University of Glasgow at the NTCIR-9 Intent task: Experiments with Terrier on Subtopic Mining and Document Ranking
نویسندگان
چکیده
We describe our participation in the subtopic mining and document ranking subtasks of the NTCIR-9 Intent task, for both Chinese and Japanese languages. In the subtopic mining subtask, we experiment with a novel data-driven approach for ranking reformulations of an ambiguous query. In the document ranking subtask, we deploy our state-ofthe-art xQuAD framework for search result diversification.
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