Interactive Machine Learning for Compositional Models of Natural Language

Project Information

INTERACT

Grant agreement ID: 853459

DOI

10.3030/853459

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

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 (11)

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

Align and Augment: Generative Data Augmentation for Compositional Generalization

Author(s): Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni
Published in: 2024
Publisher: ACL

Entity Disambiguation on a Tight Labeling Budget

Author(s): Audi Primadhanty, Ariadna Quattoni
Published in: 2023
Publisher: ACL

Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing

Author(s): Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni, Xavier Carreras
Published in: 2023, Page(s) Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni, Xavier Carreras
Publisher: arXiv
DOI: 10.48550/arxiv.2210.04878

A Cross-Lingual Study of Homotransphobia on Twitter

Author(s): Davide Locatelli, Greta Damo, Debora Nozza
Published in: 2023
Publisher: ACL

A Comparison of CNNs and WFAs for Sequence Classification

Author(s): Ariadna Quattoni and Xavier Carreras
Published in: 2020
Publisher: Association of Computational Linguistics

Analyzing Text Representations by Measuring Task Alignment

Author(s): Cesar Gonzalez-Gutierrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni
Published in: 2023
Publisher: ACL

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 (NAACL 2024), 2024
Publisher: ACL

Are Deep Sequence Classifiers Good at Non-Trivial Generalization?

Author(s): Francesco Cazzaro, Ariadna Quattoni, Xavier Carreras
Published in: 2022
Publisher: arXiv

Minimizing Annotation Effort via Spectral Sampling

Author(s): Ariadna Quattoni and Xavier Carreras
Published in: 2022
Publisher: Association of Computational Linguistics

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: 5th Workshop on Insights from Negative Results in NLP, 2024
Publisher: ACL

Other (1)

Analyzing Text Representations under Tight Annotation Budgets:Measuring Structural Alignment

Author(s): César González-Gutiérrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni
Published in: 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2210.05721