Using BERT and TF-IDF to Predict Entailment in Law-Based Queries

Arman Aydemir, Pedro de Castro Souza, Andrew Gelfman. Using BERT and TF-IDF to Predict Entailment in Law-Based Queries. In Naoaki Okazaki, Katsutoshi Yada, Ken Satoh, Koji Mineshima, editors, New Frontiers in Artificial Intelligence - JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, Virtual Event, November 15-17, 2020, Revised Selected Papers. Volume 12758 of Lecture Notes in Computer Science, pages 286-293, Springer, 2020. [doi]

@inproceedings{AydemirSG20,
  title = {Using BERT and TF-IDF to Predict Entailment in Law-Based Queries},
  author = {Arman Aydemir and Pedro de Castro Souza and Andrew Gelfman},
  year = {2020},
  doi = {10.1007/978-3-030-79942-7_19},
  url = {https://doi.org/10.1007/978-3-030-79942-7_19},
  researchr = {https://researchr.org/publication/AydemirSG20},
  cites = {0},
  citedby = {0},
  pages = {286-293},
  booktitle = {New Frontiers in Artificial Intelligence - JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, Virtual Event, November 15-17, 2020, Revised Selected Papers},
  editor = {Naoaki Okazaki and Katsutoshi Yada and Ken Satoh and Koji Mineshima},
  volume = {12758},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-79942-7},
}