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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Pazesh: A Graph-Based Approach to Increase Readability of Automatic Text Summaries
verfasst von : Nasrin Mostafazadeh, Seyed Abolghassem Mirroshandel, Gholamreza Ghassem-Sani, Omid Bakhshandeh Babarsad
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Today, research on automatic text summarization challenges on readability factor as one of the most important aspects of summarizers’ performance. In this paper, we present Pazesh: a language-independent graph-based approach for increasing the readability of summaries while preserving the most important content. Pazesh accomplishes this task by constructing a special path of salient sentences which passes through topic centroid sentences. The results show that Pazesh compares approvingly with previously published results on benchmark datasets.