PopEval: A Character-Level Approach to End-to-End Evaluation Compatible with Word-Level Benchmark Dataset

Hong-Seok Lee, Youngmin Yoon, Pil-Hoon Jang, Chankyu Choi. PopEval: A Character-Level Approach to End-to-End Evaluation Compatible with Word-Level Benchmark Dataset. In 2019 International Conference on Document Analysis and Recognition, ICDAR 2019, Sydney, Australia, September 20-25, 2019. pages 1207-1213, IEEE, 2019. [doi]

@inproceedings{LeeYJC19,
  title = {PopEval: A Character-Level Approach to End-to-End Evaluation Compatible with Word-Level Benchmark Dataset},
  author = {Hong-Seok Lee and Youngmin Yoon and Pil-Hoon Jang and Chankyu Choi},
  year = {2019},
  doi = {10.1109/ICDAR.2019.00195},
  url = {https://doi.org/10.1109/ICDAR.2019.00195},
  researchr = {https://researchr.org/publication/LeeYJC19},
  cites = {0},
  citedby = {0},
  pages = {1207-1213},
  booktitle = {2019 International Conference on Document Analysis and Recognition, ICDAR 2019, Sydney, Australia, September 20-25, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-3014-9},
}