VBSRL: A Semantic Frame-Based Approach for Data Extraction from Unstructured Business Documents

Simone Scannapieco, Andrea Ponza, Claudio Tomazzoli. VBSRL: A Semantic Frame-Based Approach for Data Extraction from Unstructured Business Documents. In Kohei Arai, editor, Intelligent Computing - Proceedings of the 2021 Computing Conference, Volume 1, SAI 2021, Virtual Event, 15-16 July, 2021. Volume 283 of Lecture Notes in Networks and Systems, pages 1030-1044, Springer, 2021. [doi]

@inproceedings{ScannapiecoPT21-0,
  title = {VBSRL: A Semantic Frame-Based Approach for Data Extraction from Unstructured Business Documents},
  author = {Simone Scannapieco and Andrea Ponza and Claudio Tomazzoli},
  year = {2021},
  doi = {10.1007/978-3-030-80119-9_68},
  url = {https://doi.org/10.1007/978-3-030-80119-9_68},
  researchr = {https://researchr.org/publication/ScannapiecoPT21-0},
  cites = {0},
  citedby = {0},
  pages = {1030-1044},
  booktitle = {Intelligent Computing - Proceedings of the 2021 Computing Conference, Volume 1, SAI 2021, Virtual Event, 15-16 July, 2021},
  editor = {Kohei Arai},
  volume = {283},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-030-80119-9},
}