Learning Hierarchical Multi-Category Text Classification Models
author:
Juho Rousu,
University of Helsinki
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| Slides | |
| 0:03 | Learning Hierarchical Multi-Category Text Classification Models |
| 0:59 | Hierarchical Multilabel Classification: |
| 1:57 | Frequently used learning strategies for hierarchies |
| 3:46 | Max-margin Structured output approach |
| 4:49 | Loss functions for hierarchies |
| 7:46 | Optimization problem |
| 9:45 | Marginalized problem |
| 11:56 | Marginalized problem |
| 13:40 | Efficient optimization |
| 14:58 | Conditional Gradient-based training |
| 15:23 | Conditional Gradient-based training |
| 15:39 | Conditional Gradient-based training |
| 15:43 | Conditional Gradient-based training |
| 15:47 | Conditional Gradient-based training |
| 15:57 | Experiments |
| 17:15 | Microlabel prediction quality: whole tree |
| 18:38 | Levelwise F1 |
| 19:44 | Optimization efficiency |
| 20:56 | Conclusions |
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