@inproceedings{loukachevitch-gerasimova-2017-human,
    title = "Human Associations Help to Detect Conventionalized Multiword Expressions",
    author = "Loukachevitch, Natalia  and
      Gerasimova, Anastasia",
    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/fix-sig-urls/R17-1061/",
    doi = "10.26615/978-954-452-049-6_061",
    pages = "459--466",
    abstract = "In this paper we show that if we want to obtain human evidence about conventionalization of some phrases, we should ask native speakers about associations they have to a given phrase and its component words. We have shown that if component words of a phrase have each other as frequent associations, then this phrase can be considered as conventionalized. Another type of conventionalized phrases can be revealed using two factors: low entropy of phrase associations and low intersection of component word and phrase associations. The association experiments were performed for the Russian language."
}