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This research describes a paraphrasing benchmark of Arabic sentences for evaluating algorithms developed to measure Semantic Similarity for sentences and Paraphrasing identification task. The sentences are formed based on a set of rules for Arabic paraphrasing. These sentences are constructed from words of different types of Arabic books; educational, semantic science, lexicons and AWSS dataset. The benchmark consists of 1011 sentence pairs and labeled with human ratings for semantic similarity between sentence pair.
Alian et al. (Mon,) studied this question.
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