2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Design of reliable technology valuation model with calibrated machine learning of patent indicators
Seunghyun Lee, Janghyeok Yoon, Jaewoong Choi
Machine learning (ML) has revolutionized the digital transformation of technology valuation by predicting the value of patents with high accuracy. However, the lack of validation r…
cs.CL2024★ 1 cited
MaTableGPT: GPT-based Table Data Extractor from Materials Science Literature
Gyeong Hoon Yi, Jiwoo Choi, Hyeongyun Song +9
Efficiently extracting data from tables in the scientific literature is pivotal for building large-scale databases. However, the tables reported in materials science papers exist i…
cs.CL2023★ 2 cited
Accelerated materials language processing enabled by GPT
Jaewoong Choi, Byungju Lee
Materials language processing (MLP) is one of the key facilitators of materials science research, as it enables the extraction of structured information from massive materials scie…