A Dynamic Convolutional Neural Network Approach for Legal Text Classification

Eya Hammami, Rim Faiz, Imen Akermi. A Dynamic Convolutional Neural Network Approach for Legal Text Classification. In Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Pierre-Emmanuel Arduin, editors, Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making - 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings. Volume 425 of Lecture Notes in Business Information Processing, pages 71-84, Springer, 2021. [doi]

@inproceedings{HammamiFA21-0,
  title = {A Dynamic Convolutional Neural Network Approach for Legal Text Classification},
  author = {Eya Hammami and Rim Faiz and Imen Akermi},
  year = {2021},
  doi = {10.1007/978-3-030-85977-0_6},
  url = {https://doi.org/10.1007/978-3-030-85977-0_6},
  researchr = {https://researchr.org/publication/HammamiFA21-0},
  cites = {0},
  citedby = {0},
  pages = {71-84},
  booktitle = {Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making - 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings},
  editor = {Inès Saad and Camille Rosenthal-Sabroux and Faiez Gargouri and Pierre-Emmanuel Arduin},
  volume = {425},
  series = {Lecture Notes in Business Information Processing},
  publisher = {Springer},
  isbn = {978-3-030-85977-0},
}