Beatrice Savoldi

translation technologies, gender bias and inclusivity, ethics in NLP

1. Savoldi, Beatrice; Piergentili, Andrea; Fucci, Dennis; Negri, Matteo; Bentivogli, Luisa,
   A Prompt Response to the Demand for Automatic Gender-Neutral Translation,
   Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers),
   Association for Computational Linguistics,
   2024
   , pp. 256-
   267
2. Piergentili, Andrea; Fucci, Dennis; Savoldi, Beatrice; Bentivogli, Luisa; Negri, Matteo,
   Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges,
   Proceedings of the First Workshop on Gender-Inclusive Translation Technologies (GITT 2023),
   European Association for Machine Translation,
   2023
   , pp. 71-
   83
3. Vanmassenhove, Eva; Savoldi, Beatrice; Bentivogli, Luisa; Daems, Joke; Hackenbuckner, Janica,
   Proceedings of the First Workshop on Gender-Inclusive Translation Technologies,
   Proceedings of the First Workshop on Gender-Inclusive Translation Technologies,
   European Association for Machine Translation,
   2023
4. Savoldi, Beatrice; Gaido, Marco; Negri, Matteo; Bentivogli, Luisa,
   Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES,
   Proceedings of the Eighth Conference on Machine Translation,
   2023
   , pp. 252-
   262
5. Piergentili, Andrea; Savoldi, Beatrice; Fucci, Dennis; Negri, Matteo; Bentivogli, Luisa,
   Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the {G}e{NTE} Corpus,
   Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing,
   Association for Computational Linguistics,
   2023
   , pp. 14124-
   14140
6. Piazzolla, Silvia Alma; Savoldi, Beatrice; Bentivogli, Luisa,
   Good, but not always Fair: An Evaluation of Gender Bias for three Commercial Machine Translation Systems,
   in «HERMES»,
   n. 63,
   2023
7. Savoldi, Beatrice; Gaido, Marco; Bentivogli, Luisa; Negri, Matteo; Turchi, Marco,
   Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation,
   in «»,
   Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),
   Association for Computational Linguistics,
   vol. ,
   n. ,
   2022
   , pp. 1807-
   1824
8. Savoldi, Beatrice; Gaido, Marco; Bentivogli, Luisa; Negri, Matteo; Turchi, Marco,
   On the Dynamics of Gender Learning in Speech Translation,
   in «»,
   Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP),
   Association for Computational Linguistics,
   vol. ,
   n. ,
   2022
   , pp. 94-
   111
9. Gaido, Marco; Savoldi, Beatrice; Bentivogli, Luisa; Negri, Matteo; Turchi, Marco,
   How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation,
   in «»,
   Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021,
   Association for Computational Linguistics,
   vol. ,
   n. ,
   2021
   , pp. 3576-
   3589
10. Savoldi, Beatrice; Gaido, Marco; Bentivogli, Luisa; Negri, Marco; Turchi, Marco,
    Gender bias in machine translation,
    in «TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS»,
    ,
    ,
    vol. 9,
    n. ,
    2021
    , pp. 845-
    874
11. Savoldi, Beatrice; Bentivogli, Luisa,
    Gender bias and Machine Translation: On first looking into parallel corpora,
    Using Corpora in Contrastive and Translation Studies,
    2021
12. Gaido, Marco; Savoldi, Beatrice; Bentivogli, Luisa; Negri, Matteo; Turchi, Marco,
    Breeding Gender-aware Direct Speech Translation Systems,
    Proceedings of the 28th International Conference on Computational Linguistics,
    2020
    , pp. 3951-
    3964
13. Bentivogli, Luisa; Savoldi, Beatrice; Negri, Matteo; Di Gangi, Mattia Antonino; Cattoni, Roldano; Turchi, Marco,
    Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus,
    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics,
    Association for Computational Linguistics,
    2020
    , pp. 6923-
    6933