Sandro Pezzelle

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Raffaella BernardiUniversity of TrentoVerified email at unitn.it
Raquel FernándezInstitute for Logic, Language and Computation, University of AmsterdamVerified email at uva.nl
Angeliki LazaridouResearch Scientist, Google DeepMindVerified email at google.com
Ece TakmazUtrecht UniversityVerified email at uu.nl
Aurelie HerbelotUniversity of TrentoVerified email at unitn.it
Gemma BoledaICREA Research Professor, Universitat Pompeu FabraVerified email at upf.edu
Marco BaroniICREA Professor (Barcelona)Verified email at upf.edu
Denis PapernoUtrecht UniversityVerified email at uu.nl
Germán KruszewskiSenior Scientist @ Naver Labs Europe; MSCA Postdoctoral Researcher @ UPFVerified email at naverlabs.com
Moin NabiResearch Scientist at AppleVerified email at uw.edu
Ionut-Teodor SorodocPhD student, Pompeu Fabra UniversityVerified email at upf.edu
Ravi ShekharUniversity of EssexVerified email at essex.ac.uk
Enver SanginetoUniversity of Modena e Reggio EmiliaVerified email at unimore.it
Mario GiulianelliETH ZürichVerified email at inf.ethz.ch
Arabella SinclairLecturer, University of AberdeenVerified email at abdn.ac.uk
Alberto TestoniUniversity of AmsterdamVerified email at uva.nl
Lisa BeinbornHuman-Centered Data Science, University of GöttingenVerified email at uni-goettingen.de
Desmond ElliottAssociate Professor, University of CopenhagenVerified email at di.ku.dk
Manuela PiazzaCIMeC - University of Trento, ItalyVerified email at unitn.it
Marco MarelliDepartment of Psychology, University of Milano-BicoccaVerified email at unimib.it

Sandro Pezzelle

Assistant Professor at ILLC, University of Amsterdam

Verified email at uva.nl - Homepage

Semantics Natural Language Processing Language and Vision Cognitive Science AI


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The LAMBADA dataset: Word prediction requiring a broad discourse context D Paperno, G Kruszewski, A Lazaridou, QN Pham, R Bernardi, S Pezzelle, ... arXiv preprint arXiv:1606.06031, 2016	540	2016
Foil it! find one mismatch between image and language caption R Shekhar, S Pezzelle, Y Klimovich, A Herbelot, M Nabi, E Sangineto, ... arXiv preprint arXiv:1705.01359, 2017	139	2017
Refer, reuse, reduce: Generating subsequent references in visual and conversational contexts E Takmaz, M Giulianelli, S Pezzelle, A Sinclair, R Fernández arXiv preprint arXiv:2011.04554, 2020	33	2020
Probing the mental representation of quantifiers S Pezzelle, R Bernardi, M Piazza Cognition 181, 117-126, 2018	32	2018
Generating image descriptions via sequential cross-modal alignment guided by human gaze E Takmaz, S Pezzelle, L Beinborn, R Fernández arXiv preprint arXiv:2011.04592, 2020	31	2020
Llms instead of human judges? a large scale empirical study across 20 nlp evaluation tasks A Bavaresco, R Bernardi, L Bertolazzi, D Elliott, R Fernández, A Gatt, ... arXiv preprint arXiv:2406.18403, 2024	27	2024
Is the red square big? MALeViC: Modeling adjectives leveraging visual contexts S Pezzelle, R Fernández arXiv preprint arXiv:1908.10285, 2019	23	2019
“Look, some green circles!”: Learning to quantify from images I Sorodoc, A Lazaridou, G Boleda Torrent, AGG Herbelot, S Pezzelle, ... ACL 2016 5th Workshop on Vision and Language (VL’16): Proceedings of the …, 2016	22	2016
Be different to be better! A benchmark to leverage the complementarity of language and vision S Pezzelle, C Greco, G Gandolfi, E Gualdoni, R Bernardi Findings of the association for computational linguistics: EMNLP 2020, 2751-2767, 2020	21	2020
Word representation learning in multimodal pre-trained transformers: An intrinsic evaluation S Pezzelle, E Takmaz, R Fernández Transactions of the Association for Computational Linguistics 9, 1563-1579, 2021	17	2021
Linguistic issues behind visual question answering R Bernardi, S Pezzelle Language and Linguistics Compass 15 (6), elnc3.12417, 2021	16	2021
Dealing with semantic underspecification in multimodal NLP S Pezzelle arXiv preprint arXiv:2306.05240, 2023	14	2023
Vision and language integration: Moving beyond objects R Shekhar, S Pezzelle, A Herbelot, M Nabi, E Sangineto, R Bernardi Proceedings of the 12th International Conference on Computational Semantics …, 2017	14	2017
Comparatives, quantifiers, proportions: a multi-task model for the learning of quantities from vision S Pezzelle, IT Sorodoc, R Bernardi arXiv preprint arXiv:1804.05018, 2018	12	2018
Be precise or fuzzy: Learning the meaning of cardinals and quantifiers from vision S Pezzelle, M Marelli, R Bernardi arXiv preprint arXiv:1702.05270, 2017	10	2017
Less descriptive yet discriminative: Quantifying the properties of multimodal referring utterances via CLIP E Takmaz, S Pezzelle, R Fernández Proceedings of the workshop on cognitive modeling and computational …, 2022	9	2022
Some of them can be guessed! Exploring the effect of linguistic context in predicting quantifiers S Pezzelle, S Steinert-Threlkeld, R Bernardi, J Szymanik arXiv preprint arXiv:1806.00354, 2018	9	2018
Learning quantification from images: A structured neural architecture I Sorodoc, S Pezzelle, A Herbelot, M Dimiccoli, R Bernardi Natural Language Engineering 24 (3), 363-392, 2018	9	2018
When language models fall in love: Animacy processing in transformer language models M Hanna, Y Belinkov, S Pezzelle arXiv preprint arXiv:2310.15004, 2023	8	2023
A Psycholinguistic Analysis of BERT's Representations of Compounds L Buijtelaar, S Pezzelle arXiv preprint arXiv:2302.07232, 2023	8	2023

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