@InProceedings{kutuzov-kuzmenko-marakasova:2016:LT4DH,
  author    = {Kutuzov, Andrey  and  Kuzmenko, Elizaveta  and  Marakasova, Anna},
  title     = {Exploration of register-dependent lexical semantics using word embeddings},
  booktitle = {Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {26--34},
  abstract  = {We present an approach to detect differences in lexical semantics across
	English language registers, using word embedding models from distributional
	semantics paradigm. Models trained on register-specific subcorpora of the BNC
	corpus are employed to compare lists of nearest associates for particular words
	and draw conclusions about their semantic shifts depending on register in which
	they are used. The models are evaluated on the task of register classification
	with the help of the deep inverse regression approach.
	Additionally, we present a demo web service featuring most of the described
	models and allowing to explore word meanings in different English registers and
	to detect register affiliation for arbitrary texts. The code for the service
	can be easily adapted to any set of underlying models.},
  url       = {http://aclweb.org/anthology/W16-4005}
}