SOTAVerified

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
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis0
Universal Language Model Fine-tuning for Patent Classification0
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
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
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
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.