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Learning model for dynamic component utilization in a question answering system

机译:问题应答系统中动态分量利用的学习模型

摘要

Mechanisms are provided in a data processing system for utilizing algorithms based on categories in a question answering system. The mechanisms capture a history of performance and correctness metrics for identifying efficiency of respective algorithms for finding answers to questions in respective question categories in a question answering system. The mechanisms determine sets of algorithms to use for respective question categories according to efficiency and correctness analysis. The mechanisms determine a question category of a given input question and execute a set of algorithms corresponding to the question category of the given input question that meet an efficiency threshold to contribute to finding a correct answer for the given input question.
机译:在数据处理系统中提供了基于问题应答系统中的类别利用算法的数据处理系统中提供的机制。 该机制捕获了识别各种算法的效率的性能和正确度量的历史,以便在问题应答系统中查找各个问题类别中的问题的答案。 该机制根据效率和正确性分析确定用于各个问题类别的算法集。 该机制确定给定输入问题的问题类别,并执行与给定输入问题的问题类别相对应的一组算法,该问题符合效率阈值,以有助于找到给定输入问题的正确答案。

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