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ORCIDChristine Basta
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2020 – today
- 2022
[b1]Christine Basta:
Gender bias in natural language processing. Polytechnic University of Catalonia, Spain, 2022- [c8]Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
:
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters. AAAI 2022: 11855-11863 - [c7]Marta R. Costa-jussà, Christine Basta, Gerard I. Gállego:
Evaluating Gender Bias in Speech Translation. LREC 2022: 2141-2147 - [c6]Marta R. Costa-jussà, Christine Basta, Oriol Domingo, André Rubungo:
OccGen: Selection of Real-world Multilingual Parallel Data Balanced in Gender within Occupations. NeurIPS 2022 - 2021
- [j1]Christine Basta, Marta R. Costa-jussà, Noe Casas:
Extensive study on the underlying gender bias in contextualized word embeddings. Neural Comput. Appl. 33(8): 3371-3384 (2021) - [c5]Carlos Escolano, Graciela Ojeda, Christine Basta, Marta R. Costa-jussà:
Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation. ICON 2021: 12-17 - [c4]Christine Basta, Marta R. Costa-jussà:
Impact of COVID-19 in Natural Language Processing Publications: a Disaggregated Study in Gender, Contribution and Experience. LT-EDI@EACL 2021: 1-6 - [c3]Carlos Escolano, Ioannis Tsiamas, Christine Basta, Javier Ferrando, Marta R. Costa-jussà, José A. R. Fonollosa:
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach. WMT@EMNLP 2021: 117-122 - [i4]Christine Basta, Marta R. Costa-jussà:
Impact of Gender Debiased Word Embeddings in Language Modeling. CoRR abs/2105.00908 (2021) - 2020
- [i3]Marta R. Costa-jussà, Christine Basta, Gerard I. Gállego:
Evaluating Gender Bias in Speech Translation. CoRR abs/2010.14465 (2020) - [i2]Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova:
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters. CoRR abs/2012.13176 (2020)
2010 – 2019
- 2019
- [c2]Christine Basta, Marta R. Costa-jussà:
Impact of Gender Debiased Word Embeddings in Language Modeling. CICLing (1) 2019: 342-350 - [c1]Noe Casas, José A. R. Fonollosa, Carlos Escolano, Christine Basta, Marta R. Costa-jussà:
The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT. WMT (2) 2019: 155-162 - [i1]Christine Basta, Marta Ruiz Costa-jussà, Noe Casas:
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings. CoRR abs/1904.08783 (2019)
Coauthor Index
aka: Marta Ruiz Costa-jussà
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