Using machine learning to cope with imbalanced classes in natural speech: evidence from sentence boundary and disfluency detection

Yang Liu, Elizabeth Shriberg, Andreas Stolcke, Mary P. Harper. Using machine learning to cope with imbalanced classes in natural speech: evidence from sentence boundary and disfluency detection. In INTERSPEECH 2004 - ICSLP, 8th International Conference on Spoken Language Processing, Jeju Island, Korea, October 4-8, 2004. pages 1525-1528, ISCA, 2004. [doi]

@inproceedings{LiuSSH04-0,
  title = {Using machine learning to cope with imbalanced classes in natural speech: evidence from sentence boundary and disfluency detection},
  author = {Yang Liu and Elizabeth Shriberg and Andreas Stolcke and Mary P. Harper},
  year = {2004},
  url = {http://www.isca-speech.org/archive/interspeech_2004/i04_1525.html},
  tags = {machine learning},
  researchr = {https://researchr.org/publication/LiuSSH04-0},
  cites = {0},
  citedby = {0},
  pages = {1525-1528},
  booktitle = {INTERSPEECH 2004 - ICSLP, 8th International Conference on Spoken Language Processing, Jeju Island, Korea, October 4-8, 2004},
  publisher = {ISCA},
}