Data-Driven Dialogue for Interactive Question Answering

Authors:
Roberto Basili;Diego Cao;Cristina Giannone;Paolo Marocco
Affiliations:
University of Rome Tor Vergata, Department of Computer Science, Systems and Production, 00133 Roma, Italy);University of Rome Tor Vergata, Department of Computer Science, Systems and Production, 00133 Roma, Italy);University of Rome Tor Vergata, Department of Computer Science, Systems and Production, 00133 Roma, Italy);University of Rome Tor Vergata, Department of Computer Science, Systems and Production, 00133 Roma, Italy)
Venue:
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Year:
2007

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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 modularityand portabilityacross different domains, its robustnessthrough 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.