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- W175064024 abstract "Many real world classification problems involve classes organized in a hierarchical tree-like structure. However in many cases the hierarchical structure is ignored and each class is treated in isolation or in other words the class structure is flattened (Dumais and Chen, 2000). In this paper, we propose a new approach of incorporating hierarchical structure knowledge by cascading it as an additional feature for Child level classifier. We posit that our cascading model will outperform the baseline “flat” model. Our empirical experiment provides strong evidences supporting our proposal. Interestingly, even imperfect hierarchical structure knowledge would also improve classification performance." @default.
- W175064024 created "2016-06-24" @default.
- W175064024 creator A5083294553 @default.
- W175064024 date "2010-01-01" @default.
- W175064024 modified "2023-09-23" @default.
- W175064024 title "Text Classification with Imperfect Hierarchical Structure Knowledge" @default.
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