What is it about?
The purpose of our work is to build a question answering system about Vietnam tourism. We combined two methods such as deep learning and knowledge graph to develop the system. When tourists ask the system where a visiting place is, the deep learning method returns a correspondence answer. The knowledge graph method , then, recommends places that relate the answer.
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Why is it important?
This study aims to use a knowledge graph and deep learning to develop a QA system for tourism in Vietnam. First, the QA system replies to a user's question about a place in Vietnam. Then, the QA describes it in detail such as when the place was discovered, why the place's name was called like that, and so on. Finally, the system recommends some related tourist attractions to users
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This page is a summary of: Developing a Vietnamese Tourism Question Answering System Using Knowledge Graph and Deep Learning, ACM Transactions on Asian and Low-Resource Language Information Processing, September 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3453651.
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