Finding Parts in Very Large Corpora

  • Authors:
  • Matthew Berland;Eugene Charniak

  • Affiliations:
  • -;-

  • Venue:
  • Finding Parts in Very Large Corpora
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a method for extracting parts of objects from wholes (e.g. ``speedometer'''' from ``car''''). Given a very large corpus our method finds part words with 55\ ranked by the system. The part list could be scanned by an end-user and added to an existing ontology (such as WordNet), or used as a part of a rough semantic lexicon.