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Semantic similarity has attracted great concern for a long time in artificial intelligence, psychology and cognitive science. In recent years the measures based on WordNet have shown its talents and attracted great concern. Many measures have been proposed. The paper contains a review of the state of art measures, including path based measures, information based measures, feature based measures and hybrid measures. The features, performance, advantages, disadvantages and related issues of different measures are discussed. Finally the area of future research is described..
목차
Abstract
1. Introduction
2. WordNet
3. Semantic Similarity Measures based on WordNet
3.1. Path-based Measures
3.2. Information Content-based Measure
3.3. Feature-based Measure
3.4. Hybrid Measure
4. Comparison and Evaluation
5. Summary
References
1. Introduction
2. WordNet
3. Semantic Similarity Measures based on WordNet
3.1. Path-based Measures
3.2. Information Content-based Measure
3.3. Feature-based Measure
3.4. Hybrid Measure
4. Comparison and Evaluation
5. Summary
References
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