Finding Answers to Complex Questions

In this chapter, we motivate one potential type of future QA system that deals with questions more complex than simple factoid questions and which provides answers with their supporting context. Our approach is based on the issues we faced when developing and delivering a QA system to deal with real time questions in the domain of RLVs within the larger field of aerospace engineering. This particular domain, the actual users of the system, and the questions asked, all demanded a change in our question-answering strategy. First, the chapter will present background on the project that provided the context and a description of the system that was deployed. Next, the chapter analyzes the questions put to the system by the users and discusses the implications that this analysis and the user evaluation study had on our design of a QA system of the future

What Do You Mean? Finding Answers to Complex Questions

This paper illustrates ongoing research and issues faced when dealing with real-time questions in the domain of Reusable Launch Vehicles (aerospace engineering). The question- answering system described in this paper is used in a collaborative learning environment with real users and live questions. The paper describes an analysis of these more complex questions as well as research to include the user in the question-answering process by implementing a question negotiation module based on the traditional reference interview

E.D.Liddy, “Question Answering: CNLP at the TREC-2002 Question Answering Track”, http://www.cnlp.org

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