@InProceedings{salton-ross-kelleher:2017:RANLP,
  author    = {Salton, Giancarlo  and  Ross, Robert  and  Kelleher, John},
  title     = {Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {642--651},
  abstract  = {In our work we address limitations in the state-of-the-art in idiom type
	identification. We investigate different approaches for a lexical fixedness
	metric, a component of the state-of the-art model. We also show that our
	Machine Learning based approach to the idiom type identification task achieves
	an F1-score of 0.85, an improvement of 11 points over the state-of the-art.
	Author{2}{Affiliation}},
  url       = {https://doi.org/10.26615/978-954-452-049-6_083}
}