Papers with hierarchical attention prototypical networks
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification (D19-1)
Copied to clipboard
| Challenge: | Existing methods for text classification are based on large-scale labeled data, but few data are available. |
| Approach: | They propose a hierarchical attention prototypical networks for few-shot text classification . they use attention mechanism to highlight or weaken the importance of features, words, and instances . |
| Outcome: | The proposed model can capture more important features, words, and instances . it can also increase support set augmentability and accelerate convergence speed in training stage . |