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Context Management of Conversational Agent using Two-Stage Bayesian Network  

홍진혁 (연세대학교 컴퓨터과학과)
조성배 (연세대학교 컴퓨터산업공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.10, no.1, 2004 , pp. 89-98 More about this Journal
Abstract
Conversational agent is a system that provides users with proper information and maintains the context of dialogue on the natural language. Analyzing and modeling process of user's query is essential to make it more realistic, for which Bayesian network is a promising technique. When experts design the network for a domain, the network is usually very complicated and is hard to be understood. The separation of variables in the domain reduces the size of networks and makes it easy to design the conversational agent. Composing Bayesian network as two stages, we aim to design conversational agent easily and analyze user's query in detail. Also, previous information of dialogue makes it possible to maintain the context of conversation. Actually implementing it for a guide of web pages, we can confirm the usefulness of the proposed architecture for conversational agent.
Keywords
conversational agent; Bayesian network; context management;
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