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--- |
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language: |
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- en |
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license: |
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- apache-2.0 |
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task_categories: |
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- token-classification |
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pretty_name: 'Chemical Named Entity Recognition (CNER) Dataset for BatteryDataExtractor' |
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--- |
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# CNER Dataset |
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## Original Data Source |
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#### CHEMDNER |
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M. Krallinger, O. Rabal, F. Leitner, M. Vazquez, D. Salgado, |
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Z. Lu, R. Leaman, Y. Lu, D. Ji, D. M. Lowe et al., J. Cheminf., |
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2015, 7, 1–17. |
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#### MatScholar |
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I. Weston, V. Tshitoyan, J. Dagdelen, O. Kononova, A. Tre- |
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wartha, K. A. Persson, G. Ceder and A. Jain, J. Chem. Inf. |
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Model., 2019, 59, 3692–3702. |
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#### SOFC |
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A. Friedrich, H. Adel, F. Tomazic, J. Hingerl, R. Benteau, |
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A. Maruscyk and L. Lange, The SOFC-exp corpus and neural |
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approaches to information extraction in the materials science |
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domain, 2020, https://arxiv.org/abs/2006.03039. |
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#### BioNLP |
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G. Crichton, S. Pyysalo, B. Chiu and A. Korhonen, BMC Bioinf., |
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2017, 18, 1–14. |
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## Citation |
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BatteryDataExtractor: battery-aware text-mining software embedded with BERT models |
