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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 1120 of 36 papers

TitleStatusHype
DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level0
Deep learning-based citation recommendation system for patents0
Deep Learning for Technical Document Classification0
Universal Language Model Fine-tuning for Patent Classification0
Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices0
Filtering Patent Maps for Visualization of Diversification Paths of Inventors and Organizations0
Guiding Data-Driven Design Ideation by Knowledge Distance0
A Label Informative Wide \& Deep Classifier for Patents and Papers0
A Convolutional Neural Network-based Patent Image Retrieval Method for Design Ideation0
Improving Patent Mining and Relevance Classification using Transformers0
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