@InProceedings{roller-kiela-nickel:2018:Short,
  author    = {Roller, Stephen  and  Kiela, Douwe  and  Nickel, Maximilian},
  title     = {Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {358--363},
  abstract  = {Methods for unsupervised hypernym detection may broadly be categorized according to two paradigms: pattern-based and distributional methods. In this paper, we study the performance of both approaches on several hypernymy tasks and find that simple pattern-based methods consistently outperform distributional methods on common benchmark datasets. Our results show that pattern-based models provide important contextual constraints which are not yet captured in distributional methods.},
  url       = {http://www.aclweb.org/anthology/P18-2057}
}