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- W169637606 abstract "AbstractIn this paper, we examine whether it is possible to automatically classify patterns of interactions using a state transition model and identify successful versus unsuccessful student Q&A discussions. For state classification, we apply Conditional Random Field and Hidden Markov Models to capture transitions among the states. The initial results indicate that such models are useful for modeling some of the student dialogue states. We also show the results of classifying threads as successful/unsuccessful using the state information.KeywordsStudent online discussionsQ&A discussion classification" @default.
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- W169637606 date "2011-01-01" @default.
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- W169637606 title "Using Graphical Models to Classify Dialogue Transition in Online Q&A Discussions" @default.
- W169637606 doi "https://doi.org/10.1007/978-3-642-21869-9_98" @default.
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