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
1002016
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
402017
“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
132018
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
82018
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
82018
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
Is the red square big? malevic: Modeling adjectives leveraging visual contexts
S Pezzelle, R Fernández
arXiv preprint arXiv:1908.10285, 2019
72019
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
62017
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
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
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
22018
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
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
12019
Proceedings of the Second Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)
A Mogadala, S Pezzelle, D Klakow, MF Moens, Z Akata
Proceedings of the Second Workshop on Beyond Vision and LANguage …, 2020
2020
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
2020
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
2020
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
2020
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
Grounded and Ungrounded Referring Expressions in Human Dialogues: Language Mirrors Different Grounding Conditions
E Gualdoni, R Bernardi, R Fernández, S Pezzelle
2020
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Articles 1–20