Statistical QA - Classifier vs. Re-Ranker: What's the Difference
UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY INFORMATION SCIENCES INST
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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.
- Information Science
- Statistics and Probability