基于深度学习的高校学术论文评价创新方法

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI:10.1109/AIAM54119.2021.00097

Jinhang Liu

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引用次数: 0

摘要

论文作为一种知识形式，是科学研究的阶段性成果。充分利用人工智能及其深度学习等方式，建立科学创新的学术论文评价体系，具有重要的价值。在高校学术论文创新评价中，通过建立学术论文的特征，构建学术论文所包含的各种知识要素的数据模型。通过提取创新句构建句子级学术论文语料库，基于创新知识元素和结论知识单元数据模型，实例化创新句和结论句。利用深度学习方法分析和训练优秀论文的评价模式和特征是一种有效的尝试。

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Innovative Evaluation Method of Academic Papers in Colleges and Universities Based on Deep Learning

As a form of knowledge, thesis is a staged result of scientific research. It is of great value to make full use of artificial intelligence and its deep learning and other ways to establish a scientific innovation system of evaluation for academic papers. In the innovation evaluation of academic papers in colleges and universities, the data models of various knowledge elements contained in academic papers are constructed by establishing the characteristics of academic papers. By extracting innovative sentences to construct a sentence-level corpus of academic papers, based on innovative knowledge elements and conclusion knowledge unit data models, innovative sentences and concluding sentences are instantiated. It is an effective attempt to analyze and train the evaluation mode and characteristics of excellent papers by deep learning method.

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2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)

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