Text Semantic Similarity, with Applications

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In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.

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8 p.

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Corley, Courtney; Csomai, Andras & Mihalcea, Rada, 1974- September 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 165 times , with 4 in the last month . More information about this paper can be viewed below.

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Description

In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.

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8 p.

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  • Recent Advances in Natural Language Processing (RANLP) Conference, 2005, Borovetz, Bulgaria

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UNT Scholarly Works

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  • September 2005

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • June 18, 2013, 3:03 p.m.

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Corley, Courtney; Csomai, Andras & Mihalcea, Rada, 1974-. Text Semantic Similarity, with Applications, paper, September 2005; (digital.library.unt.edu/ark:/67531/metadc30976/: accessed October 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.