@inproceedings{salton-etal-2017-idiom,
    title = "Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier",
    author = "Salton, Giancarlo  and
      Ross, Robert  and
      Kelleher, John",
    editor = "Mitkov, Ruslan  and
      Angelova, Galia",
    booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing, {RANLP} 2017",
    month = sep,
    year = "2017",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd.",
    url = "https://preview.aclanthology.org/ingest-emnlp/R17-1083/",
    doi = "10.26615/978-954-452-049-6_083",
    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."
}