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Institute for Logic, Language and Computation

Searchable List of Research Output

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  • Dam, T.A., Hoogendoorn, M., Elbers, P.W.G., Fornasa, M., de Neree tot Babberich, M., Cina, G. (2022) Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.
    Annals of intensive care, Vol. 12
  • Damgård, I., Fehr, S., Salvail, L., Schaffner, C. (2014) Secure identification and QKD in the bounded-quantum-storage model.
    Theoretical Computer Science, Vol. 560 (pp 12-26)
  • Damsma, A., Bazin, P.L.E.A., Kaplan, Thomas, Honing, H., Bouwer, F. (2023) Modelling Flexible Rhythm Prediction in Continuous Time.
    Abstract | UvA-DARE
  • Damsma, A., Bouwer, F., Kemp, S.A., Grahn, Jessica, Honing, H., Bazin, P.L.E.A. (2023) Exploring Individual Differences in Structural Connectivity Underlying Rhythmic Abilities.
    Abstract | UvA-DARE
  • Damsma, A., de Roo, Mitchell, Doelling, Keith, Bazin, P.L.E.A., Bouwer, F. (2022) Tempo-Dependent Changes in Neural Responses to Rhythm as a Marker of Entrainment.
    Abstract | UvA-DARE
  • Dankers, V., Bilgin, A., Fernández, R. (2017) Modelling Word Associations with Word Embeddings for a Guesser Agent in the Taboo City Challenge Competition.
    In Proceedings of the ESSENCE Taboo Challenge Competition: An IJCAI Workshop. Melbourne, 21 August 2017 : IJCAI-17, Melbourne (pp 8-16). ESSENCE.
  • Dankers, V., Bilgin, A., Fernández, R. (2017) Modelling Word Associations and Interactiveness for Describer Agents in Word-Guessing Games: A Case Study for the Location Taboo Game.
    In Verheij, B. Wiering, M. (Eds.), BNAIC 2017: Benelux Conference on Artificial Intelligence: Preproceedings of the 29th Benelux Conference on Artificial Intelligence, November 8–9, 2017 in Groningen, The Netherlands (pp 408-409) (BNAIC, Vol. 29). University of Groningen.
  • Dankers, V., Bilgin, A., Fernández, R. (2017) Modelling the Generation and Retrieval of Word Associations with Word Embeddings: A Case Study for a Guesser Agent in the Location Taboo Game.
    In Verheij, B. Wiering, M. (Eds.), BNAIC 2017: Benelux Conference on Artificial Intelligence: Preproceedings of the 29th Benelux Conference on Artificial Intelligence, November 8–9, 2017 in Groningen, The Netherlands (pp 401-402) (BNAIC, Vol. 29). University of Groningen.
  • Dankers, V., Lucas, C.G., Titov, I. (2022) Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation.
    In Muresan, S. Nakov, P. Villavicencio, A. (Eds.), The 60th Annual Meeting of the Association for Computational Linguistics: ACL 2022 : proceedings of the conference : May 22-27, 2022 (pp 3608-3626). Association for Computational Linguistics.
  • Dankers, V., Malhotra, K., Kudva, G., Medentsiy, V., Shutova, E. (2020) Being neighbourly: Neural metaphor identification in discourse.
    In Klebanov, B.B. Shutova, E. Lichtenstein, P. Muresan, S. Wee, C. Feldman, A. Ghosh, D. (Eds.), Figurative Language Processing : Proceedings of the Second Workshop: ACL 2020 : July 9, 2020 (pp 227-234). Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/P17 | UvA-DARE
  • Dankers, V., Rei, M., Lewis, M., Shutova, E. (2019) Modelling the interplay of metaphor and emotion through multitask learning.
    In Inui, K. Jiang, J. Ng, V. Wan, X. (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp 2218-2229). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/D19-1227 | UvA-DARE
  • Dankers, V., Titov, I., Hupkes, D. (2023) Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation.
    In Bouamor, H. Pino, J. Bali, K. (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp 8323-8343). Association for Computational Linguistics.
  • Dankers, V., Titov, I. (2022) Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality.
    In Goldberg, Y. Kozareva, Z. Zhang, Y. (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2022: Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, United Arab Emirates, 7-11 December 2022 (pp 4361–4378). Association for Computational Linguistics.
  • Daquino, M., Peroni, S., Shotton, D., Colavizza, G., Ghavimi, B., Lauscher, A., Mayr, P., Romanello, M., Zumstein, P. (2020) The OpenCitations Data Model.
    In Pan, J.Z. Tamma, V. d’Amato, C. Janowicz, K. Fu, B. Polleres, A. Seneviratne, O. Kagal, L. (Eds.), The Semantic Web – ISWC 2020: 19th International Semantic Web Conference Athens, Greece, November 2–6, 2020 : Proceedings (pp 447-463) (Lecture Notes in Computer Science, Vol. 12507). Springer.
  • Das, A., Girlando, M. (2023) Cyclic Hypersequent System for Transitive Closure Logic.
    Journal of Automated Reasoning, Vol. 67
  • Dastani, M., Grossi, D., Meyer, J.-J.C., Tinnemeier, N. (2009) Normative multi-agent programs and their logics.
    Dagstuhl Seminar Proceedings, Vol. 09121
  • Dastani, M., Grossi, D., Meyer, J.-J.C., Tinnemeier, N. (2009) Normative multi-agent programs and their logics.
    In Meyer, J.-J.C. Broersen, J. (Eds.), Knowledge Representation for Agents and Multi-Agent Systems: First International Workshop, KRAMAS 2008, Sydney, Australia, September 17, 2008 : revised selected papers (pp 16-31) (Lecture Notes in Computer Science
    Lecture Notes in Artificial Intelligence, Vol. 5605). Springer.
  • Dastani, M., Scha, R.J.H. (2003) Languages for gestalts of line patterns.
    Journal of Mathematical Psychology, Vol. 47 (pp 429-449)
  • Davidson, T.R., Falorsi, L., De Cao, N., Kipf, T.N., Tomczak, J.M. (2018) Hyperspherical Variational Auto-Encoders.
    In Globerson, A. Silva, R. (Eds.), Uncertainty in Artificial Intelligence: proceedings of the Thirty-Fourth Concerence (2018) : August 6-10, 2018, Monterey, California, USA (pp 856-865). AUAI Press.
  • Davis, C., Bulat, L., Vero, A., Shutova, E. (2018) Modelling Visual Properties and Visual Context in Multimodal Semantics.
    In Visually Grounded Interaction and Language (ViGIL): NeurIPS 2018 Workshop, Montreal, Canada. Accepted Papers . NIPS.
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