Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features

Barlas Oguz, Issac Alphonso, Shuangyu Chang. Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features. In Nelson Morgan, editor, Interspeech 2016, 17th Annual Conference of the International Speech Communication Association, San Francisco, CA, USA, September 8-12, 2016. pages 2328-2332, ISCA, 2016. [doi]

@inproceedings{OguzAC16,
  title = {Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features},
  author = {Barlas Oguz and Issac Alphonso and Shuangyu Chang},
  year = {2016},
  doi = {10.21437/Interspeech.2016-130},
  url = {http://dx.doi.org/10.21437/Interspeech.2016-130},
  researchr = {https://researchr.org/publication/OguzAC16},
  cites = {0},
  citedby = {0},
  pages = {2328-2332},
  booktitle = {Interspeech 2016, 17th Annual Conference of the International Speech Communication Association, San Francisco, CA, USA, September 8-12, 2016},
  editor = {Nelson Morgan},
  publisher = {ISCA},
}