Sandro Pezzelle
Título
Citado por
Citado por
Año
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
832016
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
312017
“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
162016
Probing the mental representation of quantifiers
S Pezzelle, R Bernardi, M Piazza
Cognition 181, 117-126, 2018
92018
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
92018
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
82017
Learning quantification from images: A structured neural architecture
I Sorodoc, S Pezzelle, A Herbelot, M Dimiccoli, R Bernardi
Natural Language Engineering 24 (3), 363, 2018
72018
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
52017
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts
S Pezzelle, R Fernández
arXiv preprint arXiv:1908.10285, 2019
42019
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
32016
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
12019
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
12018
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
12017
The LAMBADA dataset: word prediction requiring a broad discourse context
G Boleda, D Paperno, G Kruszewski, A Lazaridou, QN Pham, R Bernardi, ...
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
12016
Do semantic features capture a syntactic classification of compounds? Insights from compositional distributional semantics
S Pezzelle, M Marelli
The role of constituents in multiword expressions, 33, 2020
2020
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)
A Mogadala, D Klakow, S Pezzelle, MF Moens
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world …, 2019
2019
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
2019
Enhancing Neural Image Captioning with Eye-Tracking
E Takmaz, L Beinborn, S Pezzelle, R Fernandez
Abstract for the EurNLP Summit, to appear, 2019
2019
Learning the Meaning of Quantifiers from Language and Vision
S Pezzelle
University of Trento, 2018
2018
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
2018
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