Searchable List of Research Output

Filter Publications
  • Ginzburg, J., Fernández, R. (2010) Computational models of dialogue.
    In Clark, A. Fox, C. Lappin, S. (Eds.), The handbook of computational linguistics and natural language processing (pp 429-481) (Blackwell handbooks in linguistics). Wiley-Blackwell.
  • Gionvannucci, A., Cerquides, J., Endriss, U., Rodríguez-Aguilar, J.A. (2010) A graphical formalism for mixed multi-unit combinatorial auctions.
    Autonomous Agents and Multi-Agent Systems, Vol. 20 (pp 342-368)
  • Giovannucci, A., Cerquides, J., Endriss, U., Vinyals, M., Rodriguez, J.A., Rosell, B. (2009) A mixed multi-unit combinatorial auctions test suite.
    In Decker, K.S. Sichman, J.S. Sierra, C. Castelfranchi, C. (Eds.), AAMAS 2009: the 8th International Conference on Autonomous Agents and Multiagent Systems: May 10-15, 2009, Budapest, Hungary: proceedings. - Volume 2 (pp 1389-1390). IFAAMAS.
  • Giovannucci, A., Rodríguez-Aguilar, J.A., Cerquides, J., Endriss, U. (2007) Winner Determination for Mixed Multi-unit Combinatorial Auctions via Petri Nets.
    In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2007) (pp 1-8). ACM Press.
    Conference contribution | UvA-DARE
  • Giovannucci, A., Rodríguez-Aguilar, J.A., Vinyals, M., Cerquides, J., Endriss, U. (2007) Mixed Multi-unit Combinatorial Auctions for Supply Chain Management.
    SIGecom Exchanges, Vol. 7 (pp 58-60)
    Article | UvA-DARE
  • Girard, P. (2008) Modal Logic for Belief and Preference Change.
    Thesis, fully external | UvA-DARE
  • Girlando, M., Negri, S., Sbardolini, G. (2019) Uniform Labelled Calculi for Conditional and Counterfactual Logics.
    In Iemhoff, R. Moortgat, M. de Queiroz, R. (Eds.), Logic, Language, Information, and Computation: 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, July 2-5, 2019 : proceedings (pp 248-263) (Lecture Notes in Computer Science
    FoLLI Publications on Logic, Language and Information, Vol. 11541). Springer.
  • Gitik, M., Löwe, B. (1999) Cofinalities of linear orders.
    Order, Vol. 16 (pp 105-111)
  • Giulianelli, M., Baan, J., Aziz, W., Fernández, R., Plank, B. (2023) What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability.
    In Bouamar, 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 14349–14371). Association for Computational Linguistics.
  • Giulianelli, M., Del Tredici, M., Fernández, R. (2020) Analysing Lexical Semantic Change with Contextualised Word Representations.
    In Jurafsky, D. Chai, J. Schluter, N. Tetreault, J. (Eds.), The 58th Annual Meeting of the Association for Computational Linguistics: ACL 2020 : Proceedings of the Conference : July 5-10, 2020 (pp 3960–3973). The Association for Computational Linguistics.
  • Giulianelli, M., Fernández, R. (2021) Analysing Human Strategies of Information Transmission as a Function of Discourse Context.
    In Bisazza, A. Abend, O. (Eds.), The 25th Conference on Computational Natural Language Learning: CoNLL 2021 : proceedings of the conference : November 10-11, 2021, online (pp 647–660). The Association for Computational Linguistics.
  • Giulianelli, M., Harding, J., Mohnert, F., Hupkes, D., Zuidema, W. (2018) Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information.
    In Linzen, T. Chrupała, G. Alishahi, A. (Eds.), The 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP: EMNLP 2018 : proceedings of the First Workshop : November 1, 2018, Brussels, Belgium (pp 240–248). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/W18-5426 | UvA-DARE
  • Giulianelli, M., Kutuzov, A., Pivovarova, L. (2021) Grammatical Profiling for Semantic Change Detection.
    In Bisazza, A. Abend, O. (Eds.), The 25th Conference on Computational Natural Language Learning: CoNLL 2021 : proceedings of the conference : November 10-11, 2021, online (pp 423–434). The Association for Computational Linguistics.
  • Giulianelli, M., Kutuzov, A., Pivovarova, L. (2022) Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change.
    In Tahmasebi, N. Montariol, S. Kutuzov, A. Hengchen, S. Dubossarsky, H. Borin, L. (Eds.), 3rd International Workshop on Computational Approaches to Historical Language Change 2022: LChange 2022 : proceedings of the workshop : May 26-27, 2022 (pp 54-67). Association for Computational Linguistics.
  • Giulianelli, M., Luden, I., Fernández, R., Kutuzov, A. (2023) Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis.
    In Rogers, A. Boyd-Graber, J. Okazaki, N. (Eds.), The 61st Conference of the Association for Computational Linguistics: Proceedings of the Conference : ACL 2023 : July 9-14, 2023 (pp 3130-3148). Association for Computational Linguistics.
  • Giulianelli, M., Sinclair, A., Fernández, R. (2021) Is Information Density Uniform in Task-Oriented Dialogues?.
    In Moens, M.-C. Huang, X. Specia, L. Yih, S.W. (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp 8271–8283). The Association for Computational Linguistics.
  • Giulianelli, M., Sinclair, A., Fernández, R. (2022) Construction Repetition Reduces Information Rate in Dialogue.
    In He, Y. Ji, H. Li, S. Liu, Y. Chang, C.-H. (Eds.), The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: proceedings of the conference : AACL-IJCNLP 2022 : November 20-23, 2022 (pp 665-682). The Association for Computational Linguistics.
  • Giulianelli, M., Wallbridge, S., Fernández, R. (2023) Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives.
    In Bouamar, 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 5633-5653). Association for Computational Linguistics.
  • Giulianelli, M. (2022) Towards Pragmatic Production Strategies for Natural Language Generation.
    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 7978-7984). Association for Computational Linguistics.
  • Giulianelli, M. (2023) Neural models of language use: Studies of language comprehension and production in context.
    ILLC Dissertation series
    Thesis, fully internal | UvA-DARE

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