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Stap, D., & Araabi, A. (2023). ChatGPT is not a good indigenous translator. In M. Mager, A. Ebrahimi, A. Oncevay, E. Rice, S. Rijhwani, A. Palmer, & K. Kann (Eds.), Third Workshop on Natural Language Processing for Indigenous Languages of the Americas: Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP) : July 14, 2023 (pp. 163–167). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.americasnlp-1.17[details]
Stap, D., & Monz, C. (2023). Multilingual k-Nearest-Neighbor Machine Translation. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp. 9200–9208). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.571[details]
Stap, D., Niculae, V., & Monz, C. (2023). Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing : Findings of the Association for Computational Linguistics: EMNLP 2023: December 6-10, 2023 (pp. 14973–14987). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.998[details]
Wu, D., Tan, S., Stap, D., Araabi, A., & Monz, C. (2023). UvA-MT’s Participation in the WMT 2023 General Translation Shared Task. In P. Koehn, B. Haddow, T. Kocmi, & C. Monz (Eds.), Eighth Conference on Machine Translation: WMT 2023 : December 6-7, 2023 (pp. 175–180). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.wmt-1.17[details]
Xezonaki, D., Khalil, T., Stap, D., & Denis, B. (2023). Improving Domain Robustness in Neural Machine Translation with Fused Topic Knowledge Embeddings. In MTSummit (pp. 209–221). Asia-Pacific Assocation for Machine Translation. https://aclanthology.org/2023.mtsummit-research.18/
2020
Stap, D., Bleeker, M., Ibrahimi, S., & ter Hoeve, M. (2020). Conditional image generation and manipulation for user-specified content. Paper presented at AI for Content Creation Workshop, Seattle, Washington, United States. https://doi.org/10.48550/arXiv.2005.04909[details]
Stap, D., Bredeweg, B., & Brouwer, N. (2018). Predictive power of online learner behaviour data: a learning analytics case study. Abstract from Annual Learning & Student Analytics Conference, Amsterdam, Netherlands.
2017
Stap, D., Bredeweg, B., & Brouwer, N. (2017). Gamification for Learning by Modelling in Interactive Learning Environments. 415-416. Paper presented at The 29th Benelux Conference on Artificial Intelligence, Groningen, Netherlands. http://bnaic2017.ai.rug.nl/preproceedings.pdf[details]
Stap, D., Bredeweg, B., & Brouwer, N. (2017). Gamification for learning by modeling in interactive learning environments. Abstract from Annual Learning & Student Analytics Conference, Amsterdam, Netherlands.
Talk / presentation
Stap, D. (speaker), Bredeweg, B. (speaker) & Brouwer, N. (speaker) (22-10-2018). Predictive power of online learner behaviour data, Annual Learning & Student Analytics Conference, Amsterdam.
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