Dual-process system based on mixed semantic fusion for Chinese medical knowledge-based question answering

Dual-process system based on mixed semantic fusion for Chinese medical knowledge-based question answering

Chinese medical knowledge-based question answering (cMed-KBQA) is a vital component of the intelligence question-answering assignment. Its purpose is to enable the model to comprehend questions and then deduce the proper answer from the knowledge base. Previous methods solely considered how question...

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Bibliographic Details
Main Authors: Meiling Wang, Xiaohai He, Zhao Zhang, Luping Liu, Linbo Qing, Yan Liu
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
entity extraction
entity linking
path retrieval
path matching
semantic self-attention fusion
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023228?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023228?viewType=HTML

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