Impact of Gender Debiased Word Embeddings in Language Modeling. - Christine Basta; Marta R. Costa-jussà (CICLing (1), 2019)

The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT. - Noe Casas; José A. R. Fonollosa; Carlos Escolano; Christine Basta; Marta R. Costa-jussà (WMT (2), 2019)

Evaluating the Underlying Gender Bias in Contextualized Word Embeddings. - Christine Basta; Marta Ruiz Costa-jussà; Noe Casas (CoRR, 2019)

Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters. - Marta R. Costa-jussà; Carlos Escolano; Christine Basta; Javier Ferrando; Roser Batlle; Ksenia Kharitonova (CoRR, 2020)

Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation. - Carlos Escolano; Graciela Ojeda; Christine Basta; Marta R. Costa-jussà (ICON, 2021)

Impact of COVID-19 in Natural Language Processing Publications: a Disaggregated Study in Gender, Contribution and Experience. - Christine Basta; Marta R. Costa-jussà (LT-EDI@EACL, 2021)

The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach. - Carlos Escolano; Ioannis Tsiamas; Christine Basta; Javier Ferrando; Marta R. Costa-jussà; José A. R. Fonollosa (WMT@EMNLP, 2021)

Extensive study on the underlying gender bias in contextualized word embeddings. - Christine Basta; Marta R. Costa-jussà; Noe Casas (Neural Comput. Appl., 2021)

Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters. - Marta R. Costa-jussà; Carlos Escolano; Christine Basta; Javier Ferrando; Roser Batlle; Ksenia Kharitonova (AAAI, 2022)

Evaluating Gender Bias in Speech Translation. - Marta R. Costa-jussà; Christine Basta; Gerard I. Gállego (LREC, 2022)

OccGen: Selection of Real-world Multilingual Parallel Data Balanced in Gender within Occupations. - Marta R. Costa-jussà; Christine Basta; Oriol Domingo; André Rubungo (NeurIPS, 2022)

Gender bias in natural language processing - Christine Basta (2022)