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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 21–30 of 36 papers

TitleStatusHype
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
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