Liebrecht, C., van Miltenburg, E., van Hooijdonk, C., Kunneman, F., Merckens, A., & Niessen, N. (2024).
Hoe halen chatbots de kink uit de kabel? Reparatiestrategieën bij onbegrip in een chatbotgesprek.
Tijdschrift voor Communicatiewetenschap, 52(3), 288-325.
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.
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 (pp. 20-28).
ACM Transactions on Human-Robot Interaction. https://doi.org/10.1145/3648605
Reimann, M.M., Kunneman, F., Oertel, C. and Hindriks, K.V. (2024).
A Survey on Dialogue Management in Human-Robot Interaction.
ACM Transactions on Human-Robot Interaction, 13 (2). 1-22
Martijn, G., Van Hooijdonk, C., Kunneman, F., & Hoeken, H. (2024).
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).
Li, Y., Hindriks, K., & Kunneman, F. (2023).
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).
Reimann, M. M., Oertel, C., Kunneman, F., & Hindriks, K. V. (2023).
Predicting Interaction Quality Aspects Using Level-Based Scores for Conversational Agents.
In: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents (pp. 1-8).
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: A Proof-Of-Concept Study.
Journal of Medical Internet Research.
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. IEEE/ACM.
Liebrecht, C., van Miltenburg, E., van Hooijdonk, C., Kunneman, F., Merckens, A., & Niessen, N. (2024).
"Hallo, Ik ben Anna uw virtuele assistent": Talige kenmerken in customer service chatbots.
DIXIT, 18, 9-12.
Stolwijk, G. E., & Kunneman, F. (2023).
Increasing the Coverage of Clarification Responses for a Cooking Assistant.
In: Følstad, A., et al. (eds.), Chatbot Research and Design: 6th International Workshop, CONVERSATIONS 2022, Lecture Notes in Computer Science, vol 13815. Springer, Cham.
https://doi.org/10.1007/978-3-031-25581-6_11
Kunneman, F., & Hindriks, K. (2022).
SUPPLE: A Dialogue Management Approach Based on Conversation Patterns.
In Conversational AI for Natural Human-Centric Interaction (pp. 203-217). Springer, Singapore.
Kunneman, F., & Hindriks, K. V. (2022).
A Sequence-Based Dialog Management Framework for Co-Regulated Dialog.
In HHAI2022: Augmenting Human Intellect (pp. 143-156). IOS Press.
Chan, J. Z. M., Kunneman, F., Morante, R., 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).
Lauran, N., van de Wijngaert, L., & Kunneman, F. (2021).
Vitamin B: Bad or Benificial? A Social Network Analysis of Tweets on Perceived Risks in the Food and Consumer Product Safety Domain.a>
In Procceedings of the 8th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora (CMC-Corpora 2021) (pp. 54).
Kunneman, F., van Mulken, M. and van den Bosch, A. (2020).
Anticipointment Detection in Event Tweets.
International Journal of Artificial Intelligence Research, 29 (2).
Kunneman, F., Lambooij, M., Wong, A., van den Bosch, A. and Mollema, L. (2020).
Monitoring stance towards vaccination in twitter messages.
BMC Medical Informatics and Decision Making, 20 (33).
Kunneman, F., Castro Ferreira, T., Krahmer, E. & van den Bosch, A. (2019).
Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models.
In Proceedings of the International Conference Recent Advances in Natural Language Processing (pp. 593-601).
Oostdijk, N.H., Lambooij, M.S., Beinema, P., Wong, A., Kunneman, F. & Keizers, P.H. (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)
Lauran, N., Kunneman, F. & Van de Wijngaert, L. (2019).
Connecting social media data and crisis communication theory: a case study on the chicken and the egg.
Journal of Risk Research, 1-19.
Stoop, W., Kunneman, F., van den Bosch, A., & Miller, B. (2019).
Detecting harassment in real-time as conversations develop.
In Proceedings of the Third Workshop on Abusive Language Online (pp. 19-24).
Kunneman, F., Wubben, S., van den Bosch, A., & Krahmer, E. (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).
Beeksma, M., van Gompel, M., Kunneman, F., Onrust, L., Regnerus, B., Vinke, D., Brito, E., Bauckhage, C., Sifa, R.
Detecting and correcting spelling errors in high-quality Dutch Wikipedia text.
Computational Linguistics in the Netherlands Journal, 8, 122-137.
van Lent, L. G., Sungur, H., Kunneman, F., van de Velde, B., & Das, E. (2017).
Too far to care? Measuring public attention and fear for Ebola using Twitter.
Journal of medical Internet research, 19(6).
van Noord, R., Kunneman, F. & van den Bosch, A. (2017)
Predicting civil unrest by categorizing Dutch Twitter events.
Communications in Computer and Information Science, 765. 3-16
Kunneman, F., & Van den Bosch, A. (2016).
Open-domain extraction of future events from Twitter.
Natural Language Engineering, 22(5), 655-686
Hallmann, K., Kunneman, F., Liebrecht, C., van den Bosch, A., & van Mulken, M. (2016).
Sarcastic Soulmates: Intimacy and irony markers in social media messaging.
LiLT (Linguistic Issues in Language Technology), 14.
Kunneman, F., Liebrecht, C., Van Mulken, M., & Van den Bosch, A. (2015).
Signaling sarcasm: From hyperbole to hashtag.
Information Processing & Management, 51(4), 500-509.
Kunneman, F., & Van den Bosch, A. (2015).
Automatically identifying periodic social events from Twitter.
In Proceedings of the International Conference Recent Advances in Natural Language Processing (pp. 320-328).
Kunneman, F., Liebrecht, C., & van den Bosch, A. (2014).
The (un) predictability of emotional hashtags in twitter.
In Proceedings of the 5th Workshop on Language Analysis for Social Media (LASM) (pp. 26-34).
Kunneman, F., & van den Bosch, A. (2014).
Event detection in Twitter: A machine-learning approach based on term pivoting.
In Grootjen, F., Otworowska, M., Kwisthout, J. (ed.), Proceedings of the 26th Benelux Conference on Artificial Intelligence (pp. 65-72).
Kunneman, F. and Hurriyetoglu, A., Oostdijk, N. & van den Bosch, A. (2014)
Timely identification of event start dates from Twitter
Computational Linguistics in the Netherlands Journal, 4, 39-52
Liebrecht, C., Kunneman, F., & van den Bosch, A. (2013).
The perfect solution for detecting sarcasm in tweets #not.
In Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (pp. 29-37).
Hürriyetoglu, A., Kunneman, F., & van den Bosch, A. (2013).
Estimating the time between Twitter messages and future events.
In Proceedings of the 13th Dutch-Belgian Information Retrieval Workshop (pp. 20-23).
Tops, H., van den Bosch, A., & Kunneman, F. (2013).
Predicting time-to-event from Twitter messages.
In Hindriks, K., De Weerdt, M., Van Riemsdijk, B.(ed.), Proceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference.
Kunneman, F., & van den Bosch, A. (2012)
Leveraging Unscheduled Event Prediction through Mining Scheduled Event Tweets.
In Roos, N., Winands, M., Uiterwijk, J.(ed.), Proceedings of the 24th Benelux Conference on Artficial Intelligence (pp. 147-154).
Liebrecht, C., van Hooijdonk, C., Kunneman, F., & van Miltenburg, E. (2021).
"Hallo, Ik ben Anna uw virtuele assistent": Talige kenmerken in customer service chatbots.
DIXIT, 18, 9-12.
Stoop, W., Kunneman, F., van den Bosch, A., & Miller, B. (2021).
Catching Cyberbullies with Neural Networks
The Gradient, 21 February 2021
Kunneman, F. & Van Est, R. (2019).
Voorspellen van gedrag in de GGZ: kansen en valkuilen.
DIXIT, 16, 18-20
Hendrickx, I., Cena, F., Basar, E., Di Caro, L., Kunneman, F., Musi, E., ... & van Waterschoot, J. (2021).
Towards a new generation of personalized intelligent conversational agents.
In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 373-374).
Kunneman, F., Hendrickx, I. & Beeksma, M. (2018).
Computational Linguistics in the Netherlands Journal 8.
Kunneman, F., Iñurrieta, U., Camilleri, J., & Ardanuy, M. (2017).
Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics.