Author:
Zhang Junwei,Wang Hao,Luo Xiangfeng
Publisher
Springer Nature Switzerland
Reference22 articles.
1. Liu, X., Gao, F., Zhang, Q., Zhao, H.: Graph convolution for multimodal information extraction from visually rich documents. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers), pp. 32–39 (2019)
2. Katti, A.R., et al.: Chargrid: Towards understanding 2D documents. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 4459–4469 (2018)
3. Simon, A., Pret, J.C., Johnson, A.P.: A fast algorithm for bottom-up document layout analysis, vol. 19, pp. 273–277. IEEE (1997)
4. Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., Dyer, C.: Neural architectures for named entity recognition. In: Proceedings of NAACL-HLT, pp. 260–270 (2016)
5. Qian, Y., Santus, E., Jin, Z., Guo, J., Barzilay, R.: Graphie: a graph-based framework for information extraction. In: Proceedings of NAACL-HLT, pp. 751–761 (2019)