Publications
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. https://doi.org/10.1109/RO-MAN60168.2024.10731262
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. https://doi.org/10.1145/3648536.3648539
https://research-portal.uu.nl/ws/files/240726589/3648536.3648539.pdf
https://research-portal.uu.nl/ws/files/240726589/3648536.3648539.pdf
Reimann, M. M., Kunneman, F. A., Oertel, C., & Hindriks, K. V. (2024). A Survey on Dialogue Management in Human-robot Interaction. ACM Transactions on Human-Robot Interaction, 13(2), Article 22. https://doi.org/10.1145/3648605
https://research-portal.uu.nl/ws/files/239364965/3648605.pdf
https://research-portal.uu.nl/ws/files/239364965/3648605.pdf
Liebrecht, C., van Miltenburg, E., van Hooijdonk, C., Kunneman, F., Merckens, A., & Niessen, N. (2024). Reparatiestrategieën bij onbegrip in een chatbotgesprek. Tijdschrift voor Communicatiewetenschap, 52(3), 288-325. https://doi.org/10.5117/tCW2024.3.003.LiEB
https://research-portal.uu.nl/ws/files/234165767/TCW2024.3.003.LIEB.pdf
https://research-portal.uu.nl/ws/files/234165767/TCW2024.3.003.LIEB.pdf
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. https://doi.org/10.51751/dujal16248
https://dspace.library.uu.nl/bitstream/handle/1874/451592/DuJAL16248_text.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/451592/DuJAL16248_text.pdf?sequence=1
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. https://doi.org/10.1109/RO-MAN57019.2023.10309547
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. https://doi.org/10.1007/978-3-031-25581-6_11
https://dspace.library.uu.nl/bitstream/handle/1874/436916/978-3-031-25581-6_11.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/436916/978-3-031-25581-6_11.pdf?sequence=1
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. https://doi.org/10.2196/44461
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. https://doi.org/10.1145/3570945.3607332
Martijn, G., van Hooijdonk, C., Kunneman, F., & Hoeken, H. (2023). Reconfiguring The Customer Service Domain: Perspectives Of Managers, Conversational Designers, And Human Agents On Human-Chatbot Collaboration. International Journal of Innovation and Technology Management, 21(4). https://doi.org/10.1142/S0219877024500287
https://research-portal.uu.nl/ws/files/238953454/Publication.pdf
https://research-portal.uu.nl/ws/files/238953454/Publication.pdf
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) https://doi.org/10.3233/FAIA220195
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. https://doi.org/10.1007/978-981-19-5538-9_14
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. https://doi.org/10.1145/3450614.3461453
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. https://doi.org/10.1186/s12911-020-1046-y
Kunneman, F. A., Mulken, M. V., & Bosch, A. V. D. (2020). Anticipointment Detection in Event Tweets. International Journal on Artificial Intelligence Tools, 29(2). https://doi.org/10.1142/S0218213020400011
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. https://doi.org/10.1080/13669877.2019.1628097
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. https://doi.org/10.1371/journal.pone.0215858
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 https://doi.org/10.26615/978-954-452-056-4_070
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. https://doi.org/10.18653/v1/W19-3503
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). https://doi.org/10.2196/jmir.7219
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. https://doi.org/10.1007/978-3-319-67468-1_1
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. https://doi.org/10.1017/S1351324916000036
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. https://doi.org/10.1016/j.ipm.2014.07.006
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. https://doi.org/10.3115/V1/W14-1304
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)