Accession Number:

ADA456354

Title:

A Hybrid Approach for QA Track Definitional Questions

Descriptive Note:

Research paper

Corporate Author:

COLUMBIA UNIV NEW YORK DEPT OF COMPUTER SCIENCE

Report Date:

2006-01-01

Pagination or Media Count:

9.0

Abstract:

This paper presents an overview of DefScriber, a hybrid goal-driven and data-driven system for definitional questions that was developed at Columbia University. DefScriber combines knowledge-based and statistical methods to answer definitional questions of the form, What is X The authors explain how the system was modified and applied to answer definitional questions in the TREC 2003 QA track. They present DefScribers results on the definitional questions, which were significantly above median, achieving an average F-score of .338 compared with the median of .192. Finally, they analyze their scores on certain individual questions, discussing areas in which their system performed well and areas in which it could be improved.

Subject Categories:

  • Information Science
  • Linguistics
  • Computer Programming and Software
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE