抄録
Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research, Category: Grant-in-Aid for Young Scientists (A), Fund Type: -, Overall Grant Amount: - (direct: 16100000, indirect: 4830000)
In this study, we proposed (1) a dialogue model based on a recurrent neural network, and (2) a model to estimate the user's interest in topics (e.g., music, fashion, health, etc.) based on the utterances in chat dialogues.