Using discourse predictions for ambiguity resolution

  • Authors:

  • Yan Qu;Carolyn P. Rosé;Barbara Di Eugenio

  • Affiliations:

  • Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
  • Year:
  • 1996

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we discuss how we apply discourse predictions along with non context-based predictions to the problem of parse disambiguation in Enthusiast, a Spanish-to-English translation system (Woszcyna et al., 1993; Suhm et al., 1994; Levin et al., 1995). We discuss extensions to our plan-based discourse processor in order to make this possible. We evaluate those extensions and demonstrate the advantage of exploiting context-based predictions over a purely non context-based approach.