人工智能如何增加科学文献的收藏

Mokeddem Allal
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引用次数: 0

摘要

本文描述了人工智能(AI)对文献收集过程的贡献,该过程变得更加高效和同质。在这种情况下,研究人员将接受他的文献不仅根据他的领域。此外,文学作品与科学和学术抱负密切相关。人工智能通过其深度学习技术,通过标注与该领域相关的学名和非学名的方法,提供了加速收集增强文献的过程的可能性。人工智能提供原创或复制的研究途径,并提供可靠和精确的结果。在本文中,我们强调了如何基于与专业领域相关的科学和非科学名称开发概念框架,所有这些都确保了研究的可重复性,可靠性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Artificial Intelligence Can Augment the Collection of Scientific Literature
This article describes the contribution of artificial intelligence (AI) to the literature collection process, which has become more efficient and more homogeneous. In this context, the researcher will receive his literature not only according to his field. Moreover, the literature is strongly linked to scientific and academic ambitions. AI through its deep learning techniques offers the possibility of speeding up the process of collecting augmented literature via an approach based on the annotation of scientific names and none-scientific names related to the field. AI provides original or reproduced research avenues with reliable and precise results. In this article, we have highlighted how to develop conceptual framework based on scientific and none-scientific names related to the area of expertise, all ensuring the reproducibility, reliability and accuracy of the study.
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