Data Augmentation for Spoken Language Understanding via Pretrained Language Models

Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao. Data Augmentation for Spoken Language Understanding via Pretrained Language Models. In Hynek Hermansky, Honza Cernocký, Lukás Burget, Lori Lamel, Odette Scharenborg, Petr Motlícek, editors, Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021. pages 1219-1223, ISCA, 2021. [doi]

@inproceedings{PengZZG21,
  title = {Data Augmentation for Spoken Language Understanding via Pretrained Language Models},
  author = {Baolin Peng and Chenguang Zhu and Michael Zeng and Jianfeng Gao},
  year = {2021},
  doi = {10.21437/Interspeech.2021-117},
  url = {https://doi.org/10.21437/Interspeech.2021-117},
  researchr = {https://researchr.org/publication/PengZZG21},
  cites = {0},
  citedby = {0},
  pages = {1219-1223},
  booktitle = {Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021},
  editor = {Hynek Hermansky and Honza Cernocký and Lukás Burget and Lori Lamel and Odette Scharenborg and Petr Motlícek},
  publisher = {ISCA},
}