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.

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

Article | https://doi.org/10.48550/arXiv.1904.00102 | UvA-DARE

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., Bueno Bojczuk Camargo, Iago, Parks, Lisa (2022) WhatsApp disruptions in Brazil: A content analysis of user and news media responses, 2015–2018.

Global Media and Communication, Vol. 18 (pp 113-148)

Article | https://doi.org/10.1177/17427665211038530 | UvA-DARE

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., Israel, Carolina, Firmino, Rodrigo, Kramer, Henrique, Abad, Júlia (2025) Building a Digital Wall: the political economy of smart surveillance in Curitiba, Brazil.

Globalizations

Article | https://doi.org/10.1080/14747731.2024.2447672 | UvA-DARE

Pereira, G., Moreschi, B., Mintz, A, Beiguelman, G (2022) We’ve always been antagonistic: Algorithmic resistances and dissidences beyond the Global North.

Media International Australia

Article | https://doi.org/10.1177/1329878X221074792 | UvA-DARE

Pereira, G., Moreschi, B. (2020) Artificial Intelligence and Institutional Critique 2.0: Unexpected Ways of Seeing with Computer Vision.

AI & Society

Article | https://doi.org/10.1007/s00146-020-01059-y | UvA-DARE

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)

Article | https://doi.org/10.1080/17540763.2023.2189285 | UvA-DARE

Pereira, G., Raetzsch, Christoph (2022) From Banal Surveillance to Function Creep: Automated License Plate Recognition (ALPR) in Denmark..

Surveillance & Society

Article | https://doi.org/10.24908/ss.v20i3.15000 | UvA-DARE

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)

Article | https://doi.org/10.1093/jigpal/jzz045 | UvA-DARE

Pescarin, Sofia, Martinez Pandiani, Delfina S. (2022) The Impact of Story Structure, Meaningfulness, and Concentration in Serious Games.

Information (Switzerland), Vol. 13

Article | https://doi.org/10.3390/info13120567 | UvA-DARE

Pestel, Julia, Bloem, J., Alhama, R.G. (2025) Evaluating Dutch Speakers and Large Language Models on Standard Dutch: a grammatical Challenge Set based on the Algemene Nederlandse Spraakkunst.

Computational Linguistics in the Netherlands Journal, Vol. 14

Article | 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.

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.

Pezzelle, S., Fernández, R. (2020) Asking questions with a big impact: Adapting to other interpretations of gradable adjectives.

Abstract | https://cogsci.mindmodeling.org/2020/papers/0385/0385.pdf | UvA-DARE

Pezzelle, S., Fernández, R. (2023) Semantic Adaptation to the Interpretation of Gradable Adjectives via Active Linguistic Interaction.

Cognitive Science, Vol. 47

Article | https://doi.org/10.1111/cogs.13248 | UvA-DARE

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.