emnlp emnlp2013 emnlp2013-155 emnlp2013-155-reference knowledge-graph by maker-knowledge-mining
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Author: Jing Liu ; Quan Wang ; Chin-Yew Lin ; Hsiao-Wuen Hon
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.
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