A Language Independent Algorithm for Single and Multiple Document Summarization

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This paper discusses a language independent algorithm for single and multiple document summarization.

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6 p.

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Mihalcea, Rada, 1974- & Tarau, Paul October 2005.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 1137 times , with 5 in the last month . More information about this paper can be viewed below.

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Description

This paper discusses a language independent algorithm for single and multiple document summarization.

Physical Description

6 p.

Notes

Abstract: This paper describes a method for language independent extractive summarization that relies on iterative graph-based ranking algorithms. Through evaluations performed on a single document summarization task for English and Portuguese, we show that the method performs equally well regardless of the language. Moreover, we show how a meta-summarizer relying on a layered application of techniques for single-document summarization can be turned into an effective method for multi-document summarization.

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  • International Joint Conference on Natural Language Processing (IJCNLP), 2005, Jeju Island, South Korea

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  • October 2005

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  • Jan. 31, 2011, 2:01 p.m.

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  • March 27, 2014, 12:09 p.m.

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Mihalcea, Rada, 1974- & Tarau, Paul. A Language Independent Algorithm for Single and Multiple Document Summarization, paper, October 2005; (digital.library.unt.edu/ark:/67531/metadc30965/: accessed November 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.