Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models

Yuta Niki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima. Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models. In Panagiotis Papapetrou, Xueqi Cheng, Qing He, editors, 2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019. pages 17-23, IEEE, 2019. [doi]

@inproceedings{NikiSIM19,
  title = {Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models},
  author = {Yuta Niki and Hiroki Sakaji and Kiyoshi Izumi and Hiroyasu Matsushima},
  year = {2019},
  doi = {10.1109/ICDMW.2019.00011},
  url = {https://doi.org/10.1109/ICDMW.2019.00011},
  researchr = {https://researchr.org/publication/NikiSIM19},
  cites = {0},
  citedby = {0},
  pages = {17-23},
  booktitle = {2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019},
  editor = {Panagiotis Papapetrou and Xueqi Cheng and Qing He},
  publisher = {IEEE},
  isbn = {978-1-7281-4896-0},
}