Automatic generation of a coarse grained WordNet Metadata

Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.

Title

  • Main Title Automatic generation of a coarse grained WordNet

Creator

  • Author: Mihalcea, Rada, 1974-
    Creator Type: Personal
    Creator Info: University of North Texas; Southern Methodist University
  • Author: Moldovan, Dan I.
    Creator Type: Personal
    Creator Info: Southern Methodist University

Contributor

  • Organizer of meeting: Association for Computational Linguistics. Special Interest Group on the Lexicon.
    Contributor Type: Organization

Date

  • Creation: 2001-06

Language

  • English

Description

  • Content Description: This paper discusses automatic generation of a coarse grained WordNet.
  • Physical Description: 6 p.

Subject

  • Keyword: WordNet
  • Keyword: word sense disambiguation
  • Keyword: natural language processing

Source

  • Conference: North American Chapter of the Association for Computational Linguistics Workshop, 2001, Pittsburgh, Pennsylvania, United States

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/metadc83310

Degree

  • Academic Department: Computer Science and Engineering

Note

  • Display Note: Abstract: Several principles for the automatic transformation of WordNet into a coarser grained dictionary are proposed. A new version of WordNet is derived, leading to a reduction of 26% in the average polysemy of words, while introducing a small error rate of 2.1%, as measured on a sense tagged corpus.