@TechReport{Dartmouth:TR99-352,
  author = {Jason M. Whaley},
  title = {{An Application of Word Sense Disambiguation to Information Retrieval}},
  institution = {Dartmouth College, Computer Science},
  address = {Hanover, NH},
  number = {PCS-TR99-352},
  year = {1999},
  month = {June},
  URL = {http://www.cs.dartmouth.edu/reports/TR99-352.ps.Z},
  comment = {
    Undergraduate Honors Thesis.  Advisor: Jay Aslam.
  },
  abstract = {
    The problems of word sense disambiguation and document indexing for
    information retrieval have been extensively studied.  It has been
    observed that indexing using disambiguated meanings, rather than word
    stems, should improve information retrieval results. We present a new
    corpus-based algorithm for performing word sense disambiguation. The
    algorithm does not need to train on many senses of each word; it uses 
    instead the probability that certain concepts will occur together.
    That algorithm is then used to index several corpa of documents.  Our
    indexing algorithm does not generally outperform the traditional
    stem-based tf.idf model.
  }
}