朝鲜语自然语言需求文档的先行词决策规则研究

K. Park, Moon-kun Lee, Dongun An, Yong-Seok Lee
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引用次数: 1

摘要

在特征性需求文档(RD)中,一般很少使用代词。但是,如果我们想在自动需求分析中获得更高的准确性,代词的先行词决定对于通过自然语言处理(NLP)从自然语言需求文档(NLRD)中自动提取形式需求(即成分、动作、语句和参数等)是非常重要的。在本文中,我们提出了一种通过自然语言处理(NLP)来决定韩语非自然语料代词先行词的先行词判定规则(ADR)。代词可分为人称代词和指示代词。在RD中,人称代词几乎不出现,所以我们关注的是指示代词的先行词决定。本文的目的是描述用于后处理的ADR,以减少形态学分析和解析的负担,因此我们的方法可以描述额外的规则,因为每个规则都应用于后处理。我们用5个简短的NLRD加代词in进行了实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Antecedent Decision Rules for Natural Language Requirements Document in Korean
In the characteristically requirements document (RD), the pronoun is scarcely used in RD in general. But if we would like to get the higher accuracy in analysis of RD automatically, antecedent decision of pronoun is very important for elicitation of formal requirements (i.e. component, action, statement and parameters etc.) automatically from natural language requirements document (NLRD) via natural language processing (NLP). In this paper, we propose the antecedent decision rule (ADR) to decide antecedent of pronoun from NLRD in Korean via NLP. Pronoun can be classified in personal pronoun and demonstrative pronoun. In the RD, a personal pronoun is almost not occurred so we are focused on antecedent decision for a demonstrative pronoun. The purpose of this paper is to describe the ADR that is used in postprocessing to reduce a burden of morphological analysis and parsing, so our approach can describe additional rules because every rule are applied in the postprocessing. We carried out an experiment with five brief NLRD added pronoun in.
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