CNTS: Memory-Based Learning of Generating Repeated References
نویسندگان
چکیده
In this paper we describe our machine learning approach to the generation of referring expressions. As our algorithm we use memory-based learning. Our results show that in case of predicting the TYPE of the expression, having one general classifier gives the best results. On the contrary, when predicting the full set of properties of an expression, a combined set of specialized classifiers for each subdomain gives the best performance.
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