Abstract
In this paper, a light framework for dialogue based interactive question answering is presented. The resulting architecture is called REQUIRE (Robust Empirical QUestion answering for Intelligent Retrieval), and represents a flexible and adaptive platform for domain specific dialogue. REQUIRE characterizes as a domain-driven dialogue system, whose aim is to support the specific tasks evoked by interactive question answering scenarios. Among its benefits it should be mentioned its modularity and portability across different domains, its robustness through adaptive models of speech act recognition and planning and its adherence of knowledge representation standard. The framework will be exemplified through its application within a sexual health information service tailored to young people.
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Basili, R., De Cao, D., Giannone, C., Marocco, P. (2007). Data-Driven Dialogue for Interactive Question Answering. In: Basili, R., Pazienza, M.T. (eds) AI*IA 2007: Artificial Intelligence and Human-Oriented Computing. AI*IA 2007. Lecture Notes in Computer Science(), vol 4733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74782-6_29
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DOI: https://doi.org/10.1007/978-3-540-74782-6_29
Publisher Name: Springer, Berlin, Heidelberg
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