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- W2022884682 abstract "Our goal is to enable rapid production of static and dynamic object models from natural language description of problems. Rapid modeling is achieved through automation of analysis tasks. This automation captures the cognitive schemes analysts use to build their models of the world through the use of a precise methodology. The methodology is based on the use of proposed technique called role posets, and a semi-natural language (called 4W). Original problem statements are automatically translated to 4W language. The produced sentences then, are analyzed with role posets to produce static model views. Finally the 4W sentences are used to generate dynamic views of the problem. This set of methods maximizes analysis process agility, promotes reusability and constitutes a valuable tool in the learning process of object thinking." @default.
- W2022884682 created "2016-06-24" @default.
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- W2022884682 date "2002-11-04" @default.
- W2022884682 modified "2023-10-17" @default.
- W2022884682 title "Automatically generating object models from natural language analysis" @default.
- W2022884682 cites W2035535858 @default.
- W2022884682 doi "https://doi.org/10.1145/985072.985116" @default.
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