@inproceedings{hearst1992automatic,
  abstract = {We describe a method for the automatic acquisition of the hyponymy lexical relation from unrestricted text. Two goals motivate the approach: (i) avoidance of the need for pre-encoded knowledge and (ii) applicability across a wide range of text. We identify a set of lexico-syntactic patterns that are easily recognizable, that occur frequently and across text genre boundaries, and that indisputably indicate the lexical relation of interest. We describe a method for discovering these patterns and suggest that other lexical relations will also be acquirable in this way. A subset of the acquisition algorithm is implemented and the results are used to augment and critique the structure of a large hand-built thesaurus. Extensions and applications to areas such as information retrieval are suggested.},
  acmid = {992154},
  address = {Stroudsburg, PA, USA},
  author = {Hearst, Marti A.},
  booktitle = {Proceedings of the 14th conference on Computational linguistics},
  doi = {10.3115/992133.992154},
  interhash = {8c1e90c6cc76625c34f20370a1af7ea2},
  intrahash = {2c49ad19ac6977bd806b6687e4dcc550},
  location = {Nantes, France},
  numpages = {7},
  pages = {539--545},
  publisher = {Association for Computational Linguistics},
  title = {Automatic acquisition of hyponyms from large text corpora},
  url = {http://dx.doi.org/10.3115/992133.992154},
  volume = 2,
  year = 1992
}