Proceedings of the Second Workshop on Gender Bias in Natural Language Processing
Autori:
Marta R. Costa-jussà, Christian Hardmeier, Will Radford, Kellie Webster
Pubblicato in:
2020
Editore:
Association for Computational Linguistics
Continual Lifelong Learning in Natural Language Processing: A Survey
(si apre in una nuova finestra)
Autori:
Magdalena Biesialska, Katarzyna Biesialska, Marta R. Costa-jussà
Pubblicato in:
Proceedings of the 28th International Conference on Computational Linguistics, 2020, Pagina/e 6523-6541
Editore:
International Committee on Computational Linguistics
DOI:
10.18653/v1/2020.coling-main.574
Fine-tuning Neural Machine Translation on Gender-Balanced Datasets
Autori:
Marta R. Costa-jussà, Adrià de Jorge
Pubblicato in:
Proceedings of the Second Workshop on Gender Bias in Natural Language Processing, 2020, Pagina/e 26-34
Editore:
Association for Computational Linguistics
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
Autori:
Costa-jussà, Marta R.; Escolano, Carlos; Basta, Christine; Ferrando, Javier; Batlle, Roser; Kharitonova, Ksenia
Pubblicato in:
Numero 1, 2020
Editore:
Arxiv
How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP
Autori:
Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett
Pubblicato in:
2021
Editore:
Cornell University Library
Multilingual Machine Translation: Closing the Gap between Shared andLanguage-specific Encoder-Decoders
Autori:
Carlos Escolano, Marta R. Costa-jussa, Jos ` e A. R. Fonollosa, Mikel Artetxe
Pubblicato in:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, Pagina/e 944–948
Editore:
Association for Computational Linguistics
