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