@InProceedings{rogers-drozd-li:2017:starSEM,
  author    = {Rogers, Anna  and  Drozd, Aleksandr  and  Li, Bofang},
  title     = {The (too Many) Problems of Analogical Reasoning with Word Vectors},
  booktitle = {Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {135--148},
  abstract  = {This paper explores the possibilities of analogical reasoning with vector space
	models. Given two pairs of words with the same relation (e.g. man:woman ::
	king:queen), it was proposed that the offset between one pair of the
	corresponding word vectors can be used to identify the unknown member of the
	other pair (king - man + woman = queen). We argue against such "linguistic
	regularities" as a model for linguistic relations in vector space models and as
	a benchmark, and we show that the vector offset (as well as two other,
	better-performing methods) suffers from dependence on vector similarity.},
  url       = {http://www.aclweb.org/anthology/S17-1017}
}