Paper: Information Extraction For Question Answering: Improving Recall Through Syntactic Patterns

ACL ID C04-1188
Title Information Extraction For Question Answering: Improving Recall Through Syntactic Patterns
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

We investigate the impact of the precision/recall trade-off of information extraction on the per- formance of an offline corpus-based question answering (QA) system. One of our findings is that, because of the robust final answer selection mechanism of the QA system, recall is more im- portant. We show that the recall of the extrac- tion component can be improved using syntac- tic parsing instead of more common surface text patterns, substantially increasing the number of factoid questions answered by the QA system.