@InProceedings{kutuzov-kuzmenko-pivovarova:2017:BSNLP,
  author    = {Kutuzov, Andrey  and  Kuzmenko, Elizaveta  and  Pivovarova, Lidia},
  title     = {Clustering of Russian Adjective-Noun Constructions using Word Embeddings},
  booktitle = {Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  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.},
  url       = {http://www.aclweb.org/anthology/W17-1402}
}