). Association for Computational Linguistics. https://aclanthology.org/2022.smm4h-1.51
Kunneman, F., & Hindriks, K. V. (2022). SUPPLE: A Dialogue Management Approach Based on Conversation Patterns. In Conversational AI for Natural Human-Centric Interaction (pp. 203-217). Springer. [DOI]
2021
Scholarly publications
Hendrickx, I., Cena, F., Basar, E., Caro, L. D., Kunneman, F., Musi, E., Musto, C., Rapp, A., & Waterschoot, J. V. (2021). Towards a New generation of Personalized Intelligent Conversational Agents. In UMAP '21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 373–374). Association for Computing Machinery. [DOI]
2020
Scholarly publications
Kunneman, F., Lambooij, M., Wong, A., Bosch, A. V. D., & Mollema, L. (2020). Monitoring stance towards vaccination in twitter messages. BMC Medical Informatics and Decision Making, 20, Article 33. [DOI]
Kunneman, F. A., Mulken, M. V., & Bosch, A. V. D. (2020). Anticipointment Detection in Event Tweets. International Journal on Artificial Intelligence Tools, 29(2). [DOI]
2019
Scholarly publications
Lauran, N., Kunneman, F., & Wijngaert, L. V. D. (2019). Connecting social media data and crisis communication theory: a case study on the chicken and the egg. Journal of Risk Research, 23(10), 1259-1277. [DOI]
Oostdijk, N. H. J., Lambooij, M. S., Beinema, P., Wong, A., Kunneman, F., & Keizers, P. H. J. (2019). Fora fuelling the discovery of fortified dietary supplements: An exploratory study directed at monitoring the internet for contaminated food supplements based on the reported effects of their users. PLoS One, 14(5), Article e0215858. [DOI]
Kunneman, F., Ferreira, T. C., Krahmer, E., & Bosch, A. V. D. (2019). Question similarity in community question answering: A systematic exploration of preprocessing methods and models. In International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings [DOI]
Stoop, W., Kunneman, F., Bosch, A. V. D., & Miller, B. (2019). Detecting harassment in real-time as conversations develop. In Proceedings of the Third Workshop on Abusive Language Online (pp. 19–24). Association for Computational Linguistics. [DOI]
2018
Scholarly publications
Beeksma, M., Gompel, M. V., Kunneman, F., Onrust, L., Regnerus, B., Vinke, D., Brito, E., Bauckhage, C., & Sifa, R. (2018). Detecting and correcting spelling errors in high-quality Dutch Wikipedia text. Computational Linguistics in the Netherlands Journal, 8, 122-137. https://clinjournal.org/clinj/article/view/83
Kunneman, F., Wubben, S., Krahmer, E., & Bosch, A. V. D. (2018). Aspect-based summarization of pros and cons in unstructured product reviews. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 2219–2229). Association for Computational Linguistics. https://aclanthology.org/C18-1188/
2017
Scholarly publications
Lent, L. G. G. V., Sungur, H., Kunneman, F., Velde, B. V. D., & Das, E. (2017). Too far to care? measuring public attention and fear for ebola using twitter. Journal of Medical Internet Research, 19(6). [DOI]
Hendrickx, I., Onrust, L., Kunneman, F., Hürriyetoglu, A., Stoop, W., & Bosch, A. V. D. (2017). Unraveling reported dreams with text analytics. Digital Humanities Quarterly, 11(4). https://www.digitalhumanities.org/dhq/vol/11/4/000342/000342.html
Noord, R. V., Kunneman, F. A., & Bosch, A. V. D. (2017). Predicting Civil Unrest by Categorizing Dutch Twitter Events. In T. Bosse, & B. Bredeweg (Eds.), BNAIC 2016: Artificial Intelligence: 28th Benelux Conference on Artificial Intelligence, Amsterdam, The Netherlands, November 10-11, 2016, Revised Selected Papers (1 ed., pp. 3-16). (Communications in Computer and Information Science; Vol. 765). Springer. [DOI]
2016
Scholarly publications
Kunneman, F., & Bosch, A. V. D. (2016). Open-domain extraction of future events from Twitter. Natural Language Engineering, 22(5), 655-686. [DOI]
2015
Scholarly publications
Kunneman, F., & Bosch, A. V. D. (2015). Automatically identifying periodic social events from twitter. International Conference Recent Advances in Natural Language Processing, RANLP, 320-328. https://aclanthology.org/R15-1043
Kunneman, F., Liebrecht, C., Mulken, M. V., & Bosch, A. V. D. (2015). Signaling sarcasm: From hyperbole to hashtag. Information Processing & Management, 51(4), 500-509. [DOI]
2014
Scholarly publications
Kunneman, F., Liebrecht, C., & van den Bosch, A. (2014). The (Un)Predictability of Emotional Hashtags in Twitter. In Proceedings of the Workshop on Language Analysis for Social Media (LASM) (pp. 26–34). Association for Computational Linguistics. [DOI]
Kunneman, F., & Bosch, A. V. D. (2014). Event detection in Twitter: A machine-learning approach based on term pivoting. Belgian/Netherlands Artificial Intelligence Conference, 65-72.
Kunneman, F., Hürriyetoʇlu, A., Oostdijk, N., & Bosch, A. V. D. (2014). Timely identification of event start dates from Twitter. Computational Linguistics in the Netherlands Journal, 4, 39-52. https://clinjournal.org/clinj/article/view/39
2013
Scholarly publications
Tops, H., Bosch, A. V. D., & Kunneman, F. (2013). Predicting time-to-event from Twitter messages. In BNAIC 2013
Hürriyetoʇlu, A., Kunneman, F., & Bosch, A. V. D. (2013). Estimating the time between twitter messages and future events. In 13th Dutch-Belgian Workshop on Information Retrieval, DIR 2013
2012
Scholarly publications
Kunneman, F. A., & van den Bosch, A. (2012). Leveraging unscheduled event prediction through mining scheduled event tweets. In Proceedings of the 24th Benelux Conference on Artficial Intelligence (pp. 147-154)