关键词
question answering
information retrieval
user modeling
dialogue interfaces
natural language processing
information retrieval
user modeling
dialogue interfaces
natural language processing
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Waheeb Ahmed, & Babu Anto P. (2017). Arabic Question Answering with Dialogue Support. 全球计算机科学与技术杂志, 17(H1), 45–49. 取读于 从 https://gjcst.com/index.php/gjcst/article/view/650
摘要
Question Answering QA system is a combination of Information Retrieval IR and Natural Language Processing NLP techniques It returns a specific answer in response to user question However a system that can interact with the user to clarify and refine the answer is required We propose QA system that adopts a user model for adaptation and a dialogue interface for interaction with the user combined with information retrieval and natural language techniques for Arabic Language Our system will be able to handle users questions in natural language and to present answers in in respect to the user s preferences and expected needs The system achieved a precision of 82 05 and a dialogue success rate of 71 6 The result is highly promising As an extension for the present work we need to make the system more adaptive and capable to learn and evolve with every new interactive scenario
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