Measuring the Semantic Similarity of Texts

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This paper discusses measuring the semantic similarity of texts.

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6 p.

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Corley, Courtney & Mihalcea, Rada, 1974- June 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 468 times . More information about this paper can be viewed below.

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This paper discusses measuring the semantic similarity of texts.

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6 p.

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Abstract: This paper presents a knowledge-based method for measuring the semantic-similarity of texts. While there is a large body of previous work focused on finding the semantic similarity of concepts and words, the application of these word-oriented methods to text similarity has not been yet explored. In this paper, we introduce a method that combines word-to-word similarity metrics into a text-to-text metric, and the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.

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  • Association for Computational Linguistics (ACL) Workshop on Empirical Modeling of Semantic Equivalence, 2005, Ann Arbor, Michigan, United States

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  • June 2005

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • March 27, 2014, 12:22 p.m.

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Corley, Courtney & Mihalcea, Rada, 1974-. Measuring the Semantic Similarity of Texts, paper, June 2005; [Stroudsburg, Pennsylvania]. (digital.library.unt.edu/ark:/67531/metadc30969/: accessed August 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.