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This paper proposed a new method for learning to re-rank the retrieved documents based on the evaluation of the semantic relevance between named-entities in these documents and the query words, especially relevance between the query and the most topical named entities in these documents. The relevance weights used to rank documents were evaluated by analyzing the co-occurrence characters of focused...
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