Extracting a Representation from Text for Semantic Analysis Metadata

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Title

  • Main Title Extracting a Representation from Text for Semantic Analysis

Creator

  • Author: Nielsen, Rodney D.
    Creator Type: Personal
    Creator Info: University of Colorado, Boulder; Boulder Language Technologies; University of North Texas
  • Author: Ward, Wayne
    Creator Type: Personal
    Creator Info: University of Colorado, Boulder; Boulder Language Technologies
  • Author: Martin, James H.
    Creator Type: Personal
    Creator Info: University of Colorado, Boulder
  • Author: Palmer, Martha
    Creator Type: Personal
    Creator Info: University of Colorado, Boulder

Publisher

  • Name: Association for Computational Linguistics
    Place of Publication: Stroudsburg, Pennsylvania

Date

  • Creation: 2008-06

Language

  • English

Description

  • Content Description: This paper presents a novel fine-grained semantic representation of text and an approach to constructing it.
  • Physical Description: 4 p.

Subject

  • Keyword: semantic representation
  • Keyword: intelligent tutoring system
  • Keyword: natural language processing

Source

  • Conference: 2008 Meeting of the Association for Computational Linguistics: Human Language Technologies, June 15-18, 2008. Columbus, Ohio.

Citation

  • Publication Title: Proceedings of ACL-08: Human Learning Technologies, Short Papers (Companion Volume)
  • Pages: 241-244
  • Peer Reviewed: True

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Engineering
    Code: UNTCOE

Rights

  • Rights Access: public
  • Rights License: by-nc-sa

Resource Type

  • Paper

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc1042597

Degree

  • Academic Department: Computer Science and Engineering

Note

  • Display Note: Abstract: We present a novel fine-grained semantic representation of text and an approach to constructing it. This representation is largely extractable by today‚Äôs technologies and facilitates more detailed semantic analysis. We discuss the requirements driving the representation, suggest how it might be of value in the automated tutoring domain, and provide evidence of its validity.