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Developing a Knowledge Graph for a Question Answering System to Answer Natural Language Questions on German Grammar

机译:为问答系统开发知识图以回答德语语法中的自然语言问题

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Question Answering Systems for retrieving information from Knowledge Graphs (KG) have become a major area of interest in recent years. Current systems search for words and entities but cannot search for grammatical phenomena. The purpose of this paper is to present our research on developing a QA System that answers natural language questions about German grammar. Our goal is to build a KG which contains facts and rules about German grammar, and is also able to answer specific questions about a concrete grammatical issue. An overview of the current research in the topic of QA systems and ontology design is given and we show how we plan to construct the KG by integrating the data in the grammatical information system Grammis, hosted by the Leibniz-Institut fuer Deutsche Sprache (IDS). In this paper, we describe the construction of the initial KG, sketch our resulting graph, and demonstrate the effectiveness of such an approach. A grammar correction component will be part of a later stage. The paper concludes with the potential areas for future research.
机译:近年来,用于从知识图(KG)检索信息的问答系统已经成为人们关注的主要领域。当前的系统搜索单词和实体,但是不能搜索语法现象。本文的目的是介绍我们在开发QA系统方面的研究,该系统可以回答有关德语语法的自然语言问题。我们的目标是建立一个包含有关德语语法的事实和规则的KG,并能够回答有关具体语法问题的特定问题。给出了有关QA系统和本体设计主题的当前研究的概述,并且我们展示了我们如何计划通过将数据集成到由德国莱比尼兹大学德语系(IDS)托管的语法信息系统Grammis中来构建KG。 。在本文中,我们描述了初始KG的构造,绘制了结果图,并证明了这种方法的有效性。语法校正组件将是后续阶段的一部分。本文总结了未来研究的潜在领域。

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