Legal Textual Entailment Using Ensemble of Rule-Based and BERT-Based Method with Data Augmentation by Related Article Generation

Masaki Fujita, Takaaki Onaga, Ayaka Ueyama, Yoshinobu Kano. Legal Textual Entailment Using Ensemble of Rule-Based and BERT-Based Method with Data Augmentation by Related Article Generation. In Yasufumi Takama, Katsutoshi Yada, Ken Satoh, Sachiyo Arai, editors, New Frontiers in Artificial Intelligence - JSAI-isAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session, Kyoto, Japan, June 12-17, 2022, Revised Selected Papers. Volume 13859 of Lecture Notes in Computer Science, pages 138-153, Springer, 2022. [doi]

@inproceedings{FujitaOUK22,
  title = {Legal Textual Entailment Using Ensemble of Rule-Based and BERT-Based Method with Data Augmentation by Related Article Generation},
  author = {Masaki Fujita and Takaaki Onaga and Ayaka Ueyama and Yoshinobu Kano},
  year = {2022},
  doi = {10.1007/978-3-031-29168-5_10},
  url = {https://doi.org/10.1007/978-3-031-29168-5_10},
  researchr = {https://researchr.org/publication/FujitaOUK22},
  cites = {0},
  citedby = {0},
  pages = {138-153},
  booktitle = {New Frontiers in Artificial Intelligence - JSAI-isAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session, Kyoto, Japan, June 12-17, 2022, Revised Selected Papers},
  editor = {Yasufumi Takama and Katsutoshi Yada and Ken Satoh and Sachiyo Arai},
  volume = {13859},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-29168-5},
}