Lexical Chains Using Distributional Measures of Concept Distance

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.

• Type: Conference
• Year: 2010
• Where: CICLING
• Authors: Meghana Marathe, Graeme Hirst
• Keywords: CICLING 2010, Distributional Measures, Inherent Semantic Information, Natural Language Processing, Semantic Distance