This paper presents a method for classifying student discussions in online forums based on a set of discourse structures and identifying discussions with confusion or unanswered questions. Inspired by spoken dialogue analysis, the authors define forum "speech acts" (F-SAs) to represent the roles of individual messages in threaded Q&A discussions, such as questions, issues raised, and answers. These discourse structures help classify and identify discussions with unresolved issues or unanswered questions. The system achieved accuracies between 0.79 and 0.87 in several classification problems, providing a foundation for future information extraction and intelligent assistance tools in online discussions.
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Kim, Jihie, and Jeon-Hyung Kang. "Towards identifying unresolved discussions in student online forums." Applied intelligence 40 (2014): 601-612.
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