Papers with string kernels

2 papers
Automated essay scoring with string kernels and word embeddings (P18-2)

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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)

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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.

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