@inproceedings{848169a53c9e4892957c9873f197437c,
title = "Multimodal Deep Learning for Patent Classification",
abstract = "The global technology market is changing rapidly. Organizations need strategies to increase their competitiveness. Technology transfer is an effective tool for them to plan for intellectual property research and development. Prediction of technology transfer leads to efficient results. For this, we propose multimodal learning. The model utilizes the quantitative information and text of the patent. Unlike the previous studies, it uses the architecture of deep learning. The model was tested for practical applicability through patent data. As a result, it showed higher performance than other models.",
keywords = "Multimodal learning, Patent classification, Technology transfer",
author = "Juhyun Lee and Junseok Lee and Jiho Kang and Youngho Kim and Dongsik Jang and Sangsung Park",
note = "Funding Information: Acknowledgements This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Republic of Korea government (MSIT) (No. NRF– 2020R1A2C1005918). This research was supported by the MOTIE (Ministry of Trade, Industry, and Energy) in Korea, under the Fostering Global Talents for Innovative Growth Program (P0008749) supervised by the Korea Institute for Advancement of Technology (KIAT). Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 6th International Congress on Information and Communication Technology, ICICT 2021 ; Conference date: 25-02-2021 Through 26-02-2021",
year = "2022",
doi = "10.1007/978-981-16-2102-4_26",
language = "English",
isbn = "9789811621017",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "281--289",
editor = "Xin-She Yang and Simon Sherratt and Nilanjan Dey and Amit Joshi",
booktitle = "Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021",
address = "Germany",
}