ECO-DST: An Efficient Cross-lingual Dialogue State Tracking Framework

Chao Huang, Hui Di, Lina Wang, Kazushige Ouchi. ECO-DST: An Efficient Cross-lingual Dialogue State Tracking Framework. In MLMI 2021: The 4th International Conference on Machine Learning and Machine Intelligence, Hangzhou, China, September 17 - 19, 2021. pages 77-82, ACM, 2021. [doi]

@inproceedings{HuangDWO21,
  title = {ECO-DST: An Efficient Cross-lingual Dialogue State Tracking Framework},
  author = {Chao Huang and Hui Di and Lina Wang and Kazushige Ouchi},
  year = {2021},
  doi = {10.1145/3490725.3490737},
  url = {https://doi.org/10.1145/3490725.3490737},
  researchr = {https://researchr.org/publication/HuangDWO21},
  cites = {0},
  citedby = {0},
  pages = {77-82},
  booktitle = {MLMI 2021: The 4th International Conference on Machine Learning and Machine Intelligence, Hangzhou, China, September 17 - 19, 2021},
  publisher = {ACM},
  isbn = {978-1-4503-8424-7},
}