Interactive Machine Learning for Compositional Models of Natural Language

Project Information

INTERACT

Grant agreement ID: 853459

DOI

10.3030/853459

Project closed

EC signature date 28 November 2019

Start date 1 March 2020

End date 28 February 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 499 375,00

EU contribution

€ 1 499 375,00

Coordinated by

UNIVERSITAT POLITECNICA DE CATALUNYA
Spain

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (13)

Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers.

Author(s): Davide Locatelli, Ariadna Quattoni
Published in: 2022
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2022.starsem-1.17

SPOT: Zero-Shot Semantic Parsing Over Property Graphs

Author(s): Francesco Cazzaro, Justin Kleindienst, Sofia Márquez Gomez, Ariadna Quattoni
Published in: Findings of the Association for Computational Linguistics: ACL 2025, 2025, Page(s) 10057-10073
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2025.findings-acl.524

Minimizing Annotation Effort via Max-Volume Spectral Sampling

Author(s): Ariadna Quattoni, Xavier Carreras
Published in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, Page(s) 2890-2899
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2021.findings-emnlp.246

Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing

Author(s): Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni, Xavier Carreras
Published in: Findings of the Association for Computational Linguistics: EACL 2023, 2023, Page(s) 227-238
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2023.findings-eacl.17

Leveraging the Structure of Pre-trained Embeddings to Minimize Annotation Effort

Author(s): Cesar Gonzalez-Gutierrez, Ariadna Quattoni
Published in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024, Page(s) 7003-7017
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2024.naacl-long.387

Entity Disambiguation on a Tight Labeling Budget

Author(s): Audi Primadhanty, Ariadna Quattoni
Published in: Findings of the Association for Computational Linguistics: EMNLP 2023, 2023, Page(s) 7208-7215
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2023.findings-emnlp.479

Align and Augment: Generative Data Augmentation for Compositional Generalization

Author(s): Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni
Published in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2026, Page(s) 369-383
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2024.eacl-long.22

ZOGRASCOPE: A New Benchmark for Semantic Parsing over Property Graphs

Author(s): Francesco Cazzaro, Justin Kleindienst, Sofia Márquez Gomez, Ariadna Quattoni
Published in: Findings of the Association for Computational Linguistics: EMNLP 2025, 2025, Page(s) 4239-4246
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2025.findings-emnlp.227

A comparison between CNNs and WFAs for Sequence Classification

Author(s): Ariadna Quattoni, Xavier Carreras
Published in: Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2026, Page(s) 159-163
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2020.sustainlp-1.21

Domain Pre-training Impact on Representations

Author(s): Cesar Gonzalez-Gutierrez, Ariadna Quattoni
Published in: Findings of the Association for Computational Linguistics: EMNLP 2025, 2025, Page(s) 22033-22049
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2025.findings-emnlp.1201

Analyzing Text Representations by Measuring Task Alignment

Author(s): Cesar Gonzalez-Gutierrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni
Published in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023, Page(s) 70-81
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2023.acl-short.7

Does Fine-tuning a Classifier Help in Low-budget Scenarios? Not Much

Author(s): Cesar Gonzalez - Gutierrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni
Published in: Proceedings of the Fifth Workshop on Insights from Negative Results in NLP, 2024, Page(s) 17-24
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2024.insights-1.3

A Cross-Lingual Study of Homotransphobia on Twitter

Author(s): Davide Locatelli, Greta Damo, Debora Nozza
Published in: Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP), 2023, Page(s) 16-24
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2023.c3nlp-1.3

Other (1)

Are Deep Sequence Classifiers Good at Non-Trivial Generalization?

Author(s): Francesco Cazzaro; Ariadna Quattoni; Xavier Carreras
Published in: NeurIPS 2022 Workshop on Robustness in Sequence Modeling, Issue 1, 2022
Publisher: ARCHIVE
DOI: 10.48550/arxiv.2210.13082

Thesis and dissertations (1)

Analyzing and Leveraging the Structure of Pre-trained Embeddings

Author(s): César González Gutiérrez
Published in: 2026
Publisher: UPC Commons