Resource analysis for question answering

  • Authors:
  • Lucian Vlad Lita;Warren A. Hunt;Eric Nyberg

  • Affiliations:
  • Carnegie Mellon University;Carnegie Mellon University;Carnegie Mellon University

  • Venue:
  • ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
  • Year:
  • 2004

Quantified Score

Hi-index 0.01

Visualization

Abstract

This paper attempts to analyze and bound the utility of various structured and unstructured resources in Question Answering, independent of a specific system or component. We quantify the degree to which gazetteers, web resources, encyclopedia, web documents and web-based query expansion can help Question Answering in general and specific question types in particular. Depending on which resources are used, the QA task may shift from complex answer-finding mechanisms to simpler data extraction methods followed by answer re-mapping in local documents.