Question answering using constraint satisfaction: QA-by-Dossier-with-Constraints

  • Authors:
  • John Prager;Jennifer Chu-Carroll;Krzysztof Czuba

  • Affiliations:
  • T.J. Watson Research Ctr., N.Y.;T.J. Watson Research Ctr., N.Y.;T.J. Watson Research Ctr., N.Y.

  • Venue:
  • ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

QA-by-Dossier-with-Constraints is a new approach to Question Answering whereby candidate answers' confidences are adjusted by asking auxiliary questions whose answers constrain the original answers. These constraints emerge naturally from the domain of interest, and enable application of real-world knowledge to QA. We show that our approach significantly improves system performance (75% relative improvement in F-measure on select question types) and can create a "dossier" of information about the subject matter in the original question.