Searchable List of Research Output

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  • Woensdregt, M., Spike, M., de Haan, R., Wareham, T., van Rooij, I., Blokpoel, M. (2021) Why is scaling up models of language evolution hard?.
    In 43rd Annual Meeting of the Cognitive Science Society (CogSci 2021): Comparative Cognition Animal Minds : Vienna, Austria, 26-29 July 2021 (pp 209-215) (Proceedings of the Annual Meeting of the Cognitive Science Society, Vol. 43). Cognitive Science Society.
  • Wolfson, Boris, Acar, E. (2024) Differentiable Inductive Logic Programming for Fraud Detection.
    In Workshop for Explainable AI in Finance 2024, New York
  • Wolter, F., Zakharyaschev, M., de Rijke, M., Wansing, H. (2002) Advances in Modal Logic, Volume 3.
    World Scientific.
  • Wontner, N.J.H. (2023) Views from a peak: Generalisations and descriptive set theory.
    ILLC dissertation series
    Thesis, fully internal | UvA-DARE
  • Wooldridge, M., Endriss, U., Kraus, S., Lang, J. (2013) Incentive Engineering for Boolean Games.
    Artificial Intelligence, Vol. 195 (pp 418-439)
  • Wozny, Phillip, Renting, Bram, Loftin, Robert, Wieners, Claudia, Acar, E. (2023) AI4GCC-Team -- Below Sea Level: Score and Real World Relevance.
    [No source information available]
  • Wu, D., Aycock, S.J.S., Monz, C. (2025) Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation.
    In Christodoulopoulos, C. Chakraborty, T. Rose, C. Peng, V. (Eds.), The 2025 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2025 : November 4-9, 2025 (pp 20424-20440). Association for Computational Linguistics.
  • Wu, D., Meng, Yan, Nachesa, Maya, Aycock, S.J.S., Monz, C. (2025) UvA-MT's Participation in the WMT25 General Translation Shared Task.
    In Haddow, Barry Kocmi, Tom Koehn, Philipp Monz, Christof (Eds.), Tenth Conference on Machine Translation : Proceedings of the Conference: WMT 2025 : November 8-9, 2025 (pp 688-694). Association for Computational Linguistics.
  • Wunsch, G., Mouchart, M., Russo, F. (2015) Les limites de la connaissance en sciences sociales: l'explication mise en cause.
    L'Académie en poche, Vol. 62. Académie royale de Belgique.
    Book | UvA-DARE
  • Wunsch, G., Mouchart, M., Russo, F. (2018) Causal attribution in block-recursive social systems: a structural modeling perspective.
    Methodological Innovations, Vol. 11 (pp 1-11)
  • Wunsch, G., Russo, F., Mouchart, M., Orsi, R. (2022) Time and causality in the social sciences.
    Time & Society, Vol. 31 (pp 177-204)
  • Xia, Zheng Dan, de Meulder, Maartje, Otterspeer, G., Roelofsen, F. (2025) User Acceptance of Augmented Remote Sign Language Interpreting.
    In Adjunct Proceedings of the 25<sup>th</sup> ACM International Conference on Intelligent Virtual Agents: IVA 2025 : 16<sup>th</sup>-19<sup>th</sup> September 2025, Berlin, Germany . ACM.
  • Xiang, Yimei, Cremers, A.M.E. (2017) Mention-some readings of plural-marked questions: Experimental evidence.
    In NELS 47 : Proceedings of the Forty-Seventh Annual Meeting of the North East Linguistic Society. Graduate Linguistics Student Association, Department of Linguistics, University of Massachusetts.
  • Xie, K., Yan, J. (2021) A Logic for Desire Based on Causal Inference.
    In Ghosh, S. Icard, T. (Eds.), Logic, Rationality, and Interaction: 8th International Workshop, LORI 2021, Xi'an, China, October 16-18, 2021 : proceedings (pp 273-287) (Lecture Notes in Computer Science
    FoLLI Publications on Logic, Language and Information, Vol. 13039). Springer.
  • Xie, K. (2020) Where causality, conditionals and epistemology meet: A logical inquiry.
    ILLC dissertation series. Institute for Logic, Language and Computation.
    Thesis, fully internal | UvA-DARE
  • Xing, Y., Fernández, R. (2018) Automatic Evaluation of Neural Personality-based Chatbots.
    In Krahmer, E. Gatt, A. Goudbeek, M. (Eds.), INLG 20018 : The 11th International Natural Language Generation Conference: proceedings of the conference : November 5-8, 2018, Tilburg, The Netherlands (pp 189-194). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/W18-6524 | UvA-DARE
  • Xu, X., Titov, I., Lapata, M. (2023) Compositional Generalization for Data-to-Text Generation.
    In Bouamor, H. Pino, J. Bali, K. (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 9299-9317). Association for Computational Linguistics.
  • Yadav, S., Zhang, Z., Hershcovich, D., Shutova, E. (2025) Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models.
    In Chiruzzo, Luis Ritter, Alan Wang, Lu (Eds.), Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics : Proceedings of the Conference : Findings: NAACL 2025 : April 29-May 4, 2025 (pp 7607–7623). Association for Computational Linguistics.
  • Yagi, Yusuke, Nakamura, T., Mizutani, Kenta (2024) Toward a Semantic Theory of Universal NCIs.
    In Carcassi, F. Johnson, T. Knudstorp, S.B. Domínguez Parrado, S. Rivas Robledo, P. Sbardolini, G. (Eds.), Proceedings of the 24th Amsterdam Colloquium (pp 408-414). ILLC, University of Amsterdam.
  • Yamashita, M., Osawa, C., Suzuki, M., Guo, X., Sadakata, M., Otsuka, Y., Asano, K., Abe, N., Sekiyama, K. (2022) Neural Advantages of Older Musicians Involve the Cerebellum: Implications for Healthy Aging Through Lifelong Musical Instrument Training.
    Frontiers in Human Neuroscience, Vol. 15

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