Improving QA retrieval using document priors

Authors:
James Mayfield;Paul McNamee
Affiliations:
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD;The Johns Hopkins University Applied Physics Laboratory, Laurel, MD
Venue:
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2006

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Abstract

We present a simple way to improve document retrieval for question answering systems. The method biases the retrieval system toward documents that contain words that have appeared in other documents containing answers to the same type of question. The method works with virtually any retrieval system, and exhibits a statistically significant performance improvement over a strong baseline.