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• W2170857795 abstract "In this paper, we address the problem of estimating question difficulty in community question answering services. We propose a competition-based model for estimating question difficulty by leveraging pairwise comparisons between questions and users. Our experimental results show that our model significantly outperforms a PageRank-based approach. Most importantly, our analysis shows that the text of question descriptions reflects the question difficulty. This implies the possibility of predicting question difficulty from the text of question descriptions." @default.
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• W2170857795 date "2013-10-01" @default.
• W2170857795 modified "2023-09-28" @default.
• W2170857795 title "Question Difficulty Estimation in Community Question Answering Services" @default.
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