The following our paper has been accepted for publication on Advance Engineering Informatics.
Kyosuke Yamaguchi, Ryoji Asahi, Yutaka Sasaki, Superconductivity information extraction from the literature: a new corpus and its evaluations, Advanced Engineering Informatics, Elsevier, 2022. (accepted)
This paper describes our up-to-date materials informatics studies on information extraction from superconductivity-related abstracts. We believe that this study opens the door to accelerate new material search by making the most of thousands of published materials science reports.
Actually, this paper passed the editor and went to the first round review of Nature Scientific Data. However, the paper did not fit the data availability condition for the journal. SciData requires our developed dataset must be completely free for anyone but our dataset is licensed under CC-NC due to the restriction of the copyrights of superconductivity-related abstracts. At the end of the day, we are happy as the Clarivate IF of the AEI journal is 7.86.