Sandro Pezzelle

Orcid: 0000-0002-3969-7445

According to our database1, Sandro Pezzelle authored at least 39 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Bibliography

2024
Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms.
CoRR, 2024

Naming, Describing, and Quantifying Visual Objects in Humans and LLMs.
CoRR, 2024

Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!
CoRR, 2024

Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Semantic Adaptation to the Interpretation of Gradable Adjectives via Active Linguistic Interaction.
Cogn. Sci., February, 2023

Fixing confirmation bias in feature attribution methods via semantic match.
CoRR, 2023

GROOViST: A Metric for Grounding Objects in Visual Storytelling.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

When Language Models Fall in Love: Animacy Processing in Transformer Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Psycholinguistic Analysis of BERT's Representations of Compounds.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Dealing with Semantic Underspecification in Multimodal NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Time Alignment between Gaze and Speech in Image Descriptions: Exploring Theories of Linearization.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic Evaluation.
Trans. Assoc. Comput. Linguistics, 2021

Linguistic issues behind visual question answering.
Lang. Linguistics Compass, 2021

Probing Cross-Modal Representations in Multi-Step Relational Reasoning.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

EaSe: A Diagnostic Tool for VQA based on Answer Diversity.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Detecting Age-Related Linguistic Patterns in Dialogue: Toward Adaptive Conversational Systems.
Proceedings of the Eighth Italian Conference on Computational Linguistics, 2021

2020
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Asking questions with a big impact: Adapting to other interpretations of gradable adjectives.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Grounded and Ungrounded Referring Expressions in Human Dialogues: Language Mirrors Different Grounding Conditions.
Proceedings of the Seventh Italian Conference on Computational Linguistics, 2020

2019
Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size.
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge, 2019

Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Learning the Meaning of Quantifiers from Language and Vision.
PhD thesis, 2018

Learning quantification from images: A structured neural architecture.
Nat. Lang. Eng., 2018

The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA.
CoRR, 2018

Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Pay Attention to Those Sets! Learning Quantification from Images.
CoRR, 2017

Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision.
Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017

Vision and Language Integration: Moving beyond Objects.
Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017

Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

FOIL it! Find One mismatch between Image and Language caption.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Imparare a Quantificare Guardando (Learning to Quantify by Watching).
Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), 2016

"Look, some Green Circles!": Learning to Quantify from Images.
Proceedings of the 5th Workshop on Vision and Language, 2016

Building a Bagpipe with a Bag and a Pipe: Exploring Conceptual Combination in Vision.
Proceedings of the 5th Workshop on Vision and Language, 2016

The LAMBADA dataset: Word prediction requiring a broad discourse context.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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