Papers by George Lacey
Dilated LSTM with attention for Classification of Suicide Notes (D19-62)
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| Challenge: | Using a dilated LSTM with attention we achieve an accuracy of 87.34% compared to baselines of 80.35% and 82.27%. |
| Approach: | They propose a dilated LSTM with attention mechanism for document-level classification of suicide notes, last statements and depressed notes. |
| Outcome: | The proposed model achieves an accuracy of 87.34% compared to baselines of 80.35% and 82.27%. |