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Found 2 papers, 1 papers with code
MIMICS: A Large-Scale Data Collection for Search Clarification
In this paper, we introduce MIMICS, a collection of search clarification datasets for real web search queries sampled from the Bing query logs.
Analyzing and Learning from User Interactions for Search Clarification
We also propose a model for learning representation for clarifying questions based on the user interaction data as implicit feedback.
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