从专利和科学出版物中提取生物医学信息的方法(以化合物为例)

Discrete and Continuous Models and Applied Computational Science Pub Date : 2023-03-30 DOI:10.22363/2658-4670-2023-31-1-64-74

Nikolay A. Kolpakov, A. Molodchenkov, Anton V. Lukin

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引用次数: 0

摘要

本文提出了一种从生物医学专利和科学出版物中提取信息的算法。所介绍的算法是基于机器学习方法的。实验是在USPTO数据库中的专利上进行的。实验结果表明，基于BioBERT模型的提取效果最好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Methods of extracting biomedical information from patents and scientific publications (on the example of chemical compounds)

This article proposes an algorithm for solving the problem of extracting information from biomedical patents and scientific publications. The introduced algorithm is based on machine learning methods. Experiments were carried out on patents from the USPTO database. Experiments have shown that the best extraction quality was achieved by a model based on BioBERT.

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