Papers by Dainis Boumber
Experiments with Convolutional Neural Networks for Multi-Label Authorship Attribution (L18-1)
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| Challenge: | Existing methods for authorship attribution tasks are difficult, but they are effective. |
| Approach: | They propose a CNN that averaging author probability distributions at sentence level for longer documents and treating smaller documents as sentences adapts to single-label datasets and various document sizes. |
| Outcome: | The proposed method outperforms state-of-the-art models on a single-label AA benchmark dataset. |