Knowledge graph and deep learning-based text-to-gql model for intelligent medical consultation chatbot

HIGHLIGHTS

  • who: Pin Ni from the Institute of Finance and Technology, University College London, London, UK have published the research: Knowledge Graph and Deep Learning-based Text-to-GQL Model for Intelligent Medical Consultation Chatbot, in the Journal: (JOURNAL)
  • what: To fill the gaps in this field to serve the medical Human-Robot Interactions (HRI) better the authors propose this task and a pipeline solution for the Text2GraphQL task. And the paper proposes a method to generate cross-domain training data, using data enhancement to improve model performance. This work compares two SLU models, rule-based . . .

     

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