Before revision:  In this approach, we used the Transformer model as the distance function in KNN, and proposed a new version of KNN based on Augmented SBERT. Practical Implications: The presented framework provides a practical model for patent classification. In this study, we predict the class and subclass of the patent based on semantic claims similarity.
After revision:  In the patent based on semantic claims similarity.