Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.
semanticscholar(2020)
摘要
The main advantage of modern natural language processing methods is a possibility to turn an amorphous
human-readable task into a strict mathematic form. That allows to extract chemical data and insights from
articles and to find new semantic relations. We propose a universal engine for processing chemical and
biological texts. We successfully tested it on various use-cases and applied to a case of searching a
therapeutic agent for a COVID-19 disease by analyzing PubMed archive.
更多查看译文
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要