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

Publications

Conference proceedings (6)

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

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

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

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