Results 1 to 3 of about 4 (3)

Improving the Performance of a Korean Patent Document Search Model using KorPatBERT-based CPC Classification Model

Journal of Intellectual Property
The global competition for technological supremacy is intensifying, prompting every country to focus on securing technological advantages through patent acquisition. In this environment, efficient and accurate patent searching is a key factor for establishing national technological sovereignty and strengthening global competitiveness.
Jaeok Min, Hansung Noh, Minhak Kwak, Solbin Hwang, Taehoon Kim   +4 more
openaire   +3 more sources

A Contrastive Learning Patent Document Retrieval Model for Similar Patent Technologies Based on KorPatSTS

Journal of Intellectual Property
This study proposes an advanced deep-learning–based patent retrieval model, NCE-KorPat, and a high-quality training dataset, KorPatSTS (Korean Patent Semantic Textual Similarity), to more precisely assess grounds for rejection arising from technological ...
Jae-Ok Min, Sol-Bin Hwang, Young-Hoon Jeon, Song-A Chae, Bong-Gun Lee   +4 more
doaj   +1 more source

Constructing Korean Patent Retrieval Datasets to Improve Deep Learning-Based Patent Retrieval Performance: An Automated Methodology

Journal of Intellectual Property
Owing to the difficulty of constructing large-scale datasets and the scarcity of Korean-language resources, recent deep learning-based patent retrieval research gaces limitaions in improving model performance.
Dong-Uk Lee, Woo-Chul Sim, Jin-Woo Park, Bong-Gun Lee   +3 more
doaj   +1 more source