摘要
开发了自动化文献数据提取和分析管道,该管道能够自动识别和提取文献中的关键实体和关系,包括催化剂名称、所催化的反应、催化性能等信息.利用自然语言处理(NLP)技术,从文献中自动提取电催化材料的性能数据并进行分析,为研究人员全面准确地总结前人研究成果,为开展更有创新性和更可能产生突破的研究提供重要参考信息.
The article developed an automated literature data extraction and analysis pipeline,which can automatically identify and extract key entities and relationships from the literature,including catalyst names,catalyzed reactions,catalytic performance,and other information.By utilizing Natural Language Processing(NLP)technology,it automatically extracts performance data of electro-catalytic materials from the literature and establishes a database,providing researchers with comprehensive and accurate summaries of previous research.This serves as a crucial reference for conducting more innovative and potentially breakthrough research.
作者
秦娜
陈海标
卫来
Qin Na;Chen Haibiao;Wei Lai(Xinjiang Laboratory of Phase Transitions and Microstructures in Condensed Matters,College of Physical Science and Technology,Yili Normal University,Yining,Xinjiang 835000,China)
出处
《伊犁师范大学学报（自然科学版）》
2024年第2期80-84,共5页
Journal of Yili Normal University：Natural Science Edition
基金
深圳市国际合作研究项目(GJHZ20220913142807014)
伊犁师范大学提升学科综合实力专项自科重点项目(22XKZZ24).
关键词
BERT
电催化材料
人工神经网络
Bidirectional Encoder Representations from Transformers
electrocatalytic materials
artificial neural networks
