Domain Model Generation With the Help of Supervised Machine Learning
نویسندگان
چکیده
This technical report aims at describing how to generate a domain model from natural language specification using supervised machine learning. The elicitation process consists of several steps (classification tasks) each contributing a piece of information to the generated domain model. We explain the design, training application and evaluation of the relevant classification models. This work was partially supported by the Grant Agency of the Czech Republic project P103/11/1489 and by the Charles University institutional funding SVV-2012-265312. D3S, Technical Report no. D3S-TR-2012-06 CONTENTS
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تاریخ انتشار 2013