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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 2130 of 36 papers

TitleStatusHype
Solar cell patent classification method based on keyword extraction and deep neural network0
Deep Learning for Technical Document Classification0
Improving Patent Mining and Relevance Classification using Transformers0
PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERTCode1
Technical Progress Analysis Using a Dynamic Topic Model for Technical Terms to Revise Patent Classification Codes0
ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance EvaluationCode0
Deep learning-based citation recommendation system for patents0
A Convolutional Neural Network-based Patent Image Retrieval Method for Design Ideation0
BERT-CNN: a Hierarchical Patent Classifier Based on a Pre-Trained Language Model0
A Label Informative Wide \& Deep Classifier for Patents and Papers0
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