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Towards Decisional Natural Language Why-Question Recommendation Approach in Business Intelligence Context

机译:走向果断自然语言的为什么 - 在商业智能背景下的问题推荐方法

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Business Intelligence is the key technologies that ensures effective decision-making. It provides decisional information and adapted systems as Data Warehouses and OLAP tools. To access decisional information, decision makers should express their requirements in Natural Language. Question answering systems have been developed to handle these requirements. A Natural Language query can be formulated as WH-questions (“What, Who, Where, Why”), Keyword-like questions. In this paper, we focus on decisional Why-Questions. Expressing a requirement in Natural Language is not always obvious since the decision maker is unaware of the DW content. Consequently, we propose a grammar and an approach for Why-Questions recommendation system. For evaluation purposes, an experimental study is presented.
机译:商业智能是确保有效决策的关键技术。它提供了果断信息和适应系统作为数据仓库和OLAP工具。要访问决策者,决策者应表达自然语言的要求。已经开发了问题应答系统来处理这些要求。可以将自然语言查询制定为WH-Question(“什么,谁,谁,为什么”),类似关键词的问题。在本文中,我们专注于决定性为何问题。由于决策者不知道DW内容,表达自然语言的要求并不总是显而易见的。因此,我们提出了一种语法和对问题推荐系统的方法。为了评估目的,提出了实验研究。

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