METHOD, ELECTRONIC DEVICE, AND PROGRAM PRODUCT FOR GENERATING MACHINE LEARNING MODEL
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United States of America
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Mar 20, 2025
app pub date -
Oct 11, 2023
filing date -
Oct 11, 2023
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Abstract
Embodiments of the present disclosure relate to a method for generating a machine learning model. The method includes: encoding a decision tree using a graph neural network; inputting the encoded decision tree into a machine learning model; generating a question corresponding to each node of a root node and internal nodes of the decision tree using the machine learning model; inputting a natural language text to the machine learning model; and generating the machine learning model using the inputted natural language text and the generated question. According to embodiments of the present disclosure, a machine learning model that enables faster and more accurate provision of corresponding solutions based on the inputted natural language text can be realized.
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