Towards Knowledge-Based Tourism Chinese Question Answering System

Jiahui Li, Zhiyi Luo, Hongyun Huang and Zuohua Ding
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Jiahui Li: School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China
Zhiyi Luo: School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China
Hongyun Huang: Library, Center of Multimedia Data Analysis, Zhejiang Sci-Tech University, Hangzhou 310018, China
Zuohua Ding: School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China

Mathematics, 2022, vol. 10, issue 4, 1-18

Abstract: With the rapid development of the tourism industry, various travel websites are emerging. The tourism question answering system explores a large amount of information from these travel websites to answer tourism questions, which is critical for providing a competitive travel experience. In this paper, we propose a framework that automatically constructs a tourism knowledge graph from a series of travel websites with regard to tourist attractions in Zhejiang province, China. Backed by this domain-specific knowledge base, we developed a tourism question answering system that also incorporates the underlying knowledge from a large-scale language model such as BERT. Experiments on real-world datasets demonstrate that the proposed method outperforms the baseline on various metrics. We also show the effectiveness of each of the question answering components in detail, including the query intent recognition and the answer generation.

Keywords: knowledge graph; tourism question answering system; intent recognition; language model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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