Language Independent Extractive Summarization

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This paper discusses language independent extractive summarization.

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4 p.

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Mihalcea, Rada, 1974- July 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 72 times , with 4 in the last month . More information about this paper can be viewed below.

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The UNT College of Engineering promotes intellectual and scholarly pursuits in the areas of computer science and engineering, preparing innovative leaders in a variety of disciplines. The UNT College of Engineering encourages faculty and students to pursue interdisciplinary research among numerous subjects of study including databases, numerical analysis, game programming, and computer systems architecture.

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This paper discusses language independent extractive summarization.

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4 p.

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Abstract: We demonstrate TextRank - a system for unsupervised extractive summarization that relies on the application of iterative graph-based ranking algorithms to graphs encoding the cohesive structure of a text. An important characteristic of the system is that it does not rely on any language-specific knowledge resources or any manually constructed training data, and thus it is highly portable to new languages or domains.

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  • Forty-Third Annual Meeting of the Association for Computational Linguistics (ACL), 2005, Pittsburgh, Pennsylvania, United States

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  • July 2005

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • March 27, 2014, 12:10 p.m.

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Mihalcea, Rada, 1974-. Language Independent Extractive Summarization, paper, July 2005; [Stroudsburg, Pennsylvania]. (digital.library.unt.edu/ark:/67531/metadc30967/: accessed July 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.