Pazesh: a graph-based approach to increase readability of automatic text summaries

Authors:
Nasrin Mostafazadeh;Seyed Abolghassem Mirroshandel;Gholamreza Ghassem-Sani;Omid Bakhshandeh Babarsad
Affiliations:
Computer Engineering Department, Sharif University Of Technology, Tehran, Iran;Computer Engineering Department, Sharif University Of Technology, Tehran, Iran;Computer Engineering Department, Sharif University Of Technology, Tehran, Iran;Mechatronics Research Laboratory, Computer Engineering Depatment, Qazvin Azad University, Qazvin, Iran
Venue:
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Year:
2011

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Abstract

Today, research on automatic text summarization challenges on readability factor as one of themost 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.