Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network

Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, Junhua Ding

Abstract: Highlights•Define four criteria for quality evaluation of scientific papers: integrity, clarity, novelty, and significance.•Propose a framework for quality evaluation of scientific papers based on coarse features and knowledge entity network.•An effective algorithm for measuring the novelty and significance of scientific papers based on knowledge entity networks.•Create and release a rigorous dataset, which could serve as the gold standard for quality evaluation of scientific papers.•Conduct extensive experiments to validate the effectiveness of the proposed framework.