Design and Research of Intelligent Weather Question-Answering Service Technology Based on RASA
This study focuses on designing a task-oriented intelligent weather question-answering system based on the Rasa open-source question-answering system framework and the Flask light-weight web service framework.The paper emphasizes the key module RasaNLU within the Rasa framework,incorporating natural language understanding with intent and named entity recogni-tion for dialogue tracking and optimization of conversation strategy,Compared to the built-in RasaCore,improvements in response speed have been achieved,The study also provides a de-tailed description of the application of intelligent question-answering in weather visualization.
Question-Answering SystemRASANatural Language UnderstandingDialogue ManagementWeather Visualization
万方数据
维普
