Extraction and Analysis of Electrocatalytic Material Literature Information Based on the BERT Language Model
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.
Bidirectional Encoder Representations from Transformerselectrocatalytic materialsartificial neural networks
NETL
NSTL
万方数据
