Lexical chains using distributional measures of concept distance

Authors:
Meghana Marathe;Graeme Hirst
Affiliations:
University of Toronto, Toronto, ON;University of Toronto, Toronto, ON
Venue:
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Year:
2010

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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.