Sandro Pezzelle
Title
Cited by
Cited by
Year
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
1212016
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
492017
“Look, some green circles!”: Learning to quantify from images
I Sorodoc, A Lazaridou, G Boleda, A Herbelot, S Pezzelle, R Bernardi
Proceedings of the 5th Workshop on Vision and Language, 75-79, 2016
182016
Probing the mental representation of quantifiers
S Pezzelle, R Bernardi, M Piazza
Cognition 181, 117-126, 2018
172018
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
112018
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
102018
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
102017
Is the red square big? malevic: Modeling adjectives leveraging visual contexts
S Pezzelle, R Fernández
arXiv preprint arXiv:1908.10285, 2019
92019
Vision and language integration: Moving beyond objects
R Shekhar, S Pezzelle, A Herbelot, M Nabi, E Sangineto, R Bernardi
IWCS 2017—12th International Conference on Computational Semantics—Short …, 2017
72017
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
62020
The wisdom of MaSSeS: Majority, subjectivity, and semantic similarity in the evaluation of VQA
S Jolly, S Pezzelle, T Klein, A Dengel, M Nabi
arXiv preprint arXiv:1809.04344, 2018
42018
Building a bagpipe with a bag and a pipe: Exploring conceptual combination in vision
S Pezzelle, R Shekhar, R Bernardi
Proceedings of the 5th Workshop on Vision and Language, 60-64, 2016
42016
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
32020
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
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
32020
Quantifiers in a multimodal world: Hallucinating vision with language and sound
A Testoni, S Pezzelle, R Bernardi
Proceedings of the workshop on cognitive modeling and computational …, 2019
32019
Can you see the (linguistic) difference? Exploring mass/count distinction in vision
DA Smith, S Pezzelle, F Franzon, C Zanini, R Bernardi
IWCS 2017—12th International Conference on Computational Semantics—Short …, 2017
32017
Big generalizations with small data: Exploring the role of training samples in learning adjectives of size
S Pezzelle, R Fernández
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world …, 2019
22019
Linguistic issues behind visual question answering
R Bernardi, S Pezzelle
Language and Linguistics Compass 15 (6), e12417, 2021
2021
EaSe: A Diagnostic Tool for VQA Based on Answer Diversity
S Jolly, S Pezzelle, M Nabi
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
2021
Proceedings of the Third Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)
M Mosbach, MA Hedderich, S Pezzelle, A Mogadala, D Klakow, ...
Proceedings of the Third Workshop on Beyond Vision and LANguage: inTEgrating …, 2021
2021
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