1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
ClaimBrush: A Novel Framework for Automated Patent Claim Refinement Based on Large Language Models
Seiya Kawano, Hirofumi Nonaka, Koichiro Yoshino
Automatic refinement of patent claims in patent applications is crucial from the perspective of intellectual property strategy. In this paper, we propose ClaimBrush, a novel framew…
cs.LG2024★ 1 cited
Extraction of Research Objectives, Machine Learning Model Names, and Dataset Names from Academic Papers and Analysis of Their Interrelationships Using LLM and Network Analysis
S. Nishio, H. Nonaka, N. Tsuchiya +6
Machine learning is widely utilized across various industries. Identifying the appropriate machine learning models and datasets for specific tasks is crucial for the effective indu…