Dataset of ‘A Literature Mining Method of Fusing Text and Table Extraction in Materials Science’

We propose a named entity recognition model for material text, called SciBERT-Fasttext-BiLSTM-CRF (SFBC). We used this model to identify named entities from texts in the stainless steel scientific literature and shared data on the frequency of occurrence of selected entities in this database between 2012 and 2021. By analysing the data in this dataset, researchers are able to understand the top research trends in stainless steel materials over the last decade.本研究提出一种面向材料文本的命名实体识别模型，命名为SciBERT-Fasttext-BiLSTM-CRF（简称SFBC）。我们借助该模型从不锈钢领域的科学文献文本中识别命名实体，并共享了2012至2021年间该数据库内选定实体的出现频次数据。通过对该数据集的数据分析，研究人员可洞悉近十年间不锈钢材料领域的核心研究趋势。