Research on Chinese FAQ Question Answering System in Restricted Domain
| Autor: | Zheng-Tao Yu, Xiangyan Meng, Jin-Hui Deng, Cun-Li Mao, Lu Han, Yan-Xia Qiu |
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| Rok vydání: | 2007 |
| Předmět: |
Information retrieval
business.industry Computer science Ontology (information science) computer.software_genre Domain (software engineering) Knowledge-based systems Knowledge base Common knowledge Ontology Question answering Domain knowledge Artificial intelligence business computer Natural language processing Natural language |
| Zdroj: | 2007 International Conference on Machine Learning and Cybernetics. |
| DOI: | 10.1109/icmlc.2007.4370832 |
| Popis: | FAQ (frequently-asked question) is a good question and answer model to realize business advisory system in restricted domain. A FAQ question answering system model is presented in this paper. With the help of the idea of ontology, a knowledge base is constructed in the domain. With the help of language KDML (Knowledge Database Mark-up Language) of HowNet,the domain ontology and the relationship of it are defined and described, and the fusion of domain knowledge base (domain HowNet) and common knowledge base(HowNet) is realized. On this basis, a question similarity calculation method, which makes use of the characteristics of the domain question and combines lexical relationship, syntactic interdependent relationship and the semantic relationship of domains among question sentences, is implemented. And based on the question similarity calculation, retrieval of related question from the candidate question set and extraction of answers can be implemented with this method. The result of Yunnan tourism question-answer model experiment shows that this method is feasible and effective. |
| Databáze: | OpenAIRE |
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