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The need to aid computer representation of human activities cannot be overemphasized and this has led to attempts in capturing negative hypothesis for appropriate modeling of natural language representation in databases. Over time, many researchers have been carried out in presenting a human like computer essentially in the area of human computer interaction. This paper considers the complex nature of human sentences as embodied in the theory of counterfactuals and investigates a methodology for its representation such that a natural language interface can detect the structure of information contained in counterfactuals and execute such as appropriate, the paper extends the use of directed acyclic graph to analyze such structure.
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