Understanding Negation in Positive Terms Using Syntactic Dependencies

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This paper presents a two-step procedure to extract positive meaning from verbal negation.

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11 p.

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Sarabi, Zahra & Blanco, Eduardo November 2016.

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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. More information about this paper can be viewed below.

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Description

This paper presents a two-step procedure to extract positive meaning from verbal negation.

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11 p.

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Abstract: This paper presents a two-step procedure to extract positive meaning from verbal negation. We first generate potential positive interpretations manipulating syntactic dependencies. Then, we score them according to their likelihood. Manual annotations show that positive interpretations are ubiquitous and intuitive to humans. Experimental results show that dependencies are better suited than semantic roles for this task, and automation is possible.

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  • 2016 Conference on Empirical Methods in Natural Language Processing, November 1-5, 2016. Austin, Texas.

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  • Publication Title: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  • Pages: 1108-1118
  • Peer Reviewed: Yes

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  • November 2016

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  • Aug. 29, 2017, 9:38 a.m.

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Sarabi, Zahra & Blanco, Eduardo. Understanding Negation in Positive Terms Using Syntactic Dependencies, paper, November 2016; Stroudsburg, Pennsylvania. (digital.library.unt.edu/ark:/67531/metadc991027/: accessed October 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.