Patrícia Pereira

From HLT@INESC-ID

Patricia Pereira is a PhD Student in Electrical and Computer Engineering at Instituto Superior Técnico (IST), Lisbon and researcher at INESC-ID. Her work lies at the intersection of Natural Language Processing and Affective Computing, on Emotion Recognition in Conversations. Patrícia graduated in Electrical and Computer Engineering from IST and received a Master also in Electrical and Computer Engineering from IST and Systems, Control & Robotics from KTH Royal Institute of Technology, Stockholm, Sweden, in 2020. Patrícia did her Master Thesis on Attractor Neural Network models of Associative Memory, at the KTH Computational Brain Science Lab, Stockholm. She modelled the human Lifespan Retrieval Curve from psychological studies with such networks.

Research Interests

  • Natural Language Processing
  • Affective Computing
  • Cognitive Computational Neuroscience
  • Automatic Music Generation
  • Artificial General Intelligence and its future implications

Publications

International Conferences

2022

  • Isabel de Lima Henriques Dias, Ricardo Rei, Patrícia Pereira, Luísa Coheur, Towards a Sentiment-Aware Conversational Agent, In ACM International Conference on Intelligent Virtual Agents (IVA), September 2022
  • Patrícia Pereira, Anders Lansner, Pawel Herman, Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve, In IEEE/INNS International Joint Conference on Neural Networks (IJCNN), July 2022

2021

  • Rita Ramos, Patrícia Pereira, Helena Moniz, Joao P. Carvalho, Bruno Martins, Retrieval Augmentation for Deep Neural Networks, In IEEE/INNS International Joint Conference on Neural Networks (IJCNN), July 2021

Technical Reports

2022

Other Publications

2022

  • Patrícia Pereira, Helena Moniz, Joao P. Carvalho, Deep Emotion Recognition in Textual Conversations: A Survey, ArXiv Preprint, November 2022

2021

  • Patrícia Pereira, Anders Lansner, Pawel Herman, Attractor Neural Network Modelling of the Lifespan Retrieval Curve, Champalimaud Research Symposium (CRS21) - Dialogues on Neural and Machine Intelligence, October 2021