从自然语言文本生成领域特定查询

Anum Iftikhar, Erum Iftikhar, Muhammad Khalid Mehmood
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引用次数: 9

摘要

提出了一种从自然语言文本中自动生成结构化查询语言的方法。软件需求规范是自然语言处理中最重要的部分,因为在这个阶段稍有错误就会导致荒谬的软件设计。软件规范用于软件行业。当我们将这些自然语言文本自动翻译成结构化查询文本时,我们发现许多问题,因为软件规范不是一个独立的句子,它们有许多相互关联的模块。因此,在翻译这些英语文本时,我们发现了许多问题,如语篇、语义和否定问题。自然语言文本的评估方法是针对一组句子进行测试,每个句子都与“是”或“否”配对。为此,我在硕士论文中研究了自然语言文本及其存在的问题。什么是自然语言文本,当我们自动将这些文本翻译成SQL时会发现什么问题。我们使用斯坦福依赖解析器进行文本翻译。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Domain specific query generation from natural language text
This paper presents an approach to automate the generation of Structure Query Language from Natural Language Text. Software requirements specifications are most important part of Natural Language Processing, as little mistake in this phase results in absurd software design. Software Specifications are used in software industry. When we automatic translate these Natural Language Text into Structured Query Text we find Many issues because Software Specification is not an independent sentence they have many module related to each other. so when we translate these English text we have found many issues such as discourse, semantic and negation problem. The evaluation method for Natural Language texts is to test against a list of sentences, each of which is paired with yes or no. For this case I have study Natural Language text and their problems in my MS thesis. What Natural Language Texts are and what issues are found when we automatic translate these Texts into SQL. We used Stanford dependency parser for text translation.
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