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Vânia Mendonça

Contactos

Departamento de Informática

Sala/Gabinete 6.3.46
Ext. Principal 526346
Email vpmendonca@ciencias.ulisboa.pt
Carreira Docente Universitário
Categoria Professor Auxiliar Convidado

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Currículo Resumido

Vânia Mendonça is an Invited Assistant Professor at the Informatics Department of the Faculty of Sciences - University of Lisbon (FCUL) and is an Integrated Researcher at LASIGE. Prior to joining FCUL/LASIGE, she was a researcher at INESC-ID and obtained her PhD (2022) in Computer Science and Engineering at Instituto Superior Técnico - University of Lisbon (IST), where she was also a Teaching Assistant. Her current research interests include low-resource Natural Language Processing, Human-Computer Interaction, and Assistive Technologies. She is currently supervising several MSc theses falling under these topics.

Publicações selecionadas
  • Vânia Mendonça, Ricardo Rei, Luísa Coheur, Alberto Sardinha, "Onception: Active Learning with Expert Advice for Real World Machine Translation" in Computational Linguistics, pp. 1-48, 2023
  • Soraia M. Alarcão, Vânia Mendonça, Cláudia Sevivas, Carolina Maruta, Manuel J. Fonseca, "Annotate Smarter, Not Harder: Using Active Learning to Reduce Emotional Annotation Effort" in IEEE Transactions on Affective Computing, pp. 1-14, 2023.
  • Soraia M. Alarcão, Vânia Mendonça, Carolina Maruta, Manuel J. Fonseca, "ExpertosLF: dynamic late fusion of CBIR systems using online learning with relevance feedback" in Multimedia Tools and Applications, vol. 82, pp. 11619-11661, 2022.
  • Vânia Mendonça, Ricardo Rei, Luísa Coheur, Alberto Sardinha, Ana Lúcia Santos, "Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort" in Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Online, 2021, pp. 3105-3117
  • Vânia Mendonca, Alberto Sardinha, Luísa Coheur, Ana Lúcia Santos, "Query Strategies, Assemble! Active Learning with Expert Advice for Low-resource Natural Language Processing" in 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, 2020, pp. 1-8

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