Extracting Exact Answers using a Meta Question Answering System

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.

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