Paper: Improving QA Accuracy By Question Inversion

ACL ID P06-1135
Title Improving QA Accuracy By Question Inversion
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

This paper demonstrates a conceptually simple but effective method of increasing the accuracy of QA systems on factoid-style questions. We define the notion of an inverted question, and show that by requiring that the answers to the original and inverted questions be mutually con- sistent, incorrect answers get demoted in confi- dence and correct ones promoted. Additionally, we show that lack of validation can be used to assert no-answer (nil) conditions. We demon- strate increases of performance on TREC and other question-sets, and discuss the kinds of fu- ture activities that can be particularly beneficial to approaches such as ours.