Searchable List of Research Output

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  • Pedersen, M.Y., Smets, S., Ågotnes, T. (2019) Analyzing Echo Chambers: A Logic of Strong and Weak Ties.
    In Blackburn, P. Lorini, E. Guo, M. (Eds.), Logic, Rationality, and Interaction: 7th International Workshop, LORI 2019, Chongqing, China, October 18–21, 2019 : proceedings (pp 183-198) (Lecture Notes in Computer Science
    FoLLI Publications on Logic, Language and Information, Vol. 11813). Springer.
  • Pedersen, M.Y., Smets, S., Ågotnes, T. (2020) Further Steps Towards a Logic of Polarization in Social Networks.
    In Dastani, M. Dong, H. van der Torre, L. (Eds.), Logic and Argumentation: Third International Conference, CLAR 2020, Hangzhou, China, April 6–9, 2020 : proceedings (pp 324-345) (Lecture Notes in Computer Science
    Lecture Notes in Artificial Intelligence, Vol. 12061). Springer.
  • Pedersen, M.Y., Smets, S., Ågotnes, T. (2021) Modal Logics and Group Polarization.
    Journal of Logic and Computation, Vol. 31 (pp 2240-2269)
  • Pelsmaeker, T., Aziz, W. (2020) Effective Estimation of Deep Generative Language Models.
    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 7220-7236). The Association for Computational Linguistics.
    Conference contribution | http://10.18653/v1/2020.acl-main.646 | UvA-DARE
  • Penders, B., Russo, F. (2018) The day the milk went sour: Bridging epistemology and ontology in Latour’s empirical philosophy: [Review of: G. de Vries (2016) Bruno Latour].
    Science as Culture, Vol. 27 (pp 398-402)
    Book/Film/Article/Exhibition review | https://doi.org/10.1080/09505431.2018.1476480 | UvA-DARE
  • Peng, T., Harrow, A.W., Ozols, M., Wu, X. (2020) Simulating large quantum circuits on a small quantum computer.
    Physical Review Letters, Vol. 125
  • Penserini, L., Dignum, F., Dignum, V., Aldewereld, H., Grossi, D. (2009) Evaluating organizational configurations.
    In Baeza-Yates, R. Lang, J. Mitra, S. Parsons, S. Pasi, G. (Eds.), Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (IAT 2009) (pp 153-160). IEEE Computer Society.
  • Pereira, G., Couldry, N. (2023) Data colonialism now: harms and consequences.
    In Tierra Común Network (Eds.), Resisting Data Colonialism: A Practical Intervention (pp 38-44, 106) (Theory on demand, Vol. 50). Institute of Network Cultures.
  • Pereira, G., Moreschi, B. (2023) Living with images from large-scale data sets: A critical pedagogy for scaling down.
    Photographies, Vol. 16 (pp 235-261)
  • Perrotin, E., Velázquez-Quesada, F.R. (2021) A semantic approach to non-prioritized belief revision.
    Logic Journal of the IGPL, Vol. 29 (pp 644–671)
  • Pezzelle, S., Fernández, R. (2019) Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts.
    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 2865-2876). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/D19-1285 | UvA-DARE
  • Pezzelle, S., Fernández, R. (2019) Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size.
    In Mogadala, A. Klakow, D. Pezzelle, S. Moens, M.-F. (Eds.), Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN): EMNLP-IJCNLP 2019 : proceedings of the workshop : November 3, 2019, Hong Kong, China (pp 18-23). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/D19-6403 | UvA-DARE
  • Pezzelle, S., Fernández, R. (2020) Asking questions with a big impact: Adapting to other interpretations of gradable adjectives.
  • Pezzelle, S., Fernández, R. (2023) Semantic Adaptation to the Interpretation of Gradable Adjectives via Active Linguistic Interaction.
    Cognitive Science, Vol. 47
  • Pezzelle, S., Greco, C., Gandolfi, G., Gualdoni, E., Bernardi, R. (2020) Be Different to Be Better!: A Benchmark to Leverage the Complementarity of Language and Vision.
    In Cohn, T. He, Y. Liu, Y. (Eds.), Findings of the Association for Computational Linguistics : Findings of ACL: EMNLP 2020: 16-20 November, 2020 (pp 2751-2767). The Association for Computational Linguistics.
  • Pezzelle, S., Marelli, M. (2020) Do semantic features capture a syntactic classification of compounds? Insights from compositional distributional semantics.
    In Schulte im Walde, S. Smolka, E. (Eds.), The role of constituents in multiword expressions: An interdisciplinary, cross-lingual perspective (pp 33-60) (Phraseology and Multiword Expressions, Vol. 4). Language Science Press.
  • Pezzelle, S., Steinert-Threlkeld, S., Bernardi, R., Szymanik, J. (2018) Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers.
    In Gurevych, I. Miyao, Y. (Eds.), ACL 2018 : The 56th Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : July 15-20, 2018, Melbourne, Australia (pp 114-119). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/P18-2019 | UvA-DARE
  • Pezzelle, S., Takmaz, E., Fernández, R. (2021) Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic Evaluation.
    Transactions of the Association of Computational Linguistics, Vol. 9 (pp 1563–1579)
  • Pezzelle, S. (2021) Identifying, Analyzing, and Overcoming Challenges in Vision and Language Research.
    Frontiers Research Topics
    Special issue (Editorship) | UvA-DARE
  • Phang, J., Calixto, I., Htut, P.M., Pruksachatkun, Y., Liu, H., Vania, C., Kann, K., Bowman, S.R. (2020) English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too.
    In Wong, K.-F. Knight, K. Wu, H. (Eds.), The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: AACL-IJCNLP 2020 : proceedings of the conference : December 4-7, 2020 (pp 557–575). The Association for Computational Linguistics.

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