Pestel, J., 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 (pp 555-582)

Article | https://www.clinjournal.org/clinj/article/view/216 | UvA-DARE

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. (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. (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.

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.

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)

Article | https://doi.org/10.1162/tacl_a_00443 | UvA-DARE

Pezzelle, S. (2021) Identifying, Analyzing, and Overcoming Challenges in Vision and Language Research.

Frontiers Research Topics

Special issue (Editorship) | UvA-DARE

Pezzelle, S. (2023) Dealing with Semantic Underspecification in Multimodal NLP.

In Rogers, A. Boyd-Graper, J. Okazaki, N. (Eds.), The 61st Conference of the Association for Computational Linguistics: ACL 2023 : Proceedings of the Conference : July 9-14, 2023 (pp 12098-12112). Association for Computational Linguistics.

Pezzelle, S. (2025) The LAMBADA Dataset.

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Piazza, C., Goguadze, G., Venema, Y. (2003) Simulating polyadic modal logics by monadic ones.

Journal of Symbolic Logic, Vol. 68 (pp 419-462)

Article | https://doi.org/10.2178/jsl/1052669058 | UvA-DARE

Piccardi, T., Redi, M., Colavizza, G., West, R. (2020) Quantifying Engagement with Citations on Wikipedia.

In The Web Conference 2020: Proceedings of The World Wide Web Conference WWW 2020 : April 20–24, 2020 Taipei, Taiwan (pp 2365-2376). International World Wide Web Conference Committee.

Piccardi, T., Redi, M., Colavizza, G., West, R. (2021) On the Value of Wikipedia as a Gateway to the Web.

In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp 249-260). Association for Computing Machinery.

Piccardi, T., West, R., Redi, M., Colavizza, G. (2020) Количественные характеристики работы с цитатами в Википедии. (Часть 1) = Quantifying Engagement with Citations on Wikipedia. (Part 1).

Nauchnye i tekhnicheskie biblioteki, Vol. 2020 (pp 95-120)

Article | https://doi.org/10.33186/1027-3689-2020-9-95-108 | UvA-DARE

Piccardi, T., West, R., Redi, M., Colavizza, G. (2020) Количественные характеристики работы с цитатами в Википедии. (Часть 2) = Quantifying Engagement with Citations on Wikipedia. (Part 2).

Nauchnye i tekhnicheskie biblioteki, Vol. 2020 (pp 63-86)

Article | https://doi.org/10.33186/1027-3689-2020-10-63-76 | UvA-DARE

Piccardi, T., West, R., Redi, M., Colavizza, G. (2020) Количественные характеристики работы с цитатами в Википедии. (Часть 3) = Quantifying Engagement with Citations on Wikipedia. (Part 3).

Nauchnye i tekhnicheskie biblioteki, Vol. 2020 (pp 147-164)

Article | https://doi.org/10.33186/1027-3689-2020-11-147-156 | UvA-DARE

Piccardi, T., West, R., Redi, M., Colavizza, G. (2021) Количественные характеристики работы с цитатами в Википедии. (Часть 4) = Quantifying Engagement with Citations on Wikipedia. (Part 4).

Nauchnye i tekhnicheskie biblioteki, Vol. 2021 (pp 101-128)

Article | https://doi.org/10.33186/1027-3689-2021-2-101-115 | UvA-DARE