Question Answering with Character-Level LSTM Encoders and Model-Based Data Augmentation

Runze Wang, Chen-Di Zhan, Zhen-Hua Ling. Question Answering with Character-Level LSTM Encoders and Model-Based Data Augmentation. In Maosong Sun, Xiaojie Wang, Baobao Chang, Deyi Xiong, editors, Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 16th China National Conference, CCL 2017, - and - 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings. Volume 10565 of Lecture Notes in Computer Science, pages 295-305, Springer, 2017. [doi]

@inproceedings{WangZL17-14,
  title = {Question Answering with Character-Level LSTM Encoders and Model-Based Data Augmentation},
  author = {Runze Wang and Chen-Di Zhan and Zhen-Hua Ling},
  year = {2017},
  doi = {10.1007/978-3-319-69005-6_25},
  url = {https://doi.org/10.1007/978-3-319-69005-6_25},
  researchr = {https://researchr.org/publication/WangZL17-14},
  cites = {0},
  citedby = {0},
  pages = {295-305},
  booktitle = {Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 16th China National Conference, CCL 2017, - and - 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings},
  editor = {Maosong Sun and Xiaojie Wang and Baobao Chang and Deyi Xiong},
  volume = {10565},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-69005-6},
}