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.

本研究提出了一种针对材料文本的命名实体识别模型，命名为SciBERT-Fasttext-BiLSTM-CRF（简称SFBC）。本模型被应用于识别不锈钢科学文献中的命名实体，并在此数据库中共享了2012年至2021年间所选实体出现的频率数据。通过分析该数据集中的数据，研究者能够洞悉过去十年不锈钢材料领域的主要研究趋势。