A Survey: Complex Knowledge Base Question Answering

Yuxin Luo, Bailong Yang, Donghui Xu, Luogeng Tian
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引用次数: 2

Abstract

Knowledge base question answering(KBQA) is a technique that utilizes the rich semantic information in the knowledge base and fully understands the question to obtain the answer. At present, scholars put more energy into solving complex relationship problems. This paper first outlines the background and core challenges of complex KBQA. Second, two mainstream complex KBQA methods are introduced, namely, semantic parsing (SP-based) and information retrieval (IR-based) methods. Finally, future research trends are analyzed.
一项调查:复杂知识库问答
知识库问答(KBQA)是一种利用知识库中丰富的语义信息,充分理解问题来获得答案的技术。目前,学者们把更多的精力放在解决复杂的关系问题上。本文首先概述了复杂KBQA研究的背景和核心挑战。其次,介绍了两种主流的复杂KBQA方法,即基于语义解析(sp)和基于信息检索(ir)的方法。最后,对未来的研究趋势进行了分析。
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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