Question Classification for Email
نویسنده
چکیده
Question classifiers are used within Question Answering to predict the expected answer type for a given question. This paper describes the first steps towards applying a similar methodology to identifying question classes in dialogue contexts, beginning with a study of questions drawn from the Enron email corpus. Human-annotated data is used as a gold standard for assessing the output from an existing, open-source question classifier (QA-SYS). Problem areas are identified and potential solutions discussed.
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تاریخ انتشار 2011