A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

@inproceedings{Zhang2017ASA,
  title={A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification},
  author={Yingjie Zhang and Byron C. Wallace},
  booktitle={IJCNLP},
  year={2017}
}
Convolutional Neural Networks (CNNs) have recently achieved remarkably strong performance on sentence classification tasks (Kim, 2014; Kalchbrenner et al., 2014). However, these models require practitioners to specify the exact model architecture and accompanying hyperparameters, e.g., the choice of filter region size, regularization parameters, and so on… CONTINUE READING

28 Figures & Tables

Topics

Statistics

0501002015201620172018
Citations per Year

249 Citations

Semantic Scholar estimates that this publication has 249 citations based on the available data.

See our FAQ for additional information.