This work concerns a question answering tool that uses multiple Web search engines and Web question answering systems to retrieve snippets of text that may contain an exact answer for a natural language question. The method described here treats each Web information retrieval system in a unique manner in order to extract the best results they can provide. The results obtained suggest that our method is comparable with some of today's state-of-the-art systems.
Finally, REF uses various search engines in order to extract from the Web a set of candidate answers for a given question.
Extracting exact answers using a meta question answering system
The University of Sydney, Australia
Computer Science