Graph-based Ranking Algorithms for Text Processing

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Patent relating to graph-based ranking algorithms for text processing.

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25 p. : ill.

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Mihalcea, Rada, 1974- & Tarau, Paul October 5, 2010.

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This patent is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 348 times. More information about this patent can be viewed below.

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Patent relating to graph-based ranking algorithms for text processing.

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25 p. : ill.

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Abstract: The present invention provides a method of processing at least one natural language text using a graph. The method includes determining a plurality of text units based upon the natural language text, associating the plurality of text units with a plurality of graph nodes, and determining at least one connecting relation between at least two of the plurality of text units. The method also includes associating the at least one connecting relation with at least one graph edge connecting at least two of the plurality of graph nodes and determining a plurality of rankings associated with the plurality of graph nodes based upon the at least one graph edge. The method can also include a graphical visualization of at least one important text unit in a natural language text or collection of texts. Methods for word sense disambiguation, keyword extraction, and sentence extraction are also provided.

Prior Publication Data: US 2005/0278325 A1, December 15, 2005.

Related U.S. Application Data: Provisional application number 60/579,372, filed on June 14, 2004.

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  • March 9, 2005

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  • October 5, 2010

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  • October 5, 2010

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  • July 7, 2014, 8:20 a.m.

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  • Oct. 24, 2023, 1:06 p.m.

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Mihalcea, Rada, 1974- & Tarau, Paul. Graph-based Ranking Algorithms for Text Processing, patent, October 5, 2010; [Washington, D.C.]. (https://digital.library.unt.edu/ark:/67531/metadc306037/: accessed October 8, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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