@inproceedings{Marathe2,
   author = "Meghana Marathe and Graeme Hirst",
   title = "Lexical chains using distributional measures of concept
                  distance",
   year = "2010",
   editor = "Alexander Gelbukh",
   booktitle = "Proceedings, 11th International Conference on
                  Intelligent Text Processing and Computational
                  Linguistics (CICLing-2010) (Lecture Notes in
                  Computer Science 6008, Springer-Verlag)",
   month = "March",
   address = "Ia\c{s}i, Romania",
   pages = "291--302",
   abstract = "In practice, lexical chains are typically built using
                  term reiteration or resource-based measures of
                  semantic distance. The former approach misses out on
                  a significant portion of the inherent semantic
                  information in a text, while the latter suffers from
                  the limitations of the linguistic resource it
                  depends upon.  In this paper, chains are constructed
                  using the framework of distributional measures of
                  concept distance, which combines the advantages of
                  resource-based and distributional measures of
                  semantic distance. These chains were evaluated by
                  applying them to the task of text segmentation,
                  where they performed as well as or better than
                  state-of-the-art methods.",
     download = "http://ftp.cs.toronto.edu/pub/gh/Marathe+Hirst-2010.pdf"
}