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AI for Patents: A Novel Yet Effective and Efficient Framework for Patent Analysis

  • Published:2022 Issue: Volume:10 Page:59205-59218
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Son Junyoung1ORCID,Moon Hyeonseok1ORCID,Lee Jeongwoo2,Lee Seolhwa3ORCID,Park Chanjun1ORCID,Jung Wonkyung4,Lim Heuiseok1ORCID

Affiliation:

1. Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea

2. Human-Inspired AI Research Institute, Seoul, Republic of Korea

3. Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

4. LG Innotek, Seoul, Republic of Korea

Funder

Ministry of Science and ICT MSIT

National Research Foundation of Korea NRF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference46 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Will AI solve the patent classification problem?;World Patent Information;2024-09

2. A large-scale Chinese patent dataset for information extraction;Systems Science & Control Engineering;2024-06-13

3. Enhancing patent text classification with Bi-LSTM technique and alpine skiing optimization for improved diagnostic accuracy;Multimedia Tools and Applications;2024-05-08

4. Artificial Intelligence Reducing the Intricacies of Patent Prior Art Search;2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2023-04-28
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