Pattern Combination and Variation Syntax for Case Similarity

W. Suwarningsih
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引用次数: 0

Abstract

This paper aims to explain a new way of seeking case similarities to Case Based Reasoning question and answering system. A new concept used is to create a combination of sentence patterns with the variations of syntax and relation between words in sentences. More precisely, we improve the similarity from a resource-poor source language. The combination of pattern was made for the variation of the fridge using Predicate Argument Structure (PAS) analysis, whereas the combination of pattern with the relation between words was by forming Sub Tree (ST) and Subset Tree (SST) from parsing tree. The result of forming a combination of these patterns was then selected to obtain an appropriate answer. Accuracy resulted by using the combination of this pattern resulted in a significant value equal to 88.64% of 132 question sentences used as data testing.
大小写相似的模式组合和变化语法
本文旨在解释基于案例推理的问答系统中寻找案例相似性的一种新方法。一个新的概念是用句法的变化和句子中单词之间的关系来创造句型的组合。更准确地说,我们提高了资源贫乏的源语言的相似性。使用谓词参数结构(PAS)分析对冰箱的变化进行模式组合,而通过解析树形成子树(ST)和子集树(SST)将模式与词间关系结合起来。然后选择这些模式组合的结果以获得适当的答案。使用这种模式的组合产生的准确率显著值为88.64%,用于数据测试的132个问题句。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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