Extraction of Important Pages of Shareholder Convocation Notices Using Deep Learning by Automatic Generation of Training Data
Author:
Affiliation:
1. Graduate School of Science and Technology, Seikei University
2. Seikei University
3. Nomura Asset Management Co, ltd.
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/36/1/36_36-1_WI2-G/_pdf
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3. [Lample 16] Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., and Dyer, C.: Neural architectures for named entity recognition, in Proceedings of NAACL 2016, pp. 260-270 (2016)
4. [Ratinov 09] Ratinov, L. and Roth, D.: Design challenges and misconceptions in named entity recognition, in Proceedings of the 13th Conference on Computational Natural Language Learning (CoNLL-2009), pp. 147-155 (2009)
5. [Sakaji 17] Sakaji, H., Murono, R., Sakai, H., Bennett, J., and Izumi, K.: Discovery of rare causal knowledge from financial statement summaries, in IEEE Symposium on Computational Intelligence for Financial Engineering & Economics, pp.602–608 (2017)
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