Anouck Braggaar MA

Belz, A., Thomson, C., Reiter, E., Abercrombie, G., Alonso-Moral, J. M., Arvan, M., Braggaar, A., Cieliebak, M., Clark, E., van Deemter, K., Dinkar, T., Dušek, O., Eger, S., Fang, Q., Gao, M., Gatt, A., Gkatzia, D., González-Corbelle, J., Hovy, D., ... Yang, D. (2023). Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. In S. Tafreshi, A. Akula, J. Sedoc, A. Drozd, A. Rogers, & A. Rumshisky (Eds.), The Fourth Workshop on Insights from Negative Results in NLP (pp. 1-10). Association for Computational Linguistics.

Braggaar, A. (2023). Breakdowns and Repairs. Detecting Patterns that Lead to Breakdowns in Customer Service Messages.. 26-29. Poster session presented at Young Researchers' Roundtable on Spoken Dialogue Systems, Prague. https://aclanthology.org/2023.yrrsds-1.9.pdf

Braggaar, A., Verhagen, J., Martijn, G., & Liebrecht, C. (2023). Conversational repair strategies to cope with errors and breakdowns in customer service chatbot conversations. Paper presented at Conversations, Oslo, Norway.

van Miltenburg, E., Braggaar, A., Braun, N., Damen, D., Goudbeek, M., van der Lee, C., Tomas, F., & Krahmer, E. (2023). How reproducible is best-worst scaling for human evaluation? A reproduction of `Data-to-text Generation with Macro Planning'. In A. Belz, M. Popović, E. Reiter, C. Thomson, & J. Sedoc (Eds.), Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems (pp. 75-88). Incoma Ltd., Shoumen, Bulgaria. https://aclanthology.org/2023.humeval-1.7

Wit, J. D., & Braggaar, A. (2023). Tilbot: A Visual Design Platform to Facilitate Open Science Research into Conversational User Interfaces. In CUI '23: Proceedings of the 5th International Conference on Conversational User Interfaces (pp. 1–5). Article 55 ACM.