Dialog Act Tagging using Memory-Based Learning
نویسنده
چکیده
We are applying a memory based learning (MBL) algorithm to the task of automatic dialog act (DA) tagging. This work is along the lines of a recent trend that considers MBL as being more appropriate for natural language processing. We did the experiments on the Switchboard corpus, overcome the problem of feature selection and yield results that seem to be better that previous reported results on the same corpus.
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تاریخ انتشار 2007