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Quantifying Uncertainty in Reasoning and Question Answering. Probabilistic Relaxed Unification Formalism and Applications in Automated Question-Answering Systems

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Tony A.    
Книга по Требованию    
2416 руб
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We introduce probabilistic relaxed unification as an alternative approach where the assumptions of classical unification are relaxed. Our approach is empirically validated through a series of cases drawn from real world questions and data collection. The validation cases substantiate that our system provides satisfactory results on the chosen dataset within the system limitations. However, this seldom applies to the real world; text from the Web may contain incorrect, incomplete, or contradictory information. This book should be of interest to academics and practitioners interested in reasoning under uncertainty and automated question-answering systems. Relaxed unification replaces the binary success or failure outcome of classical unification with a real number quantifying the correctness of the result. Many natural language processing formalism rely on classical unification, which assumes that the knowledge base is complete and accurate. Reasoning about natural language requires robustness in the face of uncertainty about the validity of the information contained in the text. Our formalism is realized in the implementation of a modular question-answering system prototype.
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