Domain-adaptive conversational agent with two-stage dialogue management

Jin Hyuk Hong; Sung Bae Cho

doi:10.1007/978-3-540-30549-1_115

Domain-adaptive conversational agent with two-stage dialogue management

Jin Hyuk Hong, Sung Bae Cho

College of Computing

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

The conversational agent understands and provides users with proper information based on natural language. Conventional agents based on pattern matching have much restriction to manage various types of real dialogues and to improve the answering performance. For the effective construction of conversational agents, we propose a domain-adaptive conversational agent that infers the user's intention with two-stage inference and incrementally improves the answering performance through a learning dialogue. We can confirm the usefulness of the proposed method with examples and usability tests.

Original language	English
Pages (from-to)	1147-1153
Number of pages	7
Journal	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	3339
DOIs	https://doi.org/10.1007/978-3-540-30549-1_115
Publication status	Published - 2004
Event	17th Australian Joint Conference on Artificial Intelligence, AI 2004: Advances in Artificial Intelligence - Cairns, Australia Duration: 2004 Dec 4 → 2004 Dec 6

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-30549-1_115

Cite this

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ER -

Domain-adaptive conversational agent with two-stage dialogue management

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