Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network

ACL 2018 Pengcheng YangXu SunWei LiShuming Ma

As more and more academic papers are being submitted to conferences and journals, evaluating all these papers by professionals is time-consuming and can cause inequality due to the personal factors of the reviewers. In this paper, in order to assist professionals in evaluating academic papers, we propose a novel task: automatic academic paper rating (AAPR), which automatically determine whether to accept academic papers... (read more)

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