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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

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Showing 1–36 of 36 papers

TitleStatusHype
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design PatentsCode1
PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERTCode1
A Label Informative Wide \& Deep Classifier for Patents and Papers—0
Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification—0
A Convolutional Neural Network-based Patent Image Retrieval Method for Design Ideation—0
Semantic Similarity Matching for Patent Documents Using Ensemble BERT-related Model and Novel Text Processing Method—0
Solar cell patent classification method based on keyword extraction and deep neural network—0
Technical Progress Analysis Using a Dynamic Topic Model for Technical Terms to Revise Patent Classification Codes—0
Text Representations for Patent Classification—0
The evolving boundary of green technology—0
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis—0
Universal Language Model Fine-tuning for Patent Classification—0
Automated Single-Label Patent Classification using Ensemble Classifiers—0
BERT-CNN: a Hierarchical Patent Classifier Based on a Pre-Trained Language Model—0
Classifying Patent Applications with Ensemble Methods—0
DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level—0
Deep learning-based citation recommendation system for patents—0
Deep Learning for Technical Document Classification—0
Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices—0
Filtering Patent Maps for Visualization of Diversification Paths of Inventors and Organizations—0
Guiding Data-Driven Design Ideation by Knowledge Distance—0
Improving Patent Mining and Relevance Classification using Transformers—0
Innovative activities of Activision Blizzard: A patent network analysis—0
CinPatent: Datasets for Patent Classification—0
Long-run dynamics of the U.S. patent classification system—0
Multi label classification of Artificial Intelligence related patents using Modified D2SBERT and Sentence Attention mechanism—0
Patents Phrase to Phrase Semantic Matching Dataset—0
Research on feature fusion and multimodal patent text based on graph attention network—0
Retrouver l'inventeur-auteur : la levée d'homonymies d'autorat entre les brevets et les publications scientifiques—0
A Survey on Sentence Embedding Models Performance for Patent AnalysisCode0
A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological DistanceCode0
Event-based Dynamic Graph Representation Learning for Patent Application Trend PredictionCode0
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent ClassificationCode0
ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance EvaluationCode0
PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT ModelCode0
Technological taxonomies for hypernym and hyponym retrieval in patent textsCode0
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