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Patent classification

Patent reviewers usually are responsible to classify the patent applications, i.e., they assign the design codes. This is time-consuming due to the numerous classification codes. For instance, the U.S. design patent system has 33 classes which are further divided into subclasses. Given that design patents include both titles and visual content, the goal of the experiment is patent classification by integrating titles, captions, and images. Although a single design patent can be associated with multiple design codes, we focus on the primary classification—solving the task as a multi-class classification problem.

Papers

Showing 3136 of 36 papers

TitleStatusHype
Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification0
Text Representations for Patent Classification0
The evolving boundary of green technology0
Automated Single-Label Patent Classification using Ensemble Classifiers0
BERT-CNN: a Hierarchical Patent Classifier Based on a Pre-Trained Language Model0
Classifying Patent Applications with Ensemble Methods0
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