Accession Number:

ADA460400

Title:

Statistical QA - Classifier vs. Re-Ranker: What's the Difference

Descriptive Note:

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY INFORMATION SCIENCES INST

Report Date:

2003-01-01

Pagination or Media Count:

8.0

Abstract:

In this paper, we show that we can obtain a good baseline performance for Question Answering QA by using only 4 simple features. Using these features, we contrast two approaches used for a Maximum Entropy based QA system. We view the QA problem as a classification problem and as a reranking problem. Our results indicate that the QA system viewed as a reranker clearly outperforms the QA system used as a classifier. Both systems are trained using the same data.

Subject Categories:

  • Information Science
  • Linguistics
  • Statistics and Probability
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE