The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain
Paper • 2006.03039 • Published
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CNER Dataset
Original Data Source
CHEMDNER
M. Krallinger, O. Rabal, F. Leitner, M. Vazquez, D. Salgado, Z. Lu, R. Leaman, Y. Lu, D. Ji, D. M. Lowe et al., J. Cheminf., 2015, 7, 1–17.
MatScholar
I. Weston, V. Tshitoyan, J. Dagdelen, O. Kononova, A. Tre- wartha, K. A. Persson, G. Ceder and A. Jain, J. Chem. Inf. Model., 2019, 59, 3692–3702.
SOFC
A. Friedrich, H. Adel, F. Tomazic, J. Hingerl, R. Benteau, A. Maruscyk and L. Lange, The SOFC-exp corpus and neural approaches to information extraction in the materials science domain, 2020, https://arxiv.org/abs/2006.03039.
BioNLP
G. Crichton, S. Pyysalo, B. Chiu and A. Korhonen, BMC Bioinf., 2017, 18, 1–14.
Citation
BatteryDataExtractor: battery-aware text-mining software embedded with BERT models
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