@book{wordnet,
  abstract = {WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics, text analysis, and many related areas. Its design is inspired by current psycholinguistic and computational theories of human lexical memory. English nouns, verbs, adjectives, and adverbs are organized into synonym sets, each representing one underlying lexicalized concept. Different relations link the synonym sets.

The purpose of this volume is twofold. First, it discusses the design of WordNet and the theoretical motivations behind it. Second, it provides a survey of representative applications, including word sense identification, information retrieval, selectional preferences of verbs, and lexical chains.},
  address = {Cambridge, MA},
  editor = {Fellbaum, Christiane},
  interhash = {42daa1681607dd1d3f3234c605d84ec3},
  intrahash = {2e282d8bb3aa81b255b179c0772b3bf7},
  isbn = {978-0-262-06197-1},
  month = May,
  publisher = {The MIT Press},
  title = {WordNet An Electronic Lexical Database },
  url = {http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=8106},
  year = 1998
}

@inproceedings{hotho03wordnet,
  address = {Toronto},
  author = {Hotho, A and Staab, S. and Stumme, G.},
  booktitle = {Proc. SIGIR Semantic Web Workshop},
  comment = {alpha},
  interhash = {c2a9a89ce20cef90a1e78d34dc2c2afe},
  intrahash = {04c7d86337d68e4ed9ae637029c43414},
  title = {Wordnet improves text document clustering},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003wordnet.pdf},
  year = 2003
}