Browse State-of-the-Art › Patent classification
Patent classification
9 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
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.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (36 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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22 Mar 2021 2 repositories listedThis study provides an efficient approach for using text data to calculate patent-to-patent (p2p) technological similarity, and presents a hybrid framework for leveraging the resulting p2p similarity for applications…
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10 Dec 2024 1 repository listedIn this paper, we introduce IMPACT (Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents), a large-scale multimodal patent dataset with detailed captions for design patent figures.
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10 Aug 2023 1 repository listedFinally, we combine the contextual information of patent texts that contains the semantics of IPC codes, and assignees' sequential preferences to make predictions.
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4 Aug 2023 1 repository listedFinally, the patent application trend is predicted by aggregating the representations of the target company and classification codes from static, dynamic, and hierarchical perspectives.
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23 Mar 2023 1 repository listedUsing natural language processing techniques, we measure semantic similarity based on patent text and calculate technical similarity through the degree of coexistence of International patent classification (IPC) codes.
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14 Nov 2022 1 repository listedThis paper presents an automatic approach to creating taxonomies of technical terms based on the Cooperative Patent Classification (CPC).
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28 Apr 2022 1 repository listedTherefore, in this study, we provide an overview of the accuracy of these algorithms based on patent classification performance and propose a standard library and dataset for assessing the accuracy of embeddings models…
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1 Nov 2020 1 repository listedThis paper adds to the ongoing discussion in the natural language processing community on how to choose a good development set.
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14 May 2019 1 repository listedIn this work we focus on fine-tuning a pre-trained BERT model and applying it to patent classification.
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