ISCA Archive Interspeech 2014
ISCA Archive Interspeech 2014

Learning phrase patterns for text classification using a knowledge graph and unlabeled data

Alex Marin, Roman Holenstein, Ruhi Sarikaya, Mari Ostendorf

This paper explores a novel method for learning phrase pattern features for text classification, employing a mapping of selected words into a knowledge graph and self-training over unlabeled data. Using Support Vector Machine classification, we obtain improvements over lexical and fully-supervised phrase pattern features in domain and intent detection for language understanding, particularly in conjunction with the use of unlabeled data. Our best results are obtained using unlabeled data filtered for both model training and feature learning based on the confidence of the baseline classifiers.


doi: 10.21437/Interspeech.2014-63

Cite as: Marin, A., Holenstein, R., Sarikaya, R., Ostendorf, M. (2014) Learning phrase patterns for text classification using a knowledge graph and unlabeled data. Proc. Interspeech 2014, 253-257, doi: 10.21437/Interspeech.2014-63

@inproceedings{marin14_interspeech,
  author={Alex Marin and Roman Holenstein and Ruhi Sarikaya and Mari Ostendorf},
  title={{Learning phrase patterns for text classification using a knowledge graph and unlabeled data}},
  year=2014,
  booktitle={Proc. Interspeech 2014},
  pages={253--257},
  doi={10.21437/Interspeech.2014-63},
  issn={2308-457X}
}