@mastersthesis{Marathe-MSc,
  author = "Meghana Marathe",
  title = "Lexical Chains using Distributional Measures of 
Concept Distance",
  school = "Department of Computer Science, University of Toronto",
  year = "2009",
  abstract = "<p>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 on the task of text segmentation and in a study that asked linguistically-trained judges to rate them qualitatively. While performing as well as or better than state-of-the-art methods in the former task, they were rated significantly lower for coherence than chains built using Lin's WordNet-based measure.  </p>",
  download = "http://ftp.cs.toronto.edu/pub/gh/Marathe-MSc-paper.pdf"
}