A document-level information extraction pipeline for layered cathode materials for sodium-ion batteries
Yuxiao Gou,
Yiping Zhang,
Jian Zhu
et al.
Abstract:Natural language processing techniques enable extraction of valuable information from large amounts of published literature for the application of data science and technology, i.e. machine learning in the field of materials science. Nevertheless, the automated extraction of data from full-text documents remains a complex task. We propose a document-level natural language processing pipeline for literature extraction of comprehensive information on layered cathode materials for sodium-ion batteries. The pipelin… Show more
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