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- W2148118556 abstract "Online forum discussions often contain vast amounts of questions that are the focuses of discussions. Extracting contexts and answers together with the questions will yield not only a coherent forum summary but also a valuable QA knowledge base. In this paper, we propose a general framework based on Conditional Random Fields (CRFs) to detect the contexts and answers of questions from forum threads. We improve the basic framework by Skip-chain CRFs and 2D CRFs to better accommodate the features of forums for better performance. Experimental results show that our techniques are very promising." @default.
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- W2148118556 date "2008-06-01" @default.
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- W2148118556 title "Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums" @default.
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