Papers with string kernels
Automated essay scoring with string kernels and word embeddings (P18-2)
Copied to clipboard
| Challenge: | Existing approaches to automatic essay scoring use low-level character n-gram features. |
| Approach: | They propose to combine string kernels and word embeddings for automatic essay scoring. |
| Outcome: | The proposed method outperforms state-of-the-art deep learning methods in Arabic dialect identification and native language identification tasks. |
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set (D18-1)
Copied to clipboard
| Challenge: | Recent studies have demonstrated remarkable performance in text classification tasks such as Arabic dialect identification. |
| Approach: | They propose two approaches to improve string kernels' accuracy in Arabic and English . first approach interprets pairwise string kernel similarities between training and test sets as features . second approach adapts to training set and adds test samples for another round of training . |
| Outcome: | The proposed methods improve English polarity classification and Arabic dialect identification. |