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Research on Intelligent Question and Answering Based on a Pet Knowledge Map
2020
International Journal of Networked and Distributed Computing (IJNDC)
Pet knowledge map intelligent Q&A A B S T R A C T This paper proposes a framework for constructing pet knowledge maps. The schema concept layer is designed and built topdown, and the data layer is constructed from knowledge extracted from semi-structured and unstructured data. In the aspect of entity extraction of unstructured data, a symptom-named entity recognition method combining a Conditional Random Field (CRF) and a pet symptom dictionary is proposed. The method uses a symptom dictionary
doi:10.2991/ijndc.k.200515.004
fatcat:65ap6syhejhcjhmzsh34ioksve