An Algorithm for Open Text Semantic Parsing Metadata

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Title

  • Main Title An Algorithm for Open Text Semantic Parsing

Creator

  • Author: Shi, Lei
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Mihalcea, Rada, 1974-
    Creator Type: Personal
    Creator Info: University of North Texas

Contributor

  • Organizer of meeting: International Committee on Computational Linguistics
    Contributor Type: Organization

Date

  • Creation: 2004-08

Language

  • English

Description

  • Content Description: This paper describes an algorithm for open text shallow semantic parsing.
  • Physical Description: 9 p.

Subject

  • Keyword: FrameNet
  • Keyword: WordNet
  • Keyword: syntactic parsing
  • Keyword: natural language texts

Source

  • Conference: ROMAND Workshop on Robust Methods in Analysis of Natural Language Data, 2004, Geneva, Switzerland

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Engineering
    Code: UNTCOE

Rights

  • Rights Access: public

Resource Type

  • Paper

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc30953

Degree

  • Academic Department: Computer Science and Engineering

Note

  • Display Note: Abstract: This paper describes an algorithm for open text shallow semantic parsing. The algorithm relies on a frame dataset (FrameNet) and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shallow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constituents to be accessed and processed in a more meaningful way than syntactic parsing, moving the automation of understanding natural language text to a higher level.