Keyphrase Based Arabic Summarizer (KPAS)

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...

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Bibliographic Details
Published in:arXiv.org 2012-06
Main Authors: El-Shishtawy, Tarek, El-Ghannam, Fatma
Format: Article
Language:English
Subjects:
Algorithms
Feature extraction
Redundancy
Sentences
Texts
Online Access:Get full text
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Summary: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.
ISSN:2331-8422