Dealing with decisional natural language why-question in business intelligence

Meriem Amel Guessoum, Rahma Djiroun, K. Boukhalfa
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引用次数: 4

Abstract

Business Intelligence aims at providing information to non expert users to make appropriate decisions. To access decisional information, the decision maker should express his/her requirements in Natural Language interfaces instead of technical languages, to avoid IT designer dependency and formal language's unfamiliarity. A Natural Language query is formulated according to several types such as WH-questions as “What, Who, Where, etc.” questions, Keyword-like questions, etc. We focus on “Why-Question” and we present an approach handling this kind of question. We begin by modelling the Why-Question, then we present a mathematical model based on numerical analysis to detect the eventual Why-Questions answers. We propose a tool called Why-Question analyser implementing our approach. A preliminary evaluation is presented.
商业智能中决策性自然语言“为什么”问题的处理
商业智能旨在为非专业用户提供信息以做出适当的决策。为了获取决策信息,决策者应该用自然语言接口而不是技术语言来表达自己的需求,以避免对IT设计者的依赖和形式语言的不熟悉。自然语言查询是根据几种类型制定的,如wh问题,如“什么,谁,在哪里等”问题,关键字问题等。我们关注“为什么问题”,并提出了处理这类问题的方法。我们首先对“为什么”问题进行建模,然后提出一个基于数值分析的数学模型,以检测“为什么”问题的最终答案。我们提出了一个名为Why-Question分析器的工具来实现我们的方法。提出了初步评价。
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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