Concept-Based Retrieval using Controlled Natural Language

We present a method for retrieving concepts from web search queries and from candidate documents on the web, to help determine which of these documents are semantically (rather than simply key-word wise) related to the query. Our method combines hypothetical reasoning, which we use both for natural language analysis and for concept extraction, and domain-oriented taxonomies of concepts to guide the system's reasoning.

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