Abstract
This paper introduces a text dialog system that can provide counseling dialog based on the semantic content of user utterances. We extract emotion-, problem-, and reason-oriented semantic contents from user utterances to generate micro-counseling system responses. Our counseling strategy follows micro-counseling techniques to build a working relationship with a client and to discover the client’s concerns and problems. Extracting semantic contents allows the system to generate appropriate counseling responses for various user utterances. Experiments show that our system works well as a virtual counselor.
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Notes
- 1.
ALICE: Artificial Intelligence Foundation Inc. http://www.alicebot.org.
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Acknowledgments
This work was partly supported by ICT R&D program of MSIP/IITP [10044508, Development of Non-Symbolic Approach-based Human-Like Self-Taught Learning Intelligence Technology] and National Research Foundation of Korean (NRF) [NRF-2014R1A2A1A01003041, Development of multi-party anticipatory knowledge-intensive natural language dialog system].
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Han, S., Kim, Y., Lee, G.G. (2015). Micro-Counseling Dialog System Based on Semantic Content. In: Lee, G., Kim, H., Jeong, M., Kim, JH. (eds) Natural Language Dialog Systems and Intelligent Assistants. Springer, Cham. https://doi.org/10.1007/978-3-319-19291-8_6
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DOI: https://doi.org/10.1007/978-3-319-19291-8_6
Publisher Name: Springer, Cham
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