Searchable List of Research Output

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  • 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
  • Yan, J. (2023) Monotonicity in intensional contexts: Weakening and pragmatic effects under modals and attitudes.
    ILLC Dissertation Series
    Thesis, fully internal | UvA-DARE
  • Yang, Carl, Roy, Senjuti Basu, Li, Jessie, Kamps, J., Shin, Kijung, Hooi, Bryan, He, Lifang, Li, Yong, McAuley, Julian, Song, Yang, Kim, Sungchul, Li, Jundong, Li, Cheng-Te (2025) CIKM 2025 Program Chairs' Welcome.
    In CIKM'25: Proceedings of the 34th ACM International Conference on Information and Knowledge Management : November 10-14, 2025, Seoul, Republic of Korea (pp v). Association for Computing Machinery.
    Foreword/postscript | https://doi.org/10.1145/3746252 | UvA-DARE
  • Yang, F., Väänänen, J. (2016) Propositional Logics of Dependence.
    Annals of Pure and Applied Logic, Vol. 167 (pp 557–589)
  • Yang, F., Väänänen, J. (2017) Propositional team logics.
    Annals of Pure and Applied Logic, Vol. 168 (pp 1406-1441)
  • Yang, P., Colavizza, G. (2024) Polarization and reliability of news sources in Wikipedia: Online Information Review.
    Online information review, Vol. 48 (pp 908-925)
  • Yang, P., Shoaib, A., West, R., Colavizza, G. (2024) Open access improves the dissemination of science: insights from Wikipedia.
    Scientometrics, Vol. 129 (pp 7083-7106)
  • Yang, P. (2026) Bringing science to the public: The role of Wikipedia in scientific communication.
    ILLC Dissertation Series
    Thesis, fully internal | UvA-DARE
  • Ye, Quin, Bloem, J. (2026) Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translation.
    In Proceedings of the fourth international workshop on the role of resources in the age of large language models @ LREC 2026 (RESOURCEFUL-2026). European Language Resources Association.
    Conference contribution | UvA-DARE
  • Yu, J., Amores, J., Sebe, N., Tian, Q. (2006) Toward Robust Distance Metric Analysis for Similarity Estimation.
    In Schmid, C. Soatto, S. Tomasi, C. (Eds.), IEEE Computer Vision and Pattern Recognition (CVPR)
    Conference contribution | UvA-DARE
  • Yu, J., Amores, J., Sebe, N., Tian, Q. (2006) A New Study on Distance Metrics as Similarity Measurement.
    In IEEE International Conference on Multimedia and Expo (ICME)
    Conference contribution | UvA-DARE
  • Yu, J., Amores, J., Sebe, N., Tian, Q. (2006) Ranking Metrics and Evaluation Measures.
    In Advances in Imaging and Electron Physics (pp 291) (144). Elsevier.
    Chapter | UvA-DARE
  • Zadorozhny, K., Thoral, P.J., Elbers, P., Cina, G. (2023) Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation.
    In Shaban-Nejad, A. Michalowski, M. Bianco, S. (Eds.), Multimodal AI in Healthcare: A Paradigm Shift in Health Intelligence (pp 137-153) (Studies in Computational Intelligence, Vol. 1060). Springer.
  • Zajenkowski, M., Styla, R., Szymanik, J. (2011) A computational approach to quantifiers as an explanation for some language impairments in schizophrenia.
    Journal of Communication Disorder, Vol. 44 (pp 595-600)
  • Zajenkowski, M., Szymanik, J., Garraffa, M. (2014) Working Memory Mechanism in Proportional Quantifier Verification.
    Journal of Psycholinguistic Research, Vol. 43 (pp 839-853)
  • Zajenkowski, M., Szymanik, J. (2013) MOST intelligent people are accurate and SOME fast people are intelligent: Intelligence, working memory, and semantic processing of quantifiers from a computational perspective.
    Intelligence, Vol. 41 (pp 456-466)
  • Zakharyaschev, M., Segerberg, K., de Rijke, M., Wansing, H. (2001) Advances in Modal Logic, Vol. 2.
    CSLI lecture notes. CSLI Publications.

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