[3K4-J-2] Machine learning: real world interaction

[3K4-J-2-03] A dialogue system implemented with latent parameters

〇Weida Li¹, Chie Hieida², Takayuki Nagai² (1. Seiko Gakuin High School, 2. The University of Electro-Communications)

Keywords:Dialogue System, Machine Learning

When given a conversation, traditional dialogue systems mainly focus on the context that can be observed on the surface of sentences; concretely, they process and determine the output based on the grammar, visible keywords and structure of the sentence. However, the content we convey to others is affected by a multitude of latent parameters, such as emotional state, personal knowledge and personality. Therefore, we have attempted to validate the integrity of a dialogue system which takes these latent parameters into measure, and have sucessfully developed a dialogue system which utilizes latent parameters as input.