@InProceedings{konkol-EtAl:2017:I17-1,
  author    = {Konkol, Michal  and  Brychc\'{i}n, Tom\'{a}\v{s}  and  Nykl, Michal  and  Hercig, Tom\'{a}\v{s}},
  title     = {Geographical Evaluation of Word Embeddings},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {224--232},
  abstract  = {Word embeddings are commonly compared either with human-annotated word
	similarities or through improvements in natural language processing tasks. We
	propose a novel principle which compares the information from word embeddings
	with reality. We implement this principle by comparing the information in the
	word embeddings with geographical positions of cities. Our evaluation linearly
	transforms the semantic space to optimally fit the real positions of cities and
	measures the deviation between the position given by word embeddings and the
	real position. A set of well-known word embeddings with state-of-the-art
	results were evaluated. We also introduce a visualization that helps with error
	analysis.},
  url       = {http://www.aclweb.org/anthology/I17-1023}
}