uva.nl

Institute for Logic, Language and Computation

Searchable List of Research Output

Filter Publications
  • Dwivedi, M., Kamps, J. (2025) Effectiveness of In-Context Learning for Due Diligence: A Reproducibility Study of Identifying Passages for Due Diligence.
    Information Retrieval Research Journal, Vol. 1 (pp 221-245)
  • Dzamonja, M., Väänänen, J. (2011) Chain models, trees of singular cardinality and dynamic EF-games.
    Journal of Mathematical Logic, Vol. 11 (pp 61-85)
  • Égré, P., Marty, P., Renne, B. (2014) Knowledge, Justification, and Reason-Based Belief.
    ArXiv.
  • Eikema, B., Aziz, W. (2019) Auto-Encoding Variational Neural Machine Translation.
    In Augenstein, I. Gella, S. Ruder, S. Kann, K. Welbl, J. Conneau, A. Ren, X. Rei, M. (Eds.), The 4th Workshop on Representation Learning for NLP (RepL4NLP-2019): ACL 2019 : proceedings of the workshop : August 2, 2019, Florence, Italy (pp 124–141). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/W19-4315 | UvA-DARE
  • Eikema, B., Aziz, W. (2020) Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation.
    In Scott, D. Bel, N. Zong, C. (Eds.), The 28th International Conference on Computational Linguistics: COLING 2020 : Proceedings of the Conference : December 8-13, 2020, Barcelona, Spain (Online) (pp 4506–4520). International Committee on Computational Linguistics.
  • Eikema, B., Aziz, W. (2022) Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation.
    In Goldberg, Y. Kozareva, Z. Zhang, Y. (Eds.), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: December 7-11, 2022, Abu Dhabi, United Arab Emirates (pp 10978-10993). Association for Computational Linguistics.
  • Eikema, B., Kruszewski, G., Dance, C., Elsahar, H., Dymetman, M. (2022) An Approximate Sampler for Energy-based Models with Divergence Diagnostics.
    Transactions on Machine Learning Research, Vol. 2022
  • Eikema, B. (2024) The Effect of Generalisation on the Inadequacy of the Mode.
    Paper | UvA-DARE
  • Eikema, B. (2026) A sampling-based exploration of neural text generation models.
    IILC Dissertation Series
    Thesis, fully internal | UvA-DARE
  • el Haji, A., Munneke, G.J., van der Molen, M. (2015) Explaining the Moral Dissociation between Theft and Piracy.
    Paper | UvA-DARE
  • Eldar, L., Ozols, M., Thompson, K. (2020) The need for structure in quantum LDPC codes.
    IEEE Transactions on Information Theory, Vol. 66 (pp 1460-1473)
  • Elkind, E., Endriss, U., Lang, J. (2011) Proceedings of the IJCAI-2011 Workshop on Social Choice and Artificial Intelligence, Barcelona, 16 July 2011.
    ILLC prepublication.
  • Elsenaar, A., Scha, R.J.H. (2002) Electric body manipulation as performance art: A historical perspective.
    Leonardo Music Journal, Vol. 12 (pp 17-28)
  • Emelin, D., Titov, I., Sennrich, R. (2019) Widening the representation bottleneck in neural machine translation with lexical shortcuts.
    In Bojar, O. Chatterjee, R. Federmann, C. Fishel, M. Graham, Y. Haddow, B. Huck, M. Jimeno Yepes, A. Koehn, P. Martins, A. Monz, C. Negri, M. Névéol, A. Neves, M. Post, M. Turchi, M. Verspoor, K. (Eds.), Fourth Conference on Machine Translation - Proceedings of the Conference: WMT 2019 (pp 102-115). Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/W19-5211 | UvA-DARE
  • Emelin, D., Titov, I., Sennrich, R. (2020) Detecting word sense disambiguation biases in machine translation for model-agnostic adversarial attacks.
    In Webber, B. Cohn, T. He, Y. Liu, Y. (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp 7635-7653). The Association for Computational Linguistics.
  • Endriss, U., de Haan, R., Lang, J., Slavkovik, M. (2020) The Complexity Landscape of Outcome Determination in Judgment Aggregation.
    Journal of Artificial Intelligence Research, Vol. 69 (pp 687–731)
  • Endriss, U., de Haan, R., Novaro, A., Proff, Iris, Rey, S.J. (2021) When residents design their city.
    ILLC, UvA.
  • Endriss, U., de Haan, R., Szeider, S. (2015) Parameterized Complexity Results for Agenda Safety in Judgment Aggregation.
    In AAMAS '15: proceedings of the 2015 International Conference on Autonomous Agents & Multiagent Systems : May, 4-8, 2015, Istanbul, Turkey (pp 127-136). International Foundation for Autonomous Agents and Multiagent Systems.
  • Endriss, U., de Haan, R. (2015) Complexity of the Winner Determination Problem in Judgment Aggregation: Kemeny, Slater, Tideman, Young.
    In AAMAS '15: proceedings of the 2015 International Conference on Autonomous Agents & Multiagent Systems : May, 4-8, 2015, Istanbul, Turkey (pp 117-125). International Foundation for Autonomous Agents and Multiagent Systems.
  • Endriss, U., Fernández, R. (2013) Collective Annotation of Linguistic Resources: Basic Principles and a Formal Model.
    In Fung, P. Poesio, M. (Eds.), ACL 2013 : 51st Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : August 4-9, 2013, Sofia, Bulgaria (pp 539-549). Association for Computational Linguistics.
    Conference contribution | http://aclweb.org/anthology/P13-1053 | UvA-DARE
1 ... 108 109 110 111 112 113 114 115 116 ... 337

The data of this list is taken from the Pure database. If you find output is missing from the list, please follow the previous link to find out how to submit to Pure. In case there are mistakes in PURE, please contact