@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://doi.org/10.26615/978-954-452-049-6_083",
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.",
}
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%0 Conference Proceedings
%T Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier
%A Salton, Giancarlo
%A Ross, Robert
%A Kelleher, John
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
%D 2017
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F salton-etal-2017-idiom
%X 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.
%R 10.26615/978-954-452-049-6_083
%U https://doi.org/10.26615/978-954-452-049-6_083
%P 642-651
Markdown (Informal)
[Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier](https://doi.org/10.26615/978-954-452-049-6_083) (Salton et al., RANLP 2017)
ACL