论文信息 - Hierarchical Text Categorisation based on Neural Networks and Dempster-Shafer Theory of Evidence

Hierarchical Text Categorisation based on Neural Networks and Dempster-Shafer Theory of Evidence

This paper investigates an approach for text categorization that combines neural networks and the Dempster-Shafer Theory of Evidence to represent hierarchical relationships between categories.

Mounia Lalmas | Gertrud Jeschke

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