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arXiv · 2203.16569

Generating Scientific Articles with Machine Learning

Eliot H. Ayache·Conor M. B. Omand
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Abstract

In recent years, the field of machine learning has seen rapid growth, with applications in a variety of domains, including image recognition, natural language processing, and predictive modeling. In this paper, we explore the application of machine learning to the generation of scientific articles. We present a method for using machine learning to generate scientific articles based on a data set of scientific papers. The method uses a machine-learning algorithm to learn the structure of a scientific article and a set of training data consisting of scientific papers. The machine-learning algorithm is used to generate a scientific article based on the data set of scientific papers. We evaluate the performance of the method by comparing the generated article to a set of manually written articles. The results show that the machine-generated article is of similar quality to the manually written articles.

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Eliot H. Ayache, Conor M. B. Omand. 2022-03-30. Generating Scientific Articles with Machine Learning. https://arxiv.org/abs/2203.16569

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