On the Feasibility of Automatically Describing n-dimensional Objects
نویسنده
چکیده
This paper introduces the problem of generating descriptions of n-dimensional spatial data by decomposing it via modelbased clustering. I apply the approach to the error function of supervised classification algorithms, a practical problem that uses Natural Language Generation for understanding the behaviour of a trained classifier. I demonstrate my system on a dataset taken from CoNLL shared tasks.
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تاریخ انتشار 2013