Crowd-OBIGA: A Crowdsourced Approach for Oracle Bone Inscriptions Glyph Annotation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-7244-5_34
Reference7 articles.
1. Xiong, J., Liu, G., Liu, Y., Liu, M.: Oracle bone inscriptions information processing based on multi-modal knowledge graph. Comput. Electric. Eng. 92 (2021). https://doi.org/10.1016/j.compeleceng.2021.107173
2. Xiong, J., Guo, T., Liu, J., Chen, Y.: OBSKP: oracle bone studies knowledge pyramid model with applications. Knowl 49(7), 483–495 (2022). https://doi.org/10.5771/0943-7444-2022-7-483
3. Liu, G.: Oracle bone text detection and recognition based on deep learning. Yindu J. 41(03), 54–59 (2020). https://doi.org/10.16140/j.cnki.ydxk.2020.03.011
4. Yinqi Wenyuan. http://jgw.aynu.edu.cn/. Accessed 5 June 2024
5. Dong, Z., Jiaheng, L., Ling, T.W., Fan, J., Chen, Y.: Using hybrid algorithmic-crowdsourcing methods for academic knowledge acquisition. Cluster Comput. 20(4), 3629–3641 (2017). https://doi.org/10.1007/s10586-017-1089-8
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