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