@InProceedings{shwartz-dagan:2016:CogALex-V1,
  author    = {Shwartz, Vered  and  Dagan, Ido},
  title     = {Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations},
  booktitle = {Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {24--29},
  abstract  = {Recognizing various semantic relations between terms is beneficial for many NLP
	tasks. While path-based and distributional information sources are considered
	complementary for this task, the superior results the latter showed recently
	suggested that the former’s contribution might have become obsolete. We
	follow the recent success of an integrated neural method for hypernymy
	detection (Shwartz et al., 2016) and extend it to recognize multiple relations.
	The empirical results show that this method is effective in the multiclass
	setting as well. We further show that the path-based information source always
	contributes to the classification, and analyze the cases in which it mostly
	complements the distributional information.},
  url       = {http://aclweb.org/anthology/W16-5304}
}