Abstract
The question-answering system developed by this research matches one-sentence-long user questions to a number of question templates that cover the conceptual model of the database and describe the concepts, their attributes, and the relationships in form of natural language questions. A question template resembles a frequently asked question (FAQ). Unlike a static FAQ, however, a question template may contain entity slots that are replaced by data instances from the underlying database. During the question-answering process, the system retrieves relevant data instances and question templates, and offers one or several interpretations of the original question. The user selects an interpretation to be answered.
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Sneiders, E. (2002). Automated Question Answering Using Question Templates That Cover the Conceptual Model of the Database. In: Andersson, B., Bergholtz, M., Johannesson, P. (eds) Natural Language Processing and Information Systems. NLDB 2002. Lecture Notes in Computer Science, vol 2553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36271-1_24
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DOI: https://doi.org/10.1007/3-540-36271-1_24
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