Measuring Semantic Distance using Distributional Profiles of Concepts
Semantic distance is a measure of how close or distant in meaning two units of language are. A large number of important natural language problems, including machine translation and word sense disambiguation, can be viewed as semantic distance problems. The two dominant approaches to estimating sema...
Main Author: | Mohammad, Saif |
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Other Authors: | Hirst, Graeme |
Format: | Others |
Language: | en_US |
Published: |
2008
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Subjects: | |
Online Access: | http://hdl.handle.net/1807/11238 |
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