@inproceedings{kutuzov-etal-2017-clustering,
    title = "Clustering of {R}ussian Adjective-Noun Constructions using Word Embeddings",
    author = "Kutuzov, Andrey  and
      Kuzmenko, Elizaveta  and
      Pivovarova, Lidia",
    editor = "Erjavec, Toma{\v{z}}  and
      Piskorski, Jakub  and
      Pivovarova, Lidia  and
      {\v{S}}najder, Jan  and
      Steinberger, Josef  and
      Yangarber, Roman",
    booktitle = "Proceedings of the 6th Workshop on {B}alto-{S}lavic Natural Language Processing",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W17-1402",
    doi = "10.18653/v1/W17-1402",
    pages = "3--13",
    abstract = "This paper presents a method of automatic construction extraction from a large corpus of Russian. The term {`}construction{'} here means a multi-word expression in which a variable can be replaced with another word from the same semantic class, for example, {`}a glass of [water/juice/milk]{'}. We deal with constructions that consist of a noun and its adjective modifier. We propose a method of grouping such constructions into semantic classes via 2-step clustering of word vectors in distributional models. We compare it with other clustering techniques and evaluate it against A Russian-English Collocational Dictionary of the Human Body that contains manually annotated groups of constructions with nouns meaning human body parts. The best performing method is used to cluster all adjective-noun bigrams in the Russian National Corpus. Results of this procedure are publicly available and can be used for building Russian construction dictionary as well as to accelerate theoretical studies of constructions.",
}