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Generation of Smaller Programs For Efficient Solution of Query-Answering Problems

机译:生成较小的程序,以便有效解决查询应答问题

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In this paper, an essential structure of the proposed bottom-up solution to the Query-Answering (QA) problem is clarified, and its weak point and the solution are discussed. Then, the knowledge base, the importance of the support set and the generating method are introduced. in addition, because the volume of information (data) from a large-scale QA problem might become massive, probably' to a scale that cannot be processed, we propose two solutions, which are the minimization of the used memory and the updating procedure, so as to reduce the data size and minimize the updating procedure. Finally, we have completed experiments to prove that the proposed solutions can efficiently solve the problem mentioned above.
机译:本文阐明了所提出的查询应答(QA)问题的所提出的自下而上解决方案的基本结构,讨论了其弱点和解决方案。然后,引入了知识库,支持集和生成方法的重要性。此外,由于来自大规模QA问题的信息量(数据)可能会巨大,可能会“到无法处理的规模,我们提出了两个解决方案,这是最小化使用的内存和更新过程的解决方案,以减少数据大小并最小化更新过程。最后,我们已经完成了实验,以证明所提出的解决方案可以有效地解决上述问题。

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