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EMNLP
2010

Learning the Relative Usefulness of Questions in Community QA

13 years 8 months ago
Learning the Relative Usefulness of Questions in Community QA
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered reference question. The ranking model is trained on a collection of question groups manually annotated with a partial order relation reflecting the relative utility of questions inside each group. Based on a set of meaning and structure aware features, the new ranking model is able to substantially outperform more straightforward, unsupervised similarity measures.
Razvan C. Bunescu, Yunfeng Huang
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where EMNLP
Authors Razvan C. Bunescu, Yunfeng Huang
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