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arXiv · 1206.5384

Keyphrase Based Arabic Summarizer (KPAS)

Tarek El-Shishtawy·Fatma El-Ghannam
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Abstract

This paper describes a computationally inexpensive and efficient generic summarization algorithm for Arabic texts. The algorithm belongs to extractive summarization family, which reduces the problem into representative sentences identification and extraction sub-problems. Important keyphrases of the document to be summarized are identified employing combinations of statistical and linguistic features. The sentence extraction algorithm exploits keyphrases as the primary attributes to rank a sentence. The present experimental work, demonstrates different techniques for achieving various summarization goals including: informative richness, coverage of both main and auxiliary topics, and keeping redundancy to a minimum. A scoring scheme is then adopted that balances between these summarization goals. To evaluate the resulted Arabic summaries with well-established systems, aligned English/Arabic texts are used through the experiments.

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Tarek El-Shishtawy, Fatma El-Ghannam. 2012-06-23. Keyphrase Based Arabic Summarizer (KPAS). https://arxiv.org/abs/1206.5384

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