In order to help the user to search for relevant information, Question and Answering (Q&A) Systems provide the possibility to formulate the question freely in a natural language, retrieving the most appropriate and concise answers. These systems interpret the user’s question to understand his information needs and return him the more adequate replies in a semantic sense; they do not perform a statistical word search, thus differing from the existing search engines. There are several approaches to develop and deploy Q&A Systems, making hard to choose the best way to build the system. To turn easier this process, we are proposing a way to create automatically Q&A Systems based on DSLs (Domain-specific Languages), thus allowing the setup and the validation of the Q&A System to be independent of the implementation techniques. With our proposal, we want the developers to focus on the data and contents, instead of implementation details.
CITATION STYLE
de Azevedo, R. P., Pereira, M. J. V., & Henriques, P. R. (2019). DSL Based Automatic Generation of Q&A Systems. In Advances in Intelligent Systems and Computing (Vol. 930, pp. 460–471). Springer Verlag. https://doi.org/10.1007/978-3-030-16181-1_44
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