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The ability to solve probability word problems such as those found in introductory discrete mathematics textbooks, is an important cognitive and intellectual skill. In this paper, we develop a two-step end-to-end fully automated approach for solving such questions that is able to automatically provide answers to exercises about probability formulated in natural language.In the first step, a question formulated in natural language is analysed and transformed into a high-level model specified indoi:10.24963/ijcai.2017/556 dblp:conf/ijcai/DriesKDBR17 fatcat:q26wodhlf5b5hghwihvvwrcoma