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...
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| Format: | Others |
| Language: | en_US |
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2008
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| Online Access: | http://hdl.handle.net/1807/11238 |
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