Corpus-based linguistic indicators for aspectual classification

  • Authors:
  • Eric V. Siegel

  • Affiliations:
  • Columbia University, New York, NY

  • Venue:
  • ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
  • Year:
  • 1999

Quantified Score

Hi-index 0.01

Visualization

Abstract

Fourteen indicators that measure the frequency of lexico-syntactic phenomena linguistically related to aspectual class are applied to aspectual classification. This group of indicators is shown to improve classification performance for two aspectual distinctions, stativity and completedness (i.e., telicity), over unrestricted sets of verbs from two corpora. Several of these indicators have not previously been discovered to correlate with aspect.