Paper: An Analysis Of The AskMSR Question-Answering System

ACL ID W02-1033
Title An Analysis Of The AskMSR Question-Answering System
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2002
Authors

We describe the architecture of the AskMSR question answering system and systematically evaluate contributions of different system components to accuracy. The system differs from most question answering systems in its dependency on data redundancy rather than sophisticated linguistic analyses of either questions or candidate answers. Because a wrong an- swer is often worse than no answer, we also explore strategies for predicting when the question answering system is likely to give an incorrect answer.