@inproceedings{lin1998automatic,
  abstract = {Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of words. The similarity measure allows us to construct a thesaurus using a parsed corpus. We then present a new evaluation methodology for the automatically constructed thesaurus. The evaluation results show that the thesaurus is significantly closer to WordNet than Roget Thesaurus is.},
  address = {Morristown, NJ, USA},
  author = {Lin, Dekang},
  booktitle = {Proceedings of the 17th international conference on Computational linguistics},
  doi = {http://dx.doi.org/10.3115/980691.980696},
  interhash = {686133b216cc5960608af406a8f52287},
  intrahash = {3b08719db9a27c9e8fa0d5d8f5c19a10},
  location = {Montreal, Quebec, Canada},
  pages = {768--774},
  publisher = {Association for Computational Linguistics},
  title = {Automatic retrieval and clustering of similar words},
  url = {http://portal.acm.org/citation.cfm?id=980696},
  year = 1998
}