Annotating WordNet

Abstract

High-quality lexical resources are needed to both train and evaluate Word Sense Disambiguation (WSD) systems. The problem of ambiguity persists even in limited domains, thus the necessity for wide-coverage inventories of senses (dictionaries) and corpora sense-tagged to them. WordNet has been used extensively for WSD, for both its broad coverage and its large network of semantic relations. In this paper, we present a report on the state of our current endeavor to increase the connectivity of WordNet through sense-tagging the glosses, the result of which will be to create a more integrated lexical resource.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA457843

Entities

People

  • Benjamin R. Haskell
  • George A. Miller
  • Helen Langone

Organizations

  • Princeton University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Automatic
  • Cognitive Science
  • Computers
  • Contracts
  • Databases
  • Errors
  • Hierarchies
  • Humanities
  • Information Operations
  • Language
  • Natural Languages
  • Preprocessing
  • Side Effects
  • Universities
  • Words (Language)

Readers

  • Computational Linguistics