Optimized Table Tokenization for Table Structure Recognition

Author:

Lysak MaksymORCID,Nassar AhmedORCID,Livathinos NikolaosORCID,Auer ChristophORCID,Staar PeterORCID

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Auer, C., Dolfi, M., Carvalho, A., Ramis, C.B., Staar, P.W.J.: Delivering document conversion as a cloud service with high throughput and responsiveness. CoRR abs/2206.00785 (2022). https://doi.org/10.48550/arXiv.2206.00785

2. LNCS;B Chen,2022

3. Chi, Z., Huang, H., Xu, H.D., Yu, H., Yin, W., Mao, X.L.: Complicated table structure recognition. arXiv preprint arXiv:1908.04729 (2019)

4. Deng, Y., Rosenberg, D., Mann, G.: Challenges in end-to-end neural scientific table recognition. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 894–901. IEEE (2019)

5. Kayal, P., Anand, M., Desai, H., Singh, M.: Tables to LaTeX: structure and content extraction from scientific tables. Int. J. Doc. Anal. Recognit. (IJDAR) 26, 1–10 (2022)

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