We present a natural-language question-answering system that gives access to the accumulated knowledge of one of the largest community projects on the Web â" Wikipedia â" via an automatically acquired structured knowledge base. Key to building such a system is to establish mappings from natural language expressions to semantic representations. We propose to acquire these mappings by data-driven methods â" corpus harvesting and paraphrasing â" and present a preliminary empirical study that demonstrates the viability of our method.
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