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Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot

A model for converting user questions into GQL statements for graph database retrieval.

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Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot

By Pin Ni, Ramin Okhrati, Sheng-Uei Guan, Victor ChangInformation Systems Frontiers
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The paper proposes a pipeline solution for the Text2GQL task, using an improved language model with pre-trained adapter plug-in and pointer network. The method enables efficient direct communication between humans and machines in medical Human-Robot Interactions (HRI).

Abstract

The paper proposes a pipeline solution for the Text2GQL task, using an improved language model with pre-trained adapter plug-in and pointer network. The method enables efficient direct communication between humans and machines in medical Human-Robot Interactions (HRI).

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text-to-graphqlnatural language processinggraph database retrievalmedical human-robot interactionsdeep learning modelKnowledge GraphsGraph DatabasesLarge Language ModelsSemantic Interoperability
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