Bootstrapping a Data-Set and Model for Question-Answering in Portuguese (Short Paper)

Question answering systems are mainly concerned with fulfilling an information query written in natural language, given a collection of documents with relevant information. They are key elements in many popular application systems as personal assistants, chat-bots, or even FAQ-based online support systems. This paper describes an exploratory work carried out to come up with a state-of-the-art model for question-answering tasks, for the Portuguese language, based on deep neural networks. We also describe the automatic construction of a data-set for training and testing the model. The final model is not trained in any specific topic or context, and is able to handle generic documents, achieving 50% accuracy in…

• MD
  Ministério da Ciência, Tecnologia e Ensino Superior

  Award: UIDB/05549/2020
• FP
  Fundação para a Ciência e a Tecnologia

  Awards: UIDB/00319/2020, UIDB/05549/2020
• ER
  European Regional Development Fund