@InProceedings{wroblewska-krasnowskakieras:2017:Long,
  author    = {Wr\'{o}blewska, Alina  and  Krasnowska-Kiera\'{s}, Katarzyna},
  title     = {Polish evaluation dataset for compositional distributional semantics models},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {784--792},
  abstract  = {The paper presents a procedure of building an evaluation dataset. for the
	validation of compositional distributional semantics models estimated for
	languages other than English. The procedure generally builds on steps designed
	to assemble the SICK corpus, which contains pairs of English sentences
	annotated for semantic relatedness and entailment, because we aim at building a
	comparable dataset. However, the implementation of particular building steps
	significantly differs from the original SICK design assumptions, which is
	caused by both lack of necessary extraneous resources for an investigated
	language and the need for language-specific transformation rules. The designed
	procedure is verified on Polish, a fusional language with a relatively free
	word order, and contributes to building a Polish evaluation dataset. The
	resource consists of 10K sentence pairs which are human-annotated for semantic
	relatedness and entailment. The dataset may be used for the evaluation of
	compositional distributional semantics models of Polish.},
  url       = {http://aclweb.org/anthology/P17-1073}
}